Careers at Roche

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters. The Position Your department With a department of more than 100 biostatisticians, data scientists, and data managers located at Roche Diagnostics sites in Penzberg, Indianapolis, Mannheim and Sant Cugat del Vallès, we support global projects for bringing new diagnostics to patients. The Opportunity In this role within our Biostatistics & Personalized Healthcare team, you will contribute directly to the research, development, and validation of biomarkers and Companion Diagnostics (CDx). Working in an environment that values open collaboration and innovation, you will receive structured mentorship from senior biostatisticians while applying data science principles to high-impact diagnostic projects. You will gain hands-on experience navigating regulatory frameworks and translating complex biological data into robust diagnostic insights. Key Responsibilities Biomarker Development & Data Science: Support the development and validation of novel biomarkers and companion diagnostic assays. Statistical Programming (R): Write, validate, and execute reproducible, high-quality analysis scripts in R to process analytical and clinical datasets. Data Quality & Compliance: Perform code peer-reviews and rigorous quality control checks to ensure data accuracy and adherence to internal SOPs and regulatory standards. Study Planning & Design: Assist in drafting Statistical Analysis Plans (SAPs) and performing sample size/power calculations for analytical and clinical studies. Cross-Functional Collaboration: Partner with interdisciplinary study teams to understand data requirements and present complex statistical findings clearly. Who You Are You are a curious, analytical thinker who thrives in a collaborative environment and is passionate about using quantitative methods to advance healthcare. Your Profile: Education: Degree ( M.Sc ., or Ph.D.) in (Bio)statistics, Mathematics, Data Science, Physics, Epidemiology, or a related quantitative field. Diagnostic Statistics: Foundational understanding of statistical methodologies relevant to diagnostic applications (e.g., ROC curve analysis, cut-off determination, logistic regression, survival analysis, or longitudinal modeling). Technical Toolkit: Strong knowledge of R and report automation tools ( LaTeX , R Markdown , knitr , or Quarto ). Familiarity with AI-assisted coding tools/workflows is a plus. Communication Skills: Ability to break down complex quantitative concepts and communicate them clearly to non-statistical team members. Strong organization and technical documentation skills. Languages: Fluency in English (written and spoken) is required. Preferred : Previous exposure to diagnostic/pharmaceutical research or clinical trial data analysis through internships, working student roles, or academic research projects. What do we offer? We offer competitive compensation and excellent social benefits like flexible work schedule and home office policies, medical insurance, pension plan, allowances for marriage and birth, training related to your career development, gym, meal allowance, flexible remuneration scheme with its fiscal advantages and other benefits https://youtu.be/Jtm7g7fBnlQ Who we are A healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact. Let’s build a healthier future, together. Roche is an Equal Opportunity Employer.

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters. The Position This role is in Analytical Data Science, a core function within Product Development Data Sciences (PDD) that provides strategic leadership and scientific rigor across Development at Roche. PDD Analytical Data Science teams are mobilized across the portfolio to generate data-driven insights, identify opportunities for scale, and implement impactful solutions. PDD Analytical Data Science is recognized as a leading hub for top industry talent, operating as an agile workforce to deliver regulatory commitments across the portfolio. We identify, influence, and adopt industry-leading digital and automation solutions, develop analytical approaches to support exploratory analyses, and align statistical programming practices across both early- and late-stage clinical development. The Opportunity: The Senior Principal DSX Data Scientist in the Data Science Acceleration (DSX) team is responsible for developing scalable tools, environments, and workflows that enable efficient, high-quality statistical computing across Product Development Data Sciences (PDD). This role focuses on creating and maintaining next-generation capabilities that support automation of programming workflows, generation of reusable coding macros, and advanced data visualization. Working closely with statistical programmers, biostatisticians, and clinical scientists, the Data Scientist translates scientific and operational needs into robust, modular, and user-friendly solutions that streamline evidence generation and support faster, more reliable decision-making across the development pipeline. You provide strategic and technical leadership in the design and evolution of Roche’s next-generation statistical computing platforms, ensuring they meet the future needs of PDD and the broader organization You anticipate emerging industry trends, technologies, and regulatory shifts, and translate them into forward-looking data science capabilities, frameworks, and standards You lead large-scale, cross-functional initiatives that redefine how clinical, operational, or real-world data are processed, visualized, and interpreted for decision-making You serve as a senior technical advisor to platform owners, programming and statistical leadership, and governance teams on complex topics involving infrastructure, automation, and scientific computing You guide technical vision, architectural decisions, and resource planning for high-impact tooling and infrastructure projects across DSX You resolve complex, system-level challenges across disciplines by applying deep scientific computing expertise and systems thinking You influence internal policy and development standards, and drive adoption of best practices that scale across teams, functions, and geographies You communicate complex technical ideas clearly to senior-level stakeholders and shape decisions on investment, tooling strategy, and portfolio priorities You foster a culture of technical excellence, collaboration, and innovation through mentorship, internal community building, and knowledge sharing Who you are: You hold a PhD or Master’s degree in Computer Science, Data Science, Statistics, Bioinformatics, Engineering, or a related quantitative field You have a minimum of 10 years of experience in data science, statistical computing, or platform development, with a demonstrated track record of impact at organizational or cross-functional levels You are a recognized expert in building and scaling scientific or statistical software systems, with deep understanding of clinical research environments and regulatory implications You bring expertise in multiple programming environments (e.g., Python, R) and development practices for reproducible, compliant, and high-performance computing You have demonstrated leadership of major programs or cross-functional initiatives with technical complexity and strategic significance You demonstrate capacity for independent thinking and ability to make decisions based upon sound principles You bring excellent strategic agility including problem-solving and critical thinking skills, and agility that extends beyond the technical domain You demonstrate respect for cultural differences when interacting with colleagues in the global workplace You have excellent verbal and written communication skills, including the ability to influence senior stakeholders and explain technical strategy with clarity and confidence You have proven experience leading global, cross-functional projects or workstreams, demonstrating effective coordination across time zones and diverse stakeholder groups Preferred Qualifications: Experience shaping the architecture and long-term roadmap of enterprise-scale data science platforms or statistical computing environments Demonstrated ability to influence regulatory and quality frameworks in the context of digital and analytical tools Strategic understanding of healthcare data ecosystems, including real-world data, translational pipelines, and high-dimensional data integration Proven ability to drive tool adoption and cultural change through technical leadership, stakeholder engagement, and thoughtful design Engagement with external scientific or developer communities (e.g., open-source contributions, industry consortia, conference presentations) Experience guiding investment and resource decisions for high-impact tooling or analytics initiatives Ability to synthesize organizational priorities and translate them into impactful, technically sound solutions at scale Relocation benefits are not available for this posting The expected salary range for this position based on the primary location of Mississauga is 148,568.00 and 194,995.50 of hiring range. Actual pay will be determined based on experience, qualifications, and other job-related factors as determined by the company. We use artificial intelligence to screen, assess or select applicants for this role. This posting is for an existing vacancy at Hoffmann-La Roche Ltd. Who we are A healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact. Let’s build a healthier future, together. Roche is an Equal Opportunity Employer.

