Senior Data Scientist (AI-assisted Clinical Development)

A healthier future. Its what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. Thats what makes us Roche.

This role is based in the Innovation Accelerator (IA) team the innovation engine and connective tissue for Design Data and Data Science innovation strategy within Product Development Data Sciences (PDD). We translate our long-term PDD vision into actionable strategy shaping and prioritizing innovative cross-functional use cases that span PDD PD and Pharma. As both integrators and incubators we explore prototype and help productize solutions to deliver impact in close partnership with internal Roche teams and external collaborators. With a mindset rooted in openness value creation and adaptability we navigate the innovation ecosystem to drive transformative impact and future readiness across the organization.

The Opportunity:

The IA Senior Data Scientist plays a pivotal role in building and deploying AI/ML-powered digital solutions that transform how we develop medicines. You will partner closely with product managers software engineers and UX researchers to design test and scale statistical capabilities that unlock actionable insights from clinical operational and real-world data. With a strong product-thinking mindset and deep technical fluency you will help create intelligent tools that are scalable ethical and built for impact in regulated healthcare environments.

• You apply advanced statistical and machine learning methods to support development of tools and software products for evidence generation trial design and decision support across R&D initiatives

• You act as the subject matter expert to inform software products for the conduct of simulation studies and comparative evaluations of analytical approaches for clinical and operational scenarios

• You collaborate with domain experts to translate scientific problems into data science workflows identifying patterns of workflows that can be automated and productized

• You build and maintain model development pipelines ensuring traceability performance monitoring and reproducibility

• You contribute to the integration of models and algorithms into production applications working closely with engineering and product teams

• You participate in the design of compliant and interpretable ML product architectures for clinical development environments

• You design documentation templates that communicate modeling decisions trade-offs and performance summaries to cross-functional stakeholders

• You contribute to internal knowledge sharing peer reviews and community learning within the data science function

Who you are:

• You have a Masters or PhD in Data Science Computer Science Statistics Applied Mathematics Bioinformatics or a related field

• You have 3 years of experience applying machine learning and statistical modeling to data-centric problems in research or product environments

• You are proficient with Python or R including experience with ML libraries such as scikit-learn XGBoost TensorFlow or PyTorch

• You have experience in experimental design simulation and evaluation of model performance

• You have the ability to translate scientific or business questions into model architectures and data pipelines

• You have practical experience with version control testing frameworks and collaborative software development

• You have experience working with one or more of the following: RWD/RWE decision analysis clinical biomarkers Bayesian inference or interpretable ML

• You have attention to detail and quality work with an ability to manage and prioritize multiple projects simultaneously including both long-term and short-term initiatives

• You have excellent collaboration skills including statistical consulting skills interpersonal skills to contribute effectively in cross-functional team settings ability to influence others without authority and ability to build strong collaborative relationships with scientific and non-scientific partners

• You have capacity for independent thinking and ability to make decisions based upon sound principles

• You exhibit excellent strategic agility including problem-solving and critical thinking skills and agility that extends beyond technical domain

• You demonstrate respect for cultural differences when interacting with colleagues in the global workplace

• You possess excellent verbal and written communication skills specifically in the areas of presentation and writing with the ability to explain complex technical concepts in clear language

Preferred:

• Experience contributing to ML product pipelines and deployment workflows

• Experience building evidence synthesis models (e.g. network meta-analysis) or constructing data-driven priors for drug development

• Experience with Bayesian computing or probabilistic programming languages (PPLs) including Stan PyMC brms or others

• Experience with collaborative coding practices and modern version control (e.g. git CI/CD)

• Experience with generative AI tooling for software development (e.g. agentic coding spec-driven development AI code reviews)

• Experience developing agentic AI tooling for data analysis or processes relevant to the pharmaceutical industry

• Knowledge of compliance-related standards (e.g. GxP HIPAA)

• Publication or public presentation experience in applied statistics or machine learning

• Experience working in agile cross-functional teams with scientific or product stakeholders

Location

• This position is based in Boston MA

• Relocation Assistance is not available

The expected salary range for this position based on the primary location of Boston Massachusetts is $142700 - $264900 USD Annual. Actual pay will be determined based on experience qualifications geographic location and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.

Benefits

Genentech is an equal opportunity employer. It is our policy and practice to employ promote and otherwise treat any and all employees and applicants on the basis of merit qualifications and competence. The companys policy prohibits unlawful discrimination including but not limited to discrimination on the basis of Protected Veteran status individuals with disabilities status and consistent with all federal state or local laws.

If you have a disability and need an accommodation in relation to the online application process please contact us by completing this form Accommodations for Applicants.