Senior Data Scientist, AI-assisted Clinical Development

Genentech

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
Boston, MA
Salary
$142,700–$264,900 / yr
Posted
62 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $156k
This role $204k
$88k most similar roles pay here $284k

This role pays more than 83% of similar roles. Most pay $126,800–$184,900 — the shaded band above. At the midpoint, this role pays about $204k versus about $156k for comparable roles.

Based on 240 similar postings.

Employer

About Genentech

Genentech is a leading research-driven company dedicated to discovering and developing, manufacturing, and commercializing medicines for people with serious and life-threatening diseases.

Genentech currently has 10 open roles on FindRole.

Listed pay typically runs $150,200–$279,000 across 9 roles with salary data.

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View all roles at Genentech

At a glance

TL;DR · Senior Data Scientist, AI-assisted Clinical Development

The Senior Data Scientist (AI-assisted Clinical Development) joins the Innovation Accelerator team to build and deploy AI/ML-powered digital solutions that transform medicine development. Working within a cross-functional environment alongside product managers, software engineers, and UX researchers, you will design, test, and scale statistical capabilities to extract insights from clinical, operational, and real-world data. Your daily responsibilities include developing model pipelines for evidence generation and trial design, conducting simulation studies, and translating scientific problems into automated data science workflows. You will utilize Python or R, along with libraries like scikit-learn, XGBoost, TensorFlow, or PyTorch. The role requires expertise in experimental design, Bayesian inference, and interpretable ML to solve complex challenges in regulated healthcare environments. Key technical skills include version control, testing frameworks, and potentially experience with Stan, PyMC, or generative AI tools for software development.

What does a Data Scientist earn?

Median $162025 from 276 postings across 61 companies.

See salary data

What you'll do

  • Apply advanced statistical and machine learning methods to develop tools for evidence generation, trial design, and decision support.
  • Translate complex scientific problems into automated data science workflows and productized solutions.
  • Build and maintain model development pipelines ensuring traceability, performance monitoring, and reproducibility.
  • Integrate models and algorithms into production applications in collaboration with engineering and product teams.
  • Design compliant and interpretable ML product architectures for regulated clinical development environments.
  • Create documentation templates to communicate modeling decisions, trade-offs, and performance summaries to stakeholders.
  • Act as a subject matter expert for simulation studies and comparative evaluations of analytical approaches.

What we're looking for

  • Master’s or PhD in Data Science, Computer Science, Statistics, Applied Mathematics, Bioinformatics, or a related field.
  • 3+ years of experience applying machine learning and statistical modeling to data-centric problems in research or product environments.
  • Proficiency in Python or R, including experience with libraries such as scikit-learn, XGBoost, TensorFlow, or PyTorch.
  • Experience in experimental design, simulation, and evaluation of model performance.
  • Practical experience with version control, testing frameworks, and collaborative software development.
  • Experience with RWD/RWE, decision analysis, clinical biomarkers, Bayesian inference, or interpretable ML.
  • Ability to translate complex scientific or business questions into model architectures and data pipelines.
  • Excellent communication skills to explain complex technical concepts to both scientific and non-scientific partners.

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