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters. The Position IT Software Engineer - DIA R&D Who we are: The CDMA Product Area delivers essential technology platforms that enable clinical trial operations and evidence generation across Diagnostics R&D. We manage the core clinical trial ecosystem (including CTMS and Veeva eTMF) and are responsible for converging these systems into an integrated, AI-ready platform. Our goal is to accelerate diagnostic approval timelines and support the CDMA 2030 vision of delivering trials 15% faster and cheaper. The Opportunity: We are looking for an IT Software Engineer who balances high-level architecture with hands-on execution. In this role, you will provide technical expertise for our clinical product portfolio, designing scalable solutions while maintaining a hands-on role in writing code and building complex integrations. Technical Stewardship & Architecture Own the Technical Vision: Design and maintain the solution architecture for our clinical product portfolio, ensuring all systems are scalable, reliable, and secure. Platform Lifecycle Management: Assess and manage the technical lifecycle impact of SaaS vendors (e.g., Veeva eTMF, CTMS), including release management, technical debt reduction, and GIS/security compliance. Tech Stack Evolution: Evaluate and implement modern tooling, frameworks, and AI-assisted workflows to continuously improve development velocity and clinical operations. Engineering Excellence: Establish and enforce best practices across the product lifecycle, including CI/CD pipelines, automated testing, system monitoring, and rigorous code reviews. Technical Execution & Delivery Hands-on Engineering: Act as a player-coach, spend a significant portion of your time hands-on, writing code, building complex API integrations, and solving the toughest technical hurdles in the trenches. Agile & Lean Delivery: Select and manage the right toolsets for the product team. Translate complex business requirements into actionable technical tasks applying Agile (Scrum/Kanban) and Lean Programming (LEAP) methodologies to eliminate process waste and continuously optimize development velocity. Risk Management: Proactively identify and mitigate technical and architectural risks. Establish and track software quality metrics to ensure absolute data integrity and system performance across all clinical environments. Cross-Functional Collaboration Strategic Liaison: Serve as the primary technical point of contact for stakeholders across R&D and Clinical Development & Medical Affairs (CDMA). Bridging Tech and Science: Partner closely with the Head of Product to translate the "Digital Endgame" business strategy into executable technical roadmaps. Who you are: Education / Experience 5+ years of professional experience in software engineering, solution architecture, and systems integration. Proven experience managing the technical lifecycle of enterprise SaaS platforms. Familiarity with clinical systems (e.g., CTMS, Veeva eTMF) is highly preferred. Technical Skills Deep expertise in setting up and managing CI/CD pipelines, automated testing, and cloud infrastructure. Strong capability to design, craft, deploy, and sustain complex API integrations and data pipelines tailored to business requirements. Strong interest or demonstrated experience in integrating AI/ML capabilities or GenAI tools into enterprise workflows. Good understanding of cybersecurity and the implementation of secure software development practices. Ability to identify and proactively address complex technical debt, performance bottlenecks, and architectural challenges. Solid understanding of software quality management and performance metrics to ensure absolute data integrity. Additional Qualifications Agile and Lean Programming (LEAP) methodologies, with a strong ability to eliminate technical waste, optimize value delivery, and break down complex architectural goals into deliverable sprints. Excellent ability to act as a bridge between Tech and Science, translating complex technical trade-offs to non-technical business stakeholders in Clinical Development and Medical Affa irs. What You'll Get Competitive salary range 14,100-26,300 PLN gross based on the employment contract. Annual bonus payment based on your performance (target 15%). Hybrid Work Model: 2 days per week in office (Poznań or Warsaw) Comprehensive benefits: Private healthcare (LuxMed), group life insurance (UNUM), Multisport card Generous leave programs: Recharge Fridays (2 extra Fridays off per quarter), Take Time Program (up to 3 months), Take Time for Charity (up to 2 weeks) Global work options: Flex Location for extended periods anywhere in the world Additional perks: Stock share purchase options, company equipment sales, and more! INTERESTED? APPLY! If you feel this offer suits a friend of yours, feel free to share it. The controller of your personal data is Roche Polska Sp. z o.o., ul. Domaniewska 28, 02-672 Warsaw. The data is processed for the purpose of recruitment. You have the right to access your data, rectify it, delete it, limit processing, transfer it and - if processing is based on your consent - withdraw this consent at any time. Contact the Data Protection Officer at: Ochrona.danych@roche.com. More information on the principles of processing your personal data by Roche at the link: https://www.roche.pl/pl/content/klauzula-informacyjna-rekrutacja-en.html Roche Polska sp. z o.o. operates in full compliance with the law and does not tolerate any violations. Roche Polska sp. z o.o. has implemented a Procedure for Reporting Violations of Law. If you wish to report any irregularities related to our activities, all necessary information regarding the reporting process can be found on our website: https://www.roche.pl/kontakt/ochrona-sygnalistow-zglaszanie-naruszen . Compensation & Benefits The expected salary range for this position, based on the primary location of Warsaw Grafit is 170,100.00 PLN - 315,900.00 PLN. Final compensation will be determined by a number of factors, including your skills, experience, qualifications, and location. In addition to base pay, this role may be eligible for a discretionary annual bonus with a target of 15% subject to both individual and company performance. This position also offers an attractive benefits package . Learn more about how we reward our employees at Roche. Who we are A healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact. Let’s build a healthier future, together. Roche is an Equal Opportunity Employer.

