Assoc Principal Scientist; Assoc. Director Capability Analytics

Assoc Principal Scientist (Assoc. Director) Real World Evidence Capability Analytics

Posted 2 days ago. Join the first 25 applicants.

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 our 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 outcome research evidence.
• Collaborate closely with stakeholders in outcome research, medical affairs, statistical programming, and IT to provide data‑driven insights and solutions; present research findings at internal and external scientific congress meetings.
• Independently lead real‑world evidence outcome research or advanced AI/machine learning research projects with minimum supervision.
• Stay current with the latest research and technologies in data science and machine learning; proactively seek opportunities to improve existing processes and methodologies.

• Proficiency in Machine Learning and Statistical Programming using R, SAS, or Python, with a strong foundation in model development and data analysis.
• Advanced SQL skills for efficient data querying, manipulation, and transaction management across complex datasets.
• Extensive hands‑on experience with real‑world data sources (claims, EHR/EMR, registries, public databases) and a proven track record of generating real‑world evidence.
• Expertise in cohort identification using clinical and therapeutic classification codes such as ICD‑9‑CM, ICD‑10‑CM, SNOMED, LOINC, NDC, HCPCS, and CPT.
• Experience in developing study protocols for non‑interventional and methodological research studies, including observational and retrospective designs.
• Working knowledge of research project operations, including contracting, procurement, and budget management processes.
• Strong interpersonal and communication skills; attention to detail, clarity, and precision in documentation and collaboration.
• Ability to manage multiple analytical projects simultaneously across diverse therapeutic areas with effective planning and organizational skills.

• Master’s degree in a relevant field (e.g., Epidemiology, Biostatistics, Public Health, Data Science) with a minimum of 5 years of post‑graduate experience conducting research using real‑world healthcare data.
• Doctoral degree (PhD, ScD, DrPH) in a related discipline 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 experience leading real‑world evidence studies within biomedical research or healthcare organizations.
• Experience implementing outcome research studies in disease areas such as heart failure, PAH, COPD, IBD, and ophthalmology.
• Hands‑on experience applying large language models (LLMs) such as BioBERT, MedBERT, or similar to clinical data for research purposes.
• Demonstrated ability to mentor and support junior team members, fostering growth and collaboration within research teams.
• Co‑authorship of peer‑reviewed publications involving data science methodologies, and/or active participation in data‑focused competitions such as datathons, hackathons, or Kaggle challenges.

As an Equal Employment Opportunity Employer, we provide equal opportunities for all employees and applicants 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. We comply with all affirmative…