Assoc Principal Scientist; Assoc. Director Capability Analytics

Job Description

We are seeking a highly skilled and motivated Associate Principal Scientist/Associate Director with expertise in conducting outcome research using real‑world data. This role requires the ability to analyze complex data sets, develop algorithms, and create innovative solutions to enhance data‑driven decision‑making processes.

• Analyze and interpret large volumes of structured and unstructured real‑world patient‑level healthcare data, including administrative claims, EHR/EMR, disease registries, and public‑use databases.
• Develop machine‑learning algorithms and statistical/survival analysis models to extract meaningful insights and evidence for outcome research.
• Work closely with stakeholders in outcome research, medical affairs, statistical programming, and IT functions to provide data‑driven insights and solutions.
• Present research findings in internal and external scientific congress meetings.
• Lead Real‑World Evidence outcome research or advanced AI/machine‑learning research projects with minimal supervision.
• Stay current with the latest research and technologies in data science and machine learning, proactively seeking opportunities to improve existing processes and methodologies.

Provide real‑world data expertise in internal and external collaborations, engaging stakeholders to translate analytical findings into actionable insights.

Independently manage complex research projects, coordinating cross‑functional teams, timelines, and deliverables.

Actively pursue new knowledge in data science, machine learning, and emerging technologies to advance the organization’s research capabilities.

• Proficiency in machine learning and statistical programming using R, SAS, or Python.
• Advanced SQL skills for efficient data querying across complex datasets.
• Hands‑on experience with real‑world data sources and a proven track record in generating real‑world evidence.
• Expertise in cohort identification using ICD‑9‑CM, ICD‑10‑CM, SNOMED, LOINC, NDC, HCPCS, and CPT.
• Experience developing study protocols for non‑interventional and methodological research studies.
• Working knowledge of research project operations, including contracting and budget management.
• Strong interpersonal and communication skills with attention to detail and precision in documentation.
• Ability to manage multiple analytical projects simultaneously with effective planning.

• Master’s degree in Epidemiology, Biostatistics, Public Health, Data Science, or a related field with a minimum of 5 years of post‑graduate experience in real‑world healthcare data research.
• Doctoral degree (PhD, ScD, DrPH) with at least 2 years of post‑graduate experience in real‑world healthcare data research.

• Strong foundational knowledge of statistical and machine‑learning concepts applied in real‑world healthcare data contexts.
• Proven leadership of real‑world evidence studies within biomedical research or healthcare organizations.
• Experience conducting outcome studies in heart failure, PAH, COPD, IBD, and ophthalmology.
• Hands‑on experience with large language models such as BioBERT, MedBERT, or similar.
• Demonstrated ability to mentor and support junior team members.
• Co‑authorship of peer‑reviewed publications involving data science methodologies and/or participation in data‑focused competitions.

As an Equal Employment Opportunity Employer, we provide equal opportunities for 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 legally protected characteristics. For more information about personal rights under U.S. Equal Opportunity Employment laws, visit the EEOC website.

The salary range for this role is $ – $, based on education, experience, and other factors.

We offer a comprehensive package of benefits including medical, dental, vision and other insurance, 401(k), paid holidays, vacation, and sick days.

US and Puerto Rico Residents Only:
Applicants must be residents of the United States or Puerto Rico. Requests for accommodation during the application process are welcome.