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters. The Position IT Software Engineer - DIA R&D Who we are: The CDMA Product Area delivers essential technology platforms that enable clinical trial operations and evidence generation across Diagnostics R&D. We manage the core clinical trial ecosystem (including CTMS and Veeva eTMF) and are responsible for converging these systems into an integrated, AI-ready platform. Our goal is to accelerate diagnostic approval timelines and support the CDMA 2030 vision of delivering trials 15% faster and cheaper. The Opportunity: We are looking for an IT Software Engineer who balances high-level architecture with hands-on execution. In this role, you will provide technical expertise for our clinical product portfolio, designing scalable solutions while maintaining a hands-on role in writing code and building complex integrations. Technical Stewardship & Architecture Own the Technical Vision: Design and maintain the solution architecture for our clinical product portfolio, ensuring all systems are scalable, reliable, and secure. Platform Lifecycle Management: Assess and manage the technical lifecycle impact of SaaS vendors (e.g., Veeva eTMF, CTMS), including release management, technical debt reduction, and GIS/security compliance. Tech Stack Evolution: Evaluate and implement modern tooling, frameworks, and AI-assisted workflows to continuously improve development velocity and clinical operations. Engineering Excellence: Establish and enforce best practices across the product lifecycle, including CI/CD pipelines, automated testing, system monitoring, and rigorous code reviews. Technical Execution & Delivery Hands-on Engineering: Act as a player-coach, spend a significant portion of your time hands-on, writing code, building complex API integrations, and solving the toughest technical hurdles in the trenches. Agile & Lean Delivery: Select and manage the right toolsets for the product team. Translate complex business requirements into actionable technical tasks applying Agile (Scrum/Kanban) and Lean Programming (LEAP) methodologies to eliminate process waste and continuously optimize development velocity. Risk Management: Proactively identify and mitigate technical and architectural risks. Establish and track software quality metrics to ensure absolute data integrity and system performance across all clinical environments. Cross-Functional Collaboration Strategic Liaison: Serve as the primary technical point of contact for stakeholders across R&D and Clinical Development & Medical Affairs (CDMA). Bridging Tech and Science: Partner closely with the Head of Product to translate the "Digital Endgame" business strategy into executable technical roadmaps. Who you are: Education / Experience 5+ years of professional experience in software engineering, solution architecture, and systems integration. Proven experience managing the technical lifecycle of enterprise SaaS platforms. Familiarity with clinical systems (e.g., CTMS, Veeva eTMF) is highly preferred. Technical Skills Deep expertise in setting up and managing CI/CD pipelines, automated testing, and cloud infrastructure. Strong capability to design, craft, deploy, and sustain complex API integrations and data pipelines tailored to business requirements. Strong interest or demonstrated experience in integrating AI/ML capabilities or GenAI tools into enterprise workflows. Good understanding of cybersecurity and the implementation of secure software development practices. Ability to identify and proactively address complex technical debt, performance bottlenecks, and architectural challenges. Solid understanding of software quality management and performance metrics to ensure absolute data integrity. Additional Qualifications Agile and Lean Programming (LEAP) methodologies, with a strong ability to eliminate technical waste, optimize value delivery, and break down complex architectural goals into deliverable sprints. Excellent ability to act as a bridge between Tech and Science, translating complex technical trade-offs to non-technical business stakeholders in Clinical Development and Medical Affa irs. What You'll Get Competitive salary range 14,100-26,300 PLN gross based on the employment contract. Annual bonus payment based on your performance (target 15%). Hybrid Work Model: 2 days per week in office (Poznań or Warsaw) Comprehensive benefits: Private healthcare (LuxMed), group life insurance (UNUM), Multisport card Generous leave programs: Recharge Fridays (2 extra Fridays off per quarter), Take Time Program (up to 3 months), Take Time for Charity (up to 2 weeks) Global work options: Flex Location for extended periods anywhere in the world Additional perks: Stock share purchase options, company equipment sales, and more! INTERESTED? APPLY! If you feel this offer suits a friend of yours, feel free to share it. The controller of your personal data is Roche Polska Sp. z o.o., ul. Domaniewska 28, 02-672 Warsaw. The data is processed for the purpose of recruitment. You have the right to access your data, rectify it, delete it, limit processing, transfer it and - if processing is based on your consent - withdraw this consent at any time. Contact the Data Protection Officer at: Ochrona.danych@roche.com. More information on the principles of processing your personal data by Roche at the link: https://www.roche.pl/pl/content/klauzula-informacyjna-rekrutacja-en.html Roche Polska sp. z o.o. operates in full compliance with the law and does not tolerate any violations. Roche Polska sp. z o.o. has implemented a Procedure for Reporting Violations of Law. If you wish to report any irregularities related to our activities, all necessary information regarding the reporting process can be found on our website: https://www.roche.pl/kontakt/ochrona-sygnalistow-zglaszanie-naruszen . Compensation & Benefits The expected salary range for this position, based on the primary location of Warsaw Grafit is 170,100.00 PLN - 315,900.00 PLN. Final compensation will be determined by a number of factors, including your skills, experience, qualifications, and location. In addition to base pay, this role may be eligible for a discretionary annual bonus with a target of 15% subject to both individual and company performance. This position also offers an attractive benefits package . Learn more about how we reward our employees at Roche. Who we are A healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact. Let’s build a healthier future, together. Roche is an Equal Opportunity Employer.

