Associate Director Center of Observational Research and Data Sciences

Profile

The Associate Director, Research, is an individual contributor responsible for performing non-interventional research projects in support of key customer groups including Worldwide HEOR, PV&E, regional and local HEOR teams, WW Medical and others. Project work includes support of protocol development, identification of appropriate data sources, execution of protocol-related programming, analysis and summary of data and collaboration with customer on presentation of results. In addition, this role will supply methodological expertise on non-interventional research methods to the Center of Observational Research & Data Sciences (CORDS) team and the broader BMS outcomes research community, serve as a knowledge resource for the data development team, work with the Director, Research, to coordinate therapeutic area support and communication, and mentor Manager, Research staff.

Responsibilities:

Conduct non-interventional research projects using retrospective data resources in support of CORDS customer needs

Communicate project status and results effectively to all stakeholders

Engage with customer teams on protocol development, statistical analysis, interpretation and presentation of results and strategic direction of messaging and research needs.

Provide scientific leadership and guidance related to health and economic outcomes research using non-interventional methods

With guidance from Group Director, assist staff with execution of research projects across customer teams

Mentor staff in development of functional and behavioral skills related to job performance.

Engage key CORDS customers in research and market access needs assessment in order to plan and execute value-focused research projects

Assess information environment and analytical tool set to ensure current needs are met and future needs are communicated for assessment by CORDS Data Development team

Complete other duties as assigned by Director, CORDS Requirements

Masters in biostatistics, epidemiology or related quantitative research field; PhD preferred

5-7 years experience in pharmaceutical outcomes research, pharmaco-epidemiology, health services research or related field

4 years experience using large retrospective data sets in the conduct of epidemiologic and economic research

4 years experience with statistical programming using SAS

Experience with protocol development and execution for health and economic outcomes research projects

Proven strong writing and oral presentation skills

3 years project leadership experience preferred

An ideal candidate will have some experience with the following tools and data analysis methods:

Software: SAS, SQL, R, Java, Matlab, C , Python

Data analysis methods: predictive modeling, decision tree analysis, clustering, data mining, data processing, genetic algorithms, machine learning, active machine learning (optimal experimental design), Bayesian optimization

Company: Bristol-Myers Squibb

Req Number: R1513107_EN

Updated: 2020-01-08 00:00:00.000 UTC

Location: Princeton,New Jersey

Bristol Myers Squibb is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, pregnancy, citizenship, marital status, gender expression, genetic information, political affiliation, or any other characteristic protected by law.

Company info

Bristol-Myers Squibb Company
Website : http://www.bms.com