Associate Director, CORDS Oncology Remote US R1603733 Posted ago

Position: Associate Director, CORDS Oncology Remote - United States - US R1603733 Posted 16 hours ago
## Associate Director, CORDS Oncology Remote - United States - USFind out how well you match with this job
** Working with Us
** Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it.

You’ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible.

Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more:  part of the Real-World Data Analytics team, you will get the opportunity to work with a collaborative team in an inclusive and supportive environment.

Associate Director, is an individual contributor responsible for performing non-interventional research projects in support of key customer groups including Global HEOR, PV&E, medical, regional and local HEOR, medical teams, 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 customers on presentation of results.  

In addition, this role will supply methodological expertise on non-interventional research methods to the Real-World Data Analytics (RWD Analytics) team and the broader BMS outcomes research community.
**** Responsibilities:
***** Conduct non-interventional research projects using retrospective data resources in support of
* RWD Analytics 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
* Execute research projects across the customer team
* Mentor staff in the development of functional and behavioral skills related to job performance Engage key RWD
* Analytics customers in research and market access to plan and execute value focused research projects
* Assess the environment and analytical tool set to ensure current needs are met and future needs are communicated by the RWD Analytics Data Development team
* Complete other duties as assigned by the Director, RWD Analytics
* Expected to possess the capacity to work collaboratively and effectively across all areas, ensuring seamless coordination and alignment of RWD Analytics team goals.
* Support and lead various projects that require diverse skills and expertise, promoting adaptability among team members
* Promote diversity and inclusion by actively engaging in related initiatives and advocating for inclusive practices within the RWD Analytics teams
**** Requirements
* **** Masters in biostatistics, epidemiology or related quantitative research field;
PhD preferred
* 5-7 years of experience in pharmaceutical outcomes research, pharmaco-epidemiology, health services research or related field,
* 4+ years of experience using large retrospective data sets in the conduct of epidemiologic and economic research on oncology/hematology
* 4+ years of experience with statistical programming using R/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
* Instant Health Data (IHD) or similar platform knowledge is a nice to have
* 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:…