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters. The Position Job description The Senior IT Data Engineer is responsible for leading, designing, developing, and maintaining scalable and robust data pipelines and infrastructure. This role involves independently building ETL/ELT processes, optimizing data storage solutions (such as data warehouses and data lakes), ensuring data quality and reliability, and monitoring data systems. You will collaborate closely with data scientists and analysts to meet their specific data requirements, utilizing strong programming skills in Python or Scala, expert SQL knowledge, and proficiency in big data technologies like Spark. Description of the area Job Responsibilities Scope / (Content Leadership): Leads the design, build, and maintenance of scalable data pipelines. Works independently to execute specific data engineering projects from start to finish. Accountability/Problem Solving: Solves complex data ingestion and processing problems. Optimizes data flows and actively enhances overall system performance. Stakeholder Management: Engages directly with broader business units and data scientists to thoroughly understand and meet their data needs. Communicates effectively with both technical and non-technical stakeholders. Integrate data from databases, APIs, applications, files, streaming platforms, and third-party systems. Develop robust data transformation and processing workflows using SQL, Python, and distributed processing technologies. Impact/Strategy: Handles big-sized data engineering projects. Implements robust strategies that significantly improve the organization's data infrastructure. Complexity / (Product Size): Manages complex, large-scale data systems. Integrates multiple diverse data sources and ensures efficient, reliable data flow across platforms. Develop reusable engineering components and follow software engineering practices including Git, CI/CD, testing, code reviews, and documentation. Collaborate with technical leads across Data, Content, Integration, UI, and Platform, as well as architects, product teams, and business stakeholders, to translate business and technical requirements into scalable solutions. Qualifications Education / Experience Demonstrated experience handling big-sized data engineering projects and managing complex, large-scale data systems. Proven track record of independently building ETL/ELT processes and optimizing data storage solutions such as data warehouses and data lakes. Experience ensuring data quality, reliability, and monitoring data systems. Hands-on experience with at least one major cloud platform: AWS, Azure or GCP. Understanding of data formats and technologies such as Parquet, JSON, Delta Lake. Strong understanding of data quality, reliability, security, and governance principles. Technical Skills Proficiency in programming languages such as SQL, Python, Java, or Scala. Strong, expert knowledge of cloud platforms and Big Data tools, specifically Hadoop and Spark. Advanced capability to solve complex data ingestion and processing problems, and to optimize data flows for enhanced system performance. Additional Qualifications Exceptional communication and collaboration skills, with the proven ability to engage effectively with both technical audiences (like data scientists) and non-technical business stakeholders. Shift: CET time zone #Hyderabad2026 Who we are A healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact. Let’s build a healthier future, together. Roche is an Equal Opportunity Employer.

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters. The Position Job description Our Applied AI Engineering Team is seeking a fullstack AI Data Engineer to join a newly formed, autonomous development squad dedicated to pioneering agentic, LLM-based solutions. Operating across the entire lifecycle—from initial ideation and rapid prototyping to production-grade deployment and ongoing operations—you will architect the resilient data infrastructure required to power next-generation AI. We are looking for an expert capable of orchestrating both structured and unstructured datasets, implementing high-performance vector databases, and managing real-time streams within cloud-native environments. Description of the area At Roche Digital Technology, we are advancing the boundaries of Applied AI. The Applied AI Engineering Team focuses on architecting, building, and operating high-value AI solutions and services to solve complex business challenges in healthcare. In the 2026 tech landscape, we operate in small, highly autonomous agile teams (e.g., ~9 members) powered by advanced coding agents (like Claude Code) to develop and ship solutions faster than ever before. In this highly regulated environment, quality cannot be an afterthought. You will be the foundational pillar ensuring our rapidly developed agentic workflows and AI, GenAI, and agentic applications are safe, compliant, and robust before they reach the clinical or enterprise user. Job Responsibilities Generative AI Application Co-creation : Collaborate with AI engineers, data scientists, product owners, and other developers in Agile teams to integrate LLMs into scalable, robust, fair, and ethical end-user applications, focusing on user experience, relevance, and real-time performance Data Infrastructure Development and Data Integration : Design and implement scalable, high-performance data pipelines for AI/GenAI applications, ensuring efficient data ingestion, transformation, storage and retrieval; integrate different databases, requiring understanding of data architectures / Domain data ecosystem Vector Databases : work with vector databases (e.g., AWS OpenSearch, Azure AI Search) to facilitate scalable, high-speed similarity search and RAG for generative AI applications with high-dimensional data. Graph Databases : Work with graph databases (e.g., Neo4j, AWS Neptune) to enable GraphRAG, support multi-hop logical reasoning for agentic workflows, and provide auditable explainability for enterprise AI decision-making. Cloud-Based Data Engineering: Build and maintain cloud-based data solutions using AWS (OpenSearch, S3) or Azure (Azure AI Search, Azure Blob Storage) Snowflake Implementation: Design and optimize data storage and processing using Snowflake for scalable, cloud-native analytics solutions Data Processing & Transformation : Develop ETL/ELT pipelines to enable real-time and batch data processing Support AI Model Workflows : Collaborate with AI/ML Engineers and Data Scientists to ensure seamless integration of data pipelines with AI finetuning, inference and training workflows Performance Optimization : Optimize data storage, retrieval, and processing strategies for efficiency, scalability, and cost-effectiveness Software Development Lifecycle : understand and leverage an agentic software development lifecycle (SDLC) in day to day work Security & Compliance : Implement data governance, security best practices, and compliance measures aligned with Roche’s standards Monitoring & Maintenance : Set up monitoring, alerting, and logging for data pipelines, ensuring high availability and reliability Skills Must have: Experience : 7+ years in data engineering, preferably supporting AI/ML applications Advanced Programming & SQL: Writing production-grade code in Python alongside highly optimized, complex SQL queries. Advanced System Architecture & Modeling: Designing scalable, fault-tolerant ETL/ELT data pipelines and Lakehouse architectures (e.g., Snowflake). Orchestration: Hands-on expertise with orchestration tools (like Airflow). Data Engineering in AI: Developing Retrieval-Augmented Generation (RAG), AI systems powered by Vector Databases and/or LLM fine-tuning, and data preparation Document Processing Proficiency : Extracting, transforming, and loading data from diverse file formats (PDF, DOCX, CSV, JSON, etc.), including automated parsing and information retrieval from unstructured and semi-structured documents Version Control & DevOps : Hands-on experience with Git, CI/CD, containerization (Docker, Kubernetes), and Infrastructure as Code (Terraform, CloudFormation) Problem Solving: Excellent analytical skills and the ability to tackle complex challenges with innovative solutions Should have: AWS Cloud Platforms: Hands-on experience with AWS (OpenSearch, S3, Lambda, AWS fundamentals) GraphDB: Experience in building solutions with GraphDB APIs & Microservices : Ability to design and integrate RESTful APIs for data exchange Data Security & Governance : Understanding of encryption and role-based access controls Working in an SDLC environment meeting regulatory requirements Proficiency in best practices of software engineering Agentic SDLC & Engineering Excellence: Leverage AI coding assistants and autonomous agents (e.g., Claude Code, Ona) daily to accelerate full-stack development and testing cycles. Conduct rigorous code reviews for both human-written and AI-generatd code. Could have: Regulatory Compliance: Proven experience in working within highly regulated industries. Data Science & Classical Machine Learning : Practical background in Data Science, encompassing feature engineering, model training, and data preparation leveraging traditional ML techniques. Distributed Data Processing: Hands-on expertise with big data frameworks (like Apache Spark or Flink). Capabilities: Problem-Solving Skills: Excellent analytical skills to tackle complex engineering and statistical challenges. Ownership & Leadership: Deep sense of accountability, eager to define architectural patterns, and able to step into a Tech Lead role when necessary. Consulting: Ability to work closely with stakeholders across the enterprise to consult on the technological approaches to their business problems. Ethics: Strong understanding of biases, fairness, hallucination mitigation, and responsible AI deployment. Qualifications hold B.Sc., B.Eng., or higher, or equivalent in Computer Science, Data Engineering or related fields have an interest in AI and stay up to date with the latest advancements in data engineering be team-oriented, proactive, and collaborative have strong analytical and problem-solving skills have excellent verbal and written communication skills be detail-oriented and highly organized be willing to learn and expand their skill set have the ability to work collaboratively in a fast-paced, dynamic environment be able to communicate in English at the level of C1+ Located in Hyderabad, India, with working hours structured to capture the 'golden hours' of overlap with Central European Time (typically running through the IST evening). Shift: CET time zone #Hyderabad2026 Who we are A healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact. Let’s build a healthier future, together. Roche is an Equal Opportunity Employer.

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters. The Position As a Technical Expert within the MES CORE PharmaSuite landscape, you are responsible for driving the technical direction, engineering quality and operational stability of the global MES Platform, Rockwell PharmaSuite.You operate at the intersection of architecture and hands-on engineering, ensuring that solutions are not only well designed but also implementable, stable and compliant in a GxP- regulated environment. You provide technical leadership across multiple solutions , guide teams through complex challenges and act as a senior escalation point for technical critical issues. In this role, you combine strong system design capabilities with deep hands-on expertise in areas such as certificate management, scripting, Kubernetes, and platform operations, while contributing to the technical roadmap and continuous improvement of the MES CORE landscape Description of the area Within RDT Pharma Technical Operations and specifically in the context of Manufacturing Technologies, the Manufacturing Execution System (MES) team is responsible to ensure that our manufacturing operations are running in compliance and efficiently. The MES Technical Lead is the bridge between the high-level business requirements of a manufacturing sites, and the complex technical execution of the software. Job Responsibilities Scope / (Content Leadership): Designs solutions that meet product requirements, business priorities, and enterprise standards. Manages Non-Functional Requirements (NFR) and fitness functions. Documents and evolves the architecture throughout the product life cycle and aligns with the architecture community for governance. Applies frameworks in a Complex or Multiple Solution or Product Context. Accountability/Problem Solving: Leads others to solve complex problems; uses sophisticated analytical thought to exercise judgment and identify innovative solutions. Maintains the vision, roadmap, and current landscape for multiple solutions. Assesses and consults on the impacts and dependencies of initiatives on capabilities, risk, and the application landscape. Creates Conceptual & Logical Data Models, Taxonomies, Ontologies, and Integration pathways for the product. Defines and drives reference architectures, patterns, NFRs, and fitness functions, ensuring Architecture Decision Records (ADRs) are recorded and published for multiple solutions or the product. Drives external technology trends and assesses feasibility, including vendor assessments. Stakeholder Management: Communicates difficult concepts clearly and negotiates with others to adopt a different point of view. Drives information sharing across the complete product. Impact/Strategy: Develops and maintains the product's technology roadmap. Provides technical oversight, guidance, and consultation on specific technologies for product teams. Improves existing solutions, manages technical debt, and researches, evaluates, pilots, and drives the adoption of new technologies. Identifies opportunities to enhance value and business processes within a Complex or Multiple Solution or Product Context. Complexity / (Product Size): Operates within a Complex or Multiple Solution or Product Context. Business / Technical ability: Applies in-depth and expert-level knowledge in multiple technology areas. Proactively contributes to Architecture Practices development and mentoring. Technical Leadership & Engineering: leads the technical design and implementation of MES CORE PharmaSuite components, with a strong focus on: Certificate Management Windows scripting and automation of deployment, configuration and operational tasks Windows and Linux based operating systems in an enterprise environment Containerization and orchestration with Kubernetes Application engineering for PharmaSuite components ( Deployment, configuration, hardening) Expert level troubleshooting and root cause analysis for complex incidents and problems Compliance, CSV & Documentation: ensures that technical solutions and changes comply with GxP, GMP, GAMP5 and Roche Quality Standards, in addition to providing technical input to risk assessments, test strategies and test evidence. Collaborates closely with QA/CSV lead and Delivery Service Manager to ensure consistent and compliant documentation and validation practices across sites. Qualifications Education / Experience Bachelor/master degree in Computer Science, Engineering, Information Systems or a related technical discipline 5+ years of experience in Manufacturing IT and MES Environments, preferablypreferrably with Rockwell PharmaSuite. Demonstrated experience designing business-driven, standards-based, future-ready solutions within a complex or multiple solution/product context. Experience maintaining the vision, roadmap, and current landscape for multiple solutions, and assessing the impacts of initiatives on capabilities, risk, and application landscapes. Proven track record of proactively contributing to architecture practices development and mentoring others. Technical Skills In-depth and expert-level knowledge in multiple technology areas: Windows- and Linux‑based operating systems (installation, configuration, hardening, operations). Windows scripting (PowerShell); experience with Linux Shell Scripting is a plus. Containerization and orchestration with Kubernetes. Certificate management and PKI (provisioning, renewal, deployment, troubleshooting of certificates across environments). Proficiency in creating Conceptual & Logical Data Models, Taxonomies, Ontologies, and Integration pathways for products. Ability to define and drive reference architectures, patterns, NFRs, and fitness functions. Strong troubleshooting skills and hands on experience in application engineering and operations for manufacturing critical systems Additional Qualifications Exceptional communication and negotiation skills, with the ability to communicate difficult concepts and influence stakeholders to adopt different perspectives. Proactive mindset to identify opportunities to enhance value, improve existing solutions, manage technical debt, and lead teams in identifying innovative solutions. Works effectively with international and intercultural teams; collaborative, respectful and confident in expressing and defending technical opinions. Proficient in English, suitable for daily collaboration in an international environment. Any other language is a plus. Shift: CET time zone #Hyderabad2026 Who we are A healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact. Let’s build a healthier future, together. Roche is an Equal Opportunity Employer.

