Real-World Data Scientist

Genentech

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
South San Francisco, CA
Salary
$126,200–$234,400 / yr
Employment
Full-time
Posted
3 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $171k
This role $180k
$113k $247k
below market most similar roles pay here above market

This role pays more than 50% of similar roles. Most pay $128,005–$214,937 — the blue band above. At the midpoint, this role pays about $180k versus about $171k 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 31 open roles on FindRole.

Listed pay typically runs $149,700–$278,100 across 21 roles with salary data.

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At a glance

TL;DR · Real-World Data Scientist

The Real-World Data (RWD) Scientist joins the Real-World & Clinical Data Strategy team to drive data excellence and evidence generation within Product Development. This role involves designing and executing observational studies to address clinical, operational, regulatory, or payer questions while identifying relevant real-world data sources and performing feasibility assessments. The scientist applies expertise in observational study methodology to interpret results and builds skills in novel data types, statistical methods, and advanced analytics. Key technical requirements include proficiency in statistical software such as R, SAS, and Python. The position operates within a framework of FAIR principles and data governance to support personalized healthcare and efficient drug development. Candidates must possess a Master’s or PhD in Epidemiology, Biostatistics, Health Economics, or a related field.

What you'll do

  • Design observational studies to address clinical, operational, regulatory, or payer questions.
  • Identify relevant real-world data sources and perform feasibility assessments.
  • Apply observational study methodology to interpret results of various studies.
  • Build expertise in novel data types, statistical methods, and advanced analytical methodologies.
  • Execute data analysis using statistical software such as R, SAS, or Python.
  • Ensure compliance and quality by working within established guidelines and data science processes.
  • Support knowledge sharing and continuous improvement in real-world data methodology and delivery.

What we're looking for

  • Hold a Master’s or PhD in Epidemiology, Biostatistics, Health Economics, or a related field.
  • Have a minimum of 2-4 years of experience working with healthcare or real-world data in applied research settings.
  • Have an advanced degree with 0-2 years of equivalent work experience.
  • Have experience using statistical software such as R, SAS, or Python for data analysis.
  • Possess excellent verbal and written communication skills to explain complex technical concepts clearly.
  • Exhibit strategic agility, problem-solving, and critical thinking skills.
  • Experience working in agile project teams or regulated environments (preferred).
  • Exposure to pharmacoepidemiology, HEOR, or immunology therapeutic areas (preferred).

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