Data Scientist, Health Economics & Real-World Evidence, Evidence for Access, USMA (POSITION IS BASED IN SSF, MAY CONSIDER REMOTE)

Job description

·  Job facts

The Data Scientist of Technical Institute (TI) is a member of the US Medical Affairs Evidence for Access (E4A) Medical Unit. He/she assists senior TI team members to design and execute retrospective observational research using in-house real-world data (RWD).

Key responsibilities include:

Support senior TI members to design and execute retrospective observational studies for Health Economics and Outcomes Research (HEOR) and Health Policy and System Research (HPSR) using in-house RWD

With guidance from senior TI members, analyze secondary data, including insurance claims, electronic medical record, patient survey, and disease registry.

Support the development of research protocol and statistical analysis plan. Recommend and implement appropriate analytical methodology (e.g., propensity score matching, regression analysis…etc) for RWD studies.

Design, develop, test, implement, validate, document, and maintain effective and efficient SAS or R programs for conducting, analyzing and reporting observational database studies.

Contribute to program library and web-based tool development and maintenance.

Provide quality check of TI peer's programs.

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

Operating Principles

I put the patient first, always.

I am obsessed with meeting customer needs.

I act on behalf of the whole company, not just my team.

I am inclusive.

I build a culture of trust.

I have a growth mindset.

I act with urgency.

I am accountable.

I radically simplify and prioritize for impact.

I follow the science.

I build our reputation.

Requirements

Master's Degree (health policy and management, economics, epidemiology, public policy, or health services research); Doctoral Degree in above or other related disciplines is preferred.

For candidate with a master's degree, a minimal of two years of prior work experience in academic/research institute, consulting, managed care, government, and/or pharmaceutical industry.

Experience in observational research study analysis. Working knowledge of relevant national healthcare systems, specifically with large observational and insurance claims databases, experienced with diagnostic, procedure, and pharmaceutical coding systems

SAS Base, SAS/STAT, SAS/GRAPH, SQL and macro programming experience

Programming experience in R is a plus

Strong analytical and problem-solving capabilities.Advanced statistics and health economics concepts are a plus.

Experience in publication in peer-reviewed journal is preferred

Strong attention-to-detail

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

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

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

Roche is an equal opportunity employer.
Information Technology, Information Technology > Digitization, Data and Insights

·  Who we are

A member of the Roche Group, Genentech has been at the forefront of the biotechnology industry for more than 40 years, using human genetic information to develop novel medicines for serious and life-threatening diseases. Genentech has multiple therapies on the market for cancer & other serious illnesses. Please take this opportunity to learn about Genentech where we believe that our employees are our most important asset & are dedicated to remaining a great place to work.

Roche is an equal opportunity employer and strictly prohibits unlawful discrimination based upon an individual's race, color, religion, gender, sexual orientation, gender identity/expression, national origin/ancestry, age, mental/physical disability, medical condition, marital status, veteran status, or any other characteristic protected by law.