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters. The Position External Job Ad Text Job description We are seeking a highly skilled AI Quality Engineer specializing in testing Generative (and non-Generative) AI applications and agentic systems to join our team. The ideal candidate will have expertise in both traditional software testing and specialized testing methodologies for Large Language Models (LLMs)-based and AI-based systems. As a fullstack Quality Engineer within a lean, agentic software team, you will cover the entire spectrum of quality assurance. You will span manual exploratory testing, traditional automated UI/API/MCP testing (across our Python and TypeScript stack), classical machine learning validation, and cutting-edge generative and agentic AI evaluation. This role requires a deep understanding of LLM, agentic and ML systems behaviors, and testing frameworks to ensure the reliability, fairness, and effectiveness of our AI-powered solutions. Description of the area At Roche Digital Technology, we are advancing the boundaries of Applied AI. The Applied AI Engineering Team focuses on architecting, building, and operating high-value AI solutions and services to solve complex business challenges in healthcare. In the 2026 tech landscape, we operate in small, highly autonomous agile teams (e.g., ~9 members) powered by advanced coding agents (like Claude Code) to develop and ship solutions faster than ever before. In this highly regulated environment, quality cannot be an afterthought. You will be the foundational pillar ensuring our rapidly developed agentic workflows and AI, GenAI, and agentic applications are safe, compliant, and robust before they reach the clinical or enterprise user. Job Responsibilities Generative & Agentic AI Testing Strategy: Design and implement comprehensive testing strategies specifically tailored for LLM-based applications and agentic systems, including evaluation of model responses, RAG pipelines accuracy, and overall system reliability. You will expand this to evaluate autonomous multi-agent behaviors and tool-use accuracy. Full-Stack Test Automation: Design and implement automated testing solutions for continuous evaluation of LLM applications, including integration tests, performance tests, and specialized AI behavior tests. This spans both our Python backend services and modern TypeScript/React/Angular frontends. Quality Assurance Framework & Compliance: Utilize Roche's testing frameworks that address both traditional software quality aspects and AI-specific concerns such as output consistency, contextual accuracy, and ethical compliance; co-create and maintain such frameworks when required. Create and maintain comprehensive test documentation testing strategy, test cases, and testing guidelines specific to AI applications and compliant with Roche practices. Edge Case, Bias, and Fairness Testing: Identify and develop test scenarios for edge cases in LLM behavior, including handling of ambiguous inputs, potential biases, and unexpected response patterns. Design and execute tests to identify potential biases in model outputs and ensure fair treatment across different user groups and use cases. Security & Performance Testing: Collaborate within development teams to test for potential vulnerabilities specific to LLM applications, including prompt injection, data leakage, and other AI-specific security concerns. Collaborate with other engineers to conduct thorough performance testing of GenAI applications, including response time analysis, load testing, and resource utilization monitoring. Qualifications Hold B.Sc., B.Eng., M.Sc., M.Eng. in Computer Science, Software Engineering, or equivalent degree with strong background in testing methodologies. Be passionate about quality assurance and testing, particularly in the context of AI and GenAI applications and agents. Have strong analytical and problem-solving skills with attention to detail. Utilize critical thinking and problem-solving when using AI prompts (in e.g. NLP, data distributions and edge cases). Be proactive in identifying potential issues and suggesting improvements. Education / Experience Experience: 7+ years of experience in software testing, with at least 1 year focused on genAI and/or agentic applications. Regulated Environments: Be ready to work in a regulated environment with qualified infrastructure and validated applications, understand the difference between GxP and non-GxP products and the importance of CSV and ITSM processes in the delivery. Agile Integration: Be experienced in working with Agile development teams. Skills Must-have: Comprehensive Full-Stack Testing Mastery Core Languages & Testing Frameworks: Advanced command of Python and standard testing frameworks (e.g., pytest, allure), alongside practical familiarity with specialized AI evaluation tools. High competence in TypeScript-driven test frameworks (such as Playwright, Jest, and Cypress) for thoroughly verifying dynamic generative user interfaces. End-to-End Automation & CI/CD: Proven expertise in architecting and maintaining end-to-end automated testing suites that bridge traditional UI/API validation with complex, asynchronous AI/LLM evaluation pipelines. Pipeline Integration: Hands-on experience integrating these comprehensive suites within GitHub Actions or modern CI/CD pipelines to ensure continuous, reliable quality checks throughout the entire development lifecycle. Advanced AI Quality & Evaluation Mastery AI Evaluation Frameworks: Expertise in implementing evaluation harnesses (e.g., RAGAS, DeepEval, Promptfoo) to quantify LLM performance, hallucination rates, and answer relevancy. Agentic Workflow Validation: Ability to test autonomous agentic loops, including tool-use accuracy, step-by-step reasoning verification, and goal-directed performance metrics. Evaluation Datasets: Experience in curating, managing, and versioning 'Golden Datasets' for benchmarking model responses against ground truth in both development and production environments. Observability & Feedback Loops: Leveraging tracing (e.g., LangSmith, Arize Phoenix) to monitor production inputs/outputs, identify drift, and capture user feedback for continuous improvement. Basic broad AI knowledge: Understanding of LLM architectures, RAG systems, agents, and common failure modes in AI applications. Python Expertise: Advanced proficiency in writing robust, maintainable Python code for test automation (e.g., pytest). Experience using Python to orchestrate complex AI evaluation workflows, process large datasets for benchmarking, and automate interactions with LLM/AI services. Ability to integrate Python scripts into CI/CD pipelines for automated quality checks and performance observability in agentic