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Associate Principal Scientist (Associate Director), Real World Data Strategy & P

Merck, Boston, MA, United States


Position Overview In BARDS (Biostatistics and Research Decision Sciences), a distinguished department within our company’s renowned Research and Development division, quantitative scientists, in partnership with other subject matter experts, apply state‑of‑the‑art scientific methodologies and tools to enable the discovery, development, regulatory approval, manufacturing, and marketing of medical drugs and vaccines for the benefit of patients and global human health.

Job Description The BARDS Real‑World Evidence (RWE) Capabilities & Analytics team is looking for an Associate Director, Data Strategy & Partnerships with expertise in data strategy, advanced analytics, and partnership management to contribute to the development, exchange, and communication of evidence that demonstrates the value of our Company's pharmaceuticals and vaccines and provides our customers (payers, providers, patients, regulatory and policy makers) with transformative insights. The candidate will work in a multi‑faceted, fast‑paced, cross‑functional environment, interfacing externally with partners or data vendors and internally with Company leaders.

Primary Responsibilities

Horizon scanning, developing, and managing strategic partnerships to accelerate and generate insights that inform healthcare decisions and policy through novel studies, methods, and technologies.

Managing collaborations and effectively identifying and communicating data needs and capabilities with extended stakeholders.

Leading knowledge management and data innovation initiatives to increase access to and interoperability of data, data strategy, models, analytics, and evidence.

Conducting data analytic projects using standard and advanced analytic methods to meet business objectives.

Partnering effectively with Outcomes Research and Epidemiology teams to understand and address real‑world data gaps and opportunities.

Maintaining awareness and communication of scientific and technological developments within the fields of data science, informatics, and health technology assessment (HTA).

Advancing, presenting, and publishing novel methodologies in the fields of data science and informatics at international/national congresses and in scientific and technology journals.

Education Minimum Requirement

Doctoral Degree or Master’s Degree from a recognized school of medicine, public health, management, or programs in epidemiology, biostatistics, health policy, economics, informatics, or related quantitative discipline.

Required Experience and Skills

3+ years with PhD, or 5+ years with Master’s degree, hands‑on experience in the design and implementation of quantitative science methods in the healthcare industry.

Demonstrated excellence in interpersonal communications (written and oral) and consistent ability to execute on objectives.

Outstanding organizational and time‑management skills to manage multiple and competing priorities.

Entrepreneurial mind‑set and evidence of intellectual curiosity.

Preferred Experience and Skills

Doctoral degree.

Experience with epidemiology, outcomes research, real‑world evidence, value implementation, and/or health and medical informatics.

Experience critically evaluating data vendors and capabilities.

Experience applying artificial intelligence (AI), Generative AI, predictive analytics, and emerging technologies.

Experience in business development and strategic planning.

Compensation The salary range for this role is $142,400.00 – $224,100.00. The successful candidate will be eligible for annual bonus and long‑term incentive, if applicable. We offer a comprehensive package of benefits including medical, dental, vision, health‑care and other insurance benefits, retirement benefits, 401(k), paid holidays, vacation, and compassionate and sick days.

Work Arrangement Effective September 5, 2023, employees in office‑based positions in the U.S. will work a hybrid schedule with three total days on‑site per week, Monday‑Thursday, with Friday as a remote‑working day, unless business‑critical tasks require an on‑site presence. This model does not apply to field‑based, facility‑based, manufacturing‑based, or research‑based positions, positions covered by a collective‑bargaining agreement without hybrid work, or any position for which the Company has determined that job requirements cannot be met remotely.

Legal and Equality Statements As an Equal Employment Opportunity Employer, we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable legally protected characteristics. We comply with all affirmative action requirements for protected veterans and individuals with disabilities.

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