Associate Director, CORDS Oncology

This is a fully remote position, open to applicants in United States.

📋 Description

• Lead non-interventional research initiatives utilizing retrospective data resources to fulfill RWD Analytics customer requirements.

• Effectively communicate project progress and outcomes to all relevant stakeholders.

• Collaborate with customer teams on protocol formulation, statistical analysis, interpretation and presentation of findings, as well as strategic messaging and research necessities.

• Offer scientific leadership and direction concerning health and economic outcomes research employing non-interventional techniques.

• Implement research projects within the customer team.

• Guide staff in developing functional and behavioral competencies related to job performance.

• Collaborate with key RWD Analytics clients on research and market access to design and execute value-oriented research initiatives.

• Evaluate the current environment and analytical tools to ensure present requirements are satisfied and future needs are conveyed by the RWD Analytics Data Development team.

• Perform additional responsibilities as assigned by the Director of RWD Analytics.

⛳️ Requirements

• Master’s degree in biostatistics, epidemiology, or a related quantitative research field; PhD is preferred.

• 5-7 years of experience in pharmaceutical outcomes research, pharmaco-epidemiology, health services research, or a related area.

• Over 4 years of experience with large retrospective data sets in conducting epidemiologic and economic research in oncology/hematology.

• More than 4 years of experience in statistical programming using R/SAS.

• Experience in protocol development and execution for health and economic outcomes research projects.

• Demonstrated strong writing and oral presentation capabilities.

• Preferred project leadership experience of 3+ years.

• Familiarity with Instant Health Data (IHD) or similar platforms is a plus.

• Ideal candidates will have experience with the following tools and data analysis methodologies: 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.

🏝️ Benefits

• Health Coverage: Medical, pharmacy, dental, and vision care.

• Wellbeing Support: Programs such as BMS Well-Being Account, BMS Living Life Better, and Employee Assistance Programs (EAP).

• Financial Well-being and Protection: 401(k) plan, short- and long-term disability, life insurance, accident insurance, supplemental health insurance, business travel protection, personal liability protection, identity theft benefit, legal support, and survivor support.

• Work-life benefits include: Paid Time Off for US Exempt Employees: flexible time off (unlimited, with manager approval, 11 paid national holidays).

• Additional time off for employees may encompass unlimited paid sick time, up to 2 paid volunteer days annually, summer hours flexibility, and leaves of absence for medical, personal, parental, caregiver, bereavement, and military needs.