Senior Data Scientist - Economic Modelling

The Opportunity

The Senior Data Scientist of Technical Institute (TI) is a member of the Evidence for Access (E4A) unit in the US Policy, Evidence and Access Strategy department.

He / she works independently and assists senior TI team members to design and execute economic modelling studies; hand-on technical experience needed.

Hands-on retrospective observational research (real-world evidence) experience is a plus. As a subject matter expert, he / she may also review and design studies that are conducted by external vendors.

Key responsibilities include :

Independently design and execute simulation models (e.g., discrete event simulation) and other decision-analytic models (e.

g., decision trees, Markov, partitioned survival) to assess, amongst other things; costs, budget impact, cost-effectiveness, population events and policy impacts

Analyse secondary data (e.g. insurance claims, electronic medical record, patient survey, and disease registry)

Support senior TI members to design and execute economic modelling studies

Recommend and implement appropriate analytical methodologies

Develop and maintain study documentation, including; study plans, technical reports, training material and dissemination deliverables

Contribute to web-based tool development and maintenance

Provide quality check of TI peer’s models

Evaluate new research methods or technological advancements

When assigned, represent E4A in internal and / or external cross-functional, strategic planning and / or other programs on innovative methodology or technology

Participate in all required Genentech and E4A training and development programs. Comply with all internal policies and external regulations.

Who You Are :

PLEASE NOTE : If you believe you meet the minimum qualifications (marked as required) to do the work we have described here, and if you are excited about the work, we encourage you to apply even if you are not sure you meet every preferred qualification (marked as preferences).

We recognize that some candidates will consider applying for these roles only if in addition to the minimum qualifications, they also meet all preferred qualifications.

Others will apply simply if they believe they generally fit the profile of someone in this role. We aspire to represent and meet the expectations of the communities we serve, and are eager to have a diverse pool of candidates and challenge ourselves to find new and better ways of doing the work that we do. Thank you.

Required Qualifications :

Master’s Degree (health policy and management, economics, epidemiology, public policy, or health services research);

A minimum of 2 years (4 years for Master’s degree) of prior work experience in academic / research institute, consulting, managed care, government, and / or pharmaceutical industry

Strong hands-on experience in economic modelling

Programming experience in Excel or R.

Strong analytical and problem-solving capabilities.

Strong attention-to-detail

Strong oral and writing communication skills to summarise and explain the findings to audiences who may not have technical background

Ability to work collaboratively in a dynamic, team-based environment

Ability to work independently on all assigned tasks and projects.

Demonstrated ability to learn and embrace new technologies, applications and solutions

Preferred Qualifications :

Doctoral Degree in above or other related disciplines

Observational research study analysis experience is a plus

Python experience

Advanced statistics and health economics concepts are a plus

Experience in publication in peer-reviewed journal is preferred

This role is South San Francisco based, however may consider remote options

Relocation assistance is offered on this position

The expected salary range for this position based on the primary location of South San Francisco, California is $145,000 / yr to $269,400 / yr.

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 detailed at the link provided below.

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Genentech is an equal opportunity employer, and we embrace the increasingly diverse world around us. Genentech prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin or ancestry, age, disability, marital status and veteran status.