systems. Should-have: Cloud: Practical experience with testing applications on cloud platforms (AWS) and working with cloud-based AI services. Observability & ALM: Experience with monitoring and observability tools, log analysis, and performance metrics tracking (Grafana). Experienced in Roche mandatory ALM tools (Jira, GitHub). Agentic SDLC & Engineering Excellence: Leverage AI coding assistants and autonomous agents (e.g., Claude Code, Ona) daily to accelerate full-stack development and testing cycles. Conduct rigorous code reviews for both human-written and AI-generated code. Security: Understanding of security testing methodologies, particularly in the context of AI applications. Could-have: Regulatory Compliance: Proven understanding of AI quality assurance and testing standards within highly regulated industries. Additional Qualifications Stay current with the latest developments in AI and GenAI testing methodologies and best practices. Have excellent communication skills and the ability to clearly document findings and recommendations. Be able to communicate in English at the level of C1+. Located in Hyderabad, India, with working hours structured to capture the 'golden hours' of overlap with Central European Time (typically running through the IST evening). Shift: CET time zone #Hyderabad2026 Who we are A healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact. Let’s build a healthier future, together. Roche is an Equal Opportunity Employer.

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters. The Position About the Role At Roche Digital Technology, we are advancing the boundaries of Applied AI. The Applied AI Use Case Engineering & Operations Team is tasked with building innovative AI applications, GenAI agents, and agentic foundations. In the 2026 tech landscape, the lines between traditional disciplines have blurred. We operate in small agile teams (e.g., ~6 members) powered by advanced coding agents (like Claude Code) to develop and ship solutions faster than ever before. We are looking for a highly skilled, hands-on Full-Stack AI Engineer / Data Scientist with a deep sense of ownership. Rather than being a narrowly specialized Data Scientist, ML Engineer, or MLOps Engineer, you will combine these skill sets. You will build agentic generative AI systems and classical ML systems end-to-end, taking accountability from concept and exploratory data analysis all the way to production releases and monitoring. Core Tech Stack & Scope This role involves working deeply with multimodal foundation models, advanced agentic workflows (including Agent-to-Agent/A2A communication), Model Context Protocol (MCP), Retrieval-Augmented Generation (RAG) pipelines, other emerging AI technologies, and MLOps subsystems. You will utilize cloud services (AWS and multicloud) alongside vector, graph, and traditional databases to develop scalable and robust AI solutions. Key Responsibilities Agentic & GenAI Application Development: Design and build advanced AI agentic systems, state machines, search-based conversational systems that solve complex business problems. Develop workflows leveraging Large Foundational Multimodal Models to process and reason across text, audio, and video modalities. Implement Model Context Protocol (MCP) servers/clients to standardize context exchange between agents, data sources, and external tools. Collaborate with AI Architects, Product Owners, and fellow developers to integrate AI capabilities into scalable, fair, and ethical end-user applications focusing on relevance and real-time performance. Full-Stack Engineering & Agentic SDLC: Leverage AI coding agents (e.g., Claude Code) daily to accelerate full-stack development cycles, maintaining high productivity across frontend, backend, and infrastructure tasks. Take end-to-end accountability for features: write high-quality, production-ready Python (and occasionally TypeScript) code with comprehensive testing and documentation. Manage the DevOps/MLOps lifecycle: containerize applications using Docker, configure CI/CD pipelines, and architect high-throughput, reliable cloud-native solutions on AWS/multicloud. Data Science, EDA & Strategy: Perform thorough Exploratory Data Analysis (EDA) to understand dataset characteristics, uncover patterns, detect biases, and identify data quality issues. Use statistical and visualization techniques to inform feature engineering, model selection, and optimization of foundation model-based applications. Design robust data pipelines to curate, preprocess, and structure diverse datasets that maximize LLM effectiveness and reduce bias. Algorithm Development & Optimization: Design, customize, optimize, and fine-tune LLM-based and traditional AI algorithms for specific use cases (e.g., text generation, summarization, AI agents, sequence modeling). Lead advanced prompt engineering strategies, utilizing zero-shot, few-shot and other paradigms to optimize model outputs without extensive fine-tuning. Implement pre-generative AI models (e.g., classification, clustering, regression) when they provide a more efficient, interpretable, or cost-effective solution compared to LLMs. Optimize model inference speed, reduce latency (cold start reduction, caching strategies), and manage resource usage across cloud architectures. Evaluation, Observability & Continuous Improvement: Conduct rigorous experimentation (A/B testing) and implement automatic metric pipelines (e.g. BLEU/ROUGE, RAG retrieval accuracy, human rating frameworks, etc.) to evaluate generative and multimodal systems. Implement real-time algorithms monitoring and observability practices, ensuring visibility into pipelines behavior, drift detection, and anomaly identification using telemetry tools. Translate complex technical results into clear, actionable insights for stakeholders, driving data-driven decision-making. Practical Skills Required Experience: 7+ years of experience in AI/ML engineering and Data Science, with exposure to generative AI, agents and classical ML. 3+ years of hands-on experience generative large language models and agents. Proven experience managing the end-to-end MLOps lifecycle and deploying models at scale. Proven experience leveraging AI coding agents within an agentic SDLC to accelerate feature delivery. Technical Skills: Programming: Advanced production-grade proficiency in Python. Additional proficiency in TypeScript is considered an advantage. AI/GenAI Frameworks: Deep expertise with LangChain or similar LLM orchestration frameworks, agentic system design, and state machine logic. Cloud Platforms: Practical experience designing cloud solutions on AWS (familiarity with multicloud is a plus), utilizing GenAI-specific services (e.g., Amazon Bedrock, SageMaker). Databases: Strong knowledge