Genentech · 2 months ago
Medical Data & Analytics Engineer
San Francisco, CA
Full-time
Onsite
Senior Level
$143K/yr - $266K/yr
6+ years expGenentech is dedicated to innovating healthcare solutions and ensuring access to necessary medical care. The Medical Data & Analytics Engineer will play a vital role in leveraging clinical and real-world data to enhance evidence generation and decision-making, collaborating with various teams to develop medical insights for trial design and operational strategy.
BiotechnologyLife ScienceManufacturing
Responsibilities
Assess medical data sources (e.g., clinical trial, RWD, scientific literature) required for medical insights related to clinical trials and evidence planning, and lead the acquisition, transformation, and integration of new data sources into enterprise platforms (when needed)
Collaborate with data scientists, statisticians, and clinicians to provide analytic-ready datasets for clinical, RWE, and scientific literature, fostering strong partnerships with Medical, Clinical & RWD functions globally
Define and evolve the Medical Operations data strategy to support medical affairs in partnership with other EG and E4A teams. Represent USM on global strategic initiatives related to data foundation, data capabilities, and analytics
Translate scientific and business questions into medical data requirements, tools, and data platforms needed to deliver medical insights for trial design, operational strategy, and evidence planning
Influence R&D enterprise data governance, stewardship, and policies, providing thought leadership on emerging trends including AI/ML applications, data linkage, digital health integration, and decentralized trials
Act as an innovator and connector by leveraging emerging technologies and novel data sources to advance evidence generation, introducing modern engineering and analytics practices, and bridging scientific, technical, and business perspectives to unlock multimodal data value, while also serving as a change agent for multimodal data adoption and cultural/operational transformation
Qualification
Required
Bachelor's or Master's degree in Computer Science, Biomedical Informatics, Data Engineering, or a related field (PhD is a plus for advanced biomedical applications)
6+ years of experience in data engineering or analytics engineering, with exposure to healthcare or life sciences
Proficiency in SQL, Python, Spark, and workflow orchestration tools
Hands-on experience with cloud platforms (AWS, Azure, or GCP)
Familiarity with healthcare and biomedical data (EHR, claims, registries, genomics, imaging, digital, PROs) and relevant standards (OMOP, FHIR, CDISC, HL7, DICOM)
Experience building analytics-ready data assets and supporting visualization or statistical modeling workflows
Benefits
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.
Company
Genentech
Genentech is a biotechnology research company that specializes in genetic testing and personalized medicines.
10001+ employees
H1B Sponsorship
Genentech has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (167)
2024 (148)
2023 (150)
2022 (178)
2021 (121)
2020 (158)
Funding
Current Stage
Public CompanyTotal Funding
unknown2009-03-26Acquired
1999-07-20IPO
1976-01-01Series Unknown
Leadership Team
Ashley Magargee
Chief Executive Officer
Michael Laird
Vice President, Global MSAT Drug Substance Biologics Technology and Commercial Products Support
Recent News
2026-01-16
2026-01-07
Company data provided by crunchbase