Principal Scientist – Anatomic Pathologist
MSD
Associate Principal Scientist – Real World Evidence
MSD
full-time
Posted on:
Location Type: Hybrid
Location: New Jersey, Pennsylvania • 🇺🇸 United States
Visit company websiteSalary
💰 $139,600 - $219,700 per year
Job Level
Senior
Tech Stack
PythonSQL
About the role
- Analyze and interpret large volumes of structured and unstructured real-world patient level healthcare data
- 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
- Proactively seek opportunities to improve existing processes and methodologies
Requirements
- Proficiency in Machine Learning and Statistical Programming using tools such as R, SAS, or Python
- Advanced SQL skills for efficient data querying, manipulation, and transaction management across complex datasets
- Extensive hands-on experience with Real-World Data (RWD) sources including administrative claims, EHR/EMR systems, patient registries, and public-use databases
- 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
- 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
Benefits
- medical, dental, vision healthcare and other insurance benefits (for employee and family)
- retirement benefits, including 401(k)
- paid holidays, vacation, and 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 ProgrammingRSASPythonSQLReal-World Data (RWD)Cohort IdentificationStudy Protocol DevelopmentData Analysis
Soft skills
Interpersonal SkillsCommunication SkillsAttention to DetailClarityPrecisionPlanning SkillsOrganizational SkillsLeadershipCollaborationProblem-Solving
Certifications
Master’s Degree in EpidemiologyMaster’s Degree in BiostatisticsMaster’s Degree in Public HealthMaster’s Degree in Data ScienceDoctoral Degree (PhD, ScD, DrPH)