of vector databases (e.g., AWS OpenSearch), graph databases, Snowflake, SQL, NoSQL, and data lakes. Software Engineering Best Practices: Expertise in API design, CI/CD, Docker, Infrastructure as Code, and rigorous automated testing. Data Skills: Strong background in statistics, data manipulation, synthetic data generation, and feature engineering. Capabilities: Problem-Solving Skills: Excellent analytical skills to tackle complex engineering and statistical challenges. Ownership & Leadership: Deep sense of accountability, eager to define architectural patterns, and able to step into a Tech Lead role when necessary. Consulting: Abilities to work closely with stakeholders across the enterprise to consult on the technological approaches to their business problems. Ethics: Strong understanding of biases, fairness, hallucination mitigation, and responsible AI deployment. Qualifications The successful candidate should: Hold a B.Sc., B.Eng., M.Sc., M.Eng., Ph.D., or equivalent in Computer Science, Physics, Statistics, Mathematics, or a related field. Be deeply passionate about AI, staying continuously up-to-date with the latest developments in foundational models, agentic approaches, and classical ML. Be team-oriented, proactive, and collaborative, thriving in a fast-paced environment where roles are fluid and multidisciplinary. Be a great communicator, able to present complex findings clearly to both technical and non-technical audiences. Be able to communicate in English at the level of: C1+. Be ready to span their work times across the Central European Timezone on occasion, when necessary. Why Join Us? Innovative Environment: Work on cutting-edge agentic AI technologies in a highly visible Roche RDT function. Growth Opportunities: Advance your career by taking ownership of complex, high-impact end-to-end AI systems. Collaborative Culture: Be a part of a diverse and inclusive team that values technical excellence, cross-functional collaboration, and rapid innovation. Shift: CET time zone #Hyderabad2026 Who we are A healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact. Let’s build a healthier future, together. Roche is an Equal Opportunity Employer.

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters. The Position The Computational Sciences Center of Excellence (CS CoE) is a strategic, unified group whose mission is to harness the power of data and Artificial Intelligence (AI) to assist scientists in delivering innovative, life-changing medicines to patients worldwide. Within the CS CoE, the Data and Digital Catalyst (DDC) organization leads the modernization of our computational ecosystems. The Role & Opportunity As a Software Engineer (Principal / Senior Principal) within our Solutions team, you will design and develop the modernized, interconnected computational and data ecosystems foundational to our research. You will build robust, scalable systems that unlock the potential of diverse scientific data, directly accelerating drug discovery and development. Key Responsibilities Interactive Tooling & Platforms: Design and build interactive tools for small and large molecule drug discovery, seamlessly integrating molecular design workflows, data, computational algorithms, and AI models. Scalable Data Ecosystems: Build and enhance a modern, scalable ecosystem of applications and pipelines to acquire, capture, move, store, transform, link, share, and prepare scientific data for analysis. Architectural Leadership: Leverage modern architecture patterns—such as microservices, event-driven architectures, and cloud-native frameworks (AWS)—to improve data workflows across key scientific domains. AI & Agentic Engineering: Integrate diverse data sets to power Artificial Intelligence (AI), Machine Learning (ML), and Natural Language Search capabilities. Apply and champion modern AI-assisted and agentic coding practices within the engineering team. Stakeholder & Scientific Collaboration: Partner directly with computational and research scientists to translate complex scientific challenges into high-performing, user-friendly technology solutions. Technical Excellence & Mentorship: Provide technical leadership on ongoing strategic initiatives, define reusable architecture patterns, and mentor junior developers to uphold high engineering standards. Who You Are You are a passionate, collaborative full-stack engineering leader who thrives on solving complex scientific problems and driving software engineering best practices. Key Qualifications & Experience Domain Expertise: Ph.D. or equivalent experience in the life science domain building full-stack software solutions, with a strong preference for drug discovery or pharmaceutical environments. Full-Stack Engineering: Deep technical expertise across all stack layers, including backend (e.g., Python, Java) and modern frontend technologies (e.g., React, Vue). Data Engineering & Cloud Architecture: Extensive experience in modern data engineering (ETL/ELT, SQL/NoSQL, REST & GraphQL APIs) and cloud-native deployments (preferably AWS). SDLC & Engineering Excellence: Proven track record in establishing robust SDLC patterns, including versioning, automated testing, CI/CD, observability, and maintainable code bases. Agentic & AI-Assisted Development: Demonstrated proficiency in adopting AI-assisted and agentic coding workflows individually and across teams. Communication & Collaboration: Exceptional communication skills with the ability to articulate complex architectural concepts to technical and non-technical stakeholders alike. Apply if you are ready to shape the future of computational medicine! #ComputationCoE #tech4lifeComputationalSciences Who we are A healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact. Let’s build a healthier future, together. The statements herein are intended to describe the general nature and level of work being performed by employees, and are not to be construed as an exhaustive list of responsibilities, duties, and skills required of personnel so classified. Furthermore, they do not establish a contract for employment and are subject to change at the discretion of Roche Products Ltd. At Roche Products we believe diversity drives innovation and we are committed to building a diverse and flexible working environment. All qualified applicants will receive consideration for employment without regard to race, religion or belief, sex, gender reassignment, sexual orientation, marriage and civil partnership, pregnancy and maternity, disability or age. We recognise the importance of flexible working and will review all applicants’ requests with care. At Roche difference is valued and we are proud to be an equal opportunity employer where you are encouraged to bring your whole self to work.