RWD Scientist

Overview

A healthier future. It’s what drives us to innovate. Roche Real-World & Clinical Data Strategy (RWCDS) drives data excellence and analytics to power decision-making and evidence-generation within Roche Product Development. RWCDS embeds FAIR principles, advances data governance, and enables data productization to ensure data is findable, usable, and a driver of scientific rigor, regulatory readiness, and AI-powered transformation. This role is based in the RWCDS team and collaborates with internal functions and external partners to shape a data ecosystem that supports personalized healthcare and efficient drug development.

Responsibilities

• The RWD Scientist plays a key role in generating insights from real-world data to inform clinical development, regulatory strategy, and healthcare decision-making.
• Design and execute observational studies, contribute to data strategy, and collaborate across teams within Development and the broader Pharma organization.
• Enable evidence generation across therapeutic areas and support the responsible and impactful use of real-world data at scale.
• Support use of real-world data by designing studies to address clinical, operational, regulatory, or payer questions.
• Assist in identifying relevant real-world data sources and performing feasibility assessments under guidance from senior data scientists.
• Apply expertise in observational study methodology to appropriately interpret results of studies.
• Build expertise in novel data types, statistical methods, and analytical methodology, which may include 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 RWD methodology and delivery.
• Continuously look for opportunities to broaden knowledge, capabilities and skill set.

Qualifications

• Master’s or PhD in Epidemiology, Biostatistics, Health Economics, or a related field.
• 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 (e.g., R, SAS, Python) for data analysis.
• Capacity for independent thinking and ability to make decisions based upon sound principles.
• Excellent strategic agility including problem-solving and critical thinking skills, with agility beyond the technical domain.
• Respect for cultural differences when interacting with colleagues in a global workplace.
• Excellent verbal and written communication skills, especially in presenting and writing, with the ability to explain complex technical concepts clearly.

Preferred Qualifications

• Experience working in agile project teams or regulated environments.
• Exposure to pharmacoepidemiology or HEOR.
• Experience in cardiovascular, renal, or metabolic disease therapeutic areas is a plus.
• Authorship of publications is a plus.

Location and Compensation

• This position is based in Boston, Massachusetts.
• Relocation assistance is not available.
• The expected salary range for this position based on the primary location of Boston, Massachusetts is $115,200.00 - $214,000.00 USD annually. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law.
• A discretionary annual bonus may be available based on individual and company performance.
• This position also qualifies for the benefits described in the linked benefits information.

About Genentech

Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence, in compliance with all federal, state, or local laws. If you have a disability and need an accommodation in relation to the online application process, please contact us by completing the Accommodations for Applicants form.