Genentech
Senior Data Scientist (AI-assisted Clinical Development)
Boston · Senior
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odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
$18,022 more — $160,722 — moves this role to Level IV and 4 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $160,722 would place this position at wage Level IV. That figure is within the posted range, and I'd like to target it. This role classifies under "Data Scientists" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Data Scientists (15-2051) · Boston-Cambridge-Newton, MA-NH. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
Employer immigration record
from this employer's Department of Labor filings
Green-card follow-through: 77%
Files H-1B transfers
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- 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 contribute to the integration of models and algorithms into production applications, working closely with engineering and product teams
- You contribute to internal knowledge sharing, peer reviews, and community learning within the data science function
Responsibilities
- 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.
- 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 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
Requirements
- You have a Master's or PhD in Data Science, Computer Science, Statistics, Applied Mathematics, Bioinformatics, or a related field
- You are proficient with Python or R, including experience with ML libraries such as scikit-learn, XGBoost, TensorFlow, or PyTorch
- 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 capacity for independent thinking and ability to make decisions based upon sound principles
- 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
- Experience contributing to ML product pipelines and deployment workflows
- 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)
Compensation
- The expected salary range for this position based on the primary location of Boston, Massachusetts is $142,700 - $264,900 USD Annual.
Benefits
- 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
Equal opportunity
- equal opportunity employer.
- If you have a disability and need an accommodation in relation to the online
This listing is sourced directly from Genentech's careers page and normalized into a canonical job model.