Analyze and interpret large volumes of structured and unstructured real-world patient level healthcare data, including but not limited to administrative claims, EHR/EMR, disease registry, and public-use databases.
Develop machine learning algorithms and statistical/survival analysis models to extract meaningful insights and outcome research evidence.
Work closely with stakeholders in outcome research, medical affairs, statistical programming, and IT functions to provide data-driven insights and solutions.
Provide data science and real-world data expert inputs in internal and external collaborations.
Present research findings in 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.

Requirements

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.
Proficiency in Machine Learning and Statistical Programming using tools such as 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.
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, with a keen attention to detail, clarity, and precision in documentation and collaboration.
Ability to manage multiple analytical projects simultaneously, often across diverse therapeutic areas, with effective planning and organizational skills.

Benefits

medical, dental, vision healthcare and other insurance benefits (for employee and family)
retirement benefits, including 401(k)
paid holidays
vacation
compassionate and sick days

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills

Machine LearningStatistical ProgrammingData AnalysisModel DevelopmentSQLCohort IdentificationStatistical/Survival AnalysisData ManipulationResearch Protocol DevelopmentData Science

Soft skills

Interpersonal SkillsCommunication SkillsAttention to DetailOrganizational SkillsPlanning SkillsCollaboration SkillsLeadershipProblem SolvingCritical ThinkingTime Management

Certifications

Master’s DegreeDoctoral Degree (PhD, ScD, DrPH)