RWD Scientist

Genentech • Boston, MA

5d • $115,200 - $214,000 • Onsite

About The Position

The RWD Scientist is part of Roche’s Real-World & Clinical Data Strategy (RWCDS) team, which advances data excellence and analytics to support decision-making and evidence generation in Product Development. The team develops data strategies for clinical, operational, and real-world data, embedding FAIR principles, advancing data governance, and enabling data productization to support scientific rigor, regulatory readiness, and AI-powered transformation.

The RWD Scientist generates insights from real-world data to inform clinical development, regulatory strategy, and healthcare decision-making. The role designs and executes observational studies, contributes to data strategy, and collaborates across Development and the broader Pharma organization. The position supports evidence generation across therapeutic areas and responsible, impactful use of real-world data at scale.

This position is based in Boston, Massachusetts. Relocation assistance is not available. The expected annual salary range is $115,200 to $214,000, with actual pay determined by experience, qualifications, location, and other job-related factors. A discretionary annual bonus may be available based on individual and company performance. The position qualifies for company benefits.

Requirements

• Master’s or PhD in Epidemiology, Biostatistics, Health Economics, or a related field.
• A minimum of 2–4 years of experience working with healthcare or real-world data in applied research settings, or an advanced degree with 0–2 years of equivalent work experience.
• Experience using statistical software such as R, SAS, or Python for data analysis.
• Capacity for independent thinking and ability to make decisions based on sound principles.
• Strong strategic agility, problem-solving, and critical-thinking skills extending beyond the technical domain.
• Respect for cultural differences when interacting with colleagues in a global workplace.
• Excellent verbal and written communication skills, particularly in presentation and writing, including the ability to explain complex technical concepts clearly.

Nice To Haves

• Experience working in agile project teams or regulated environments.
• Exposure to pharmacoepidemiology or health economics and outcomes research (HEOR).
• Experience in cardiovascular, renal, or metabolic disease therapeutic areas.
• Authorship of publications.

Responsibilities

• Design studies using real-world data to address clinical, operational, regulatory, or payer questions.
• Assist in identifying relevant real-world data sources and conducting feasibility assessments under guidance from senior data scientists.
• Apply observational study methodology to appropriately interpret study results.
• Build expertise in novel data types, statistical methods, and analytical methodology, potentially including advanced analytics, special trial designs and types, and data handling methods.
• Work within established guidelines and data science processes to ensure compliance and quality.
• Support knowledge sharing and continuous improvement in real-world data methodology and delivery.
• Continuously seek opportunities to broaden knowledge, capabilities, and skills.
• Collaborate across Development and the broader Pharma organization.

Benefits

• Company benefits are available, as detailed at the benefits link in the posting.
• A discretionary annual bonus may be available based on individual and company performance.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level