Principal Data Scientist

Genentech•Daly City, CA

4d•Remote

About The Position

The Principal Data Scientist of the Technical Institute (TI) is a member of the Evidence for Access (E4A) unit in the US Public Affairs and Access department. He/she serves as the TI point of contact for E4A health economics outcomes research (HEOR) members to design and execute observational research using in-house real-world data (RWD). This role involves hands-on coding in analytics software. Economic modelling experience is a plus.

Requirements

Master’s Degree (health policy and management, economics, epidemiology, public policy, or health services research)
At least 6 years for Master’s degree of prior work experience in academic/research institute, consulting, managed care, government, and/or pharmaceutical industry.
Deep expertise in observational research methodology. Ability to recommend data sources and to design analyses that answer research questions.
Strong oral and writing communication skills to summarize and explain the findings to audiences who may not have technical background.
Strong hands-on research and programming (R, Python is a plus) experience of large claims databases and/or electronic health records data.
SQL and macro programming experience
Excellent knowledge in the US reimbursement coding system.
A strong track record of publication in peer-reviewed journals.
Experience in partnering with cross-functional stakeholders
Strong attention-to-detail.
Ability to work collaboratively in a dynamic, team-based environment
Ability to prioritize and adjust project plans appropriately
Demonstrated ability to learn and embrace new technologies, applications and solutions
Ability to mentor intern, fellow, and/or junior staff.

Nice To Haves

Doctoral Degree in above or other related disciplines.
A minimum of four years for Doctoral Degree candidates of prior work experience in academic/research institute, consulting, managed care, government, and/or pharmaceutical industry
Economic modelling experience is a plus.
Python is a plus

Responsibilities

Collaborate with E4A HEOR and health policy project owners to identify the appropriate in-house databases (e.g., claims/survey/electronic medical record) and design appropriate methodology to answer specific research questions and to address business needs.
Participate in E4A strategic planning and lead the execution of in-house RWD studies of E4A HEOR and health policy project owners.
Develop and/or oversee research protocol and statistical analysis plan. Recommend and implement appropriate analytical methodology (e.g., propensity score matching, regression analysis…etc) for RWD studies.
Mentor junior TI members to conduct the analyses, to review the results, and to communicate/publish findings. Lead and oversee the analytic execution to ensure the analyses are conducted with the highest accuracy and quality.
Develop knowledge in the covered disease area and identify new data source, method, and collaboration opportunities to address business needs.
Assist internal stakeholders to review protocol and to support the design of external observational research.
Establish a strong partnership with E4A and other stakeholders to ensure high impact from the in-house collaboration.
Prioritize resource and support based on the business impact of deliverables.
When assigned, represent E4A in internal and/or external cross-functional, strategic planning and/or other programs on innovative methodology or technology.
Support the Head of E4A TI on operational excellence. Assist with recruitment, ongoing coaching/mentoring, and training of junior staff.
Participate in all required Genentech and E4A training and development programs. Comply with all internal policies and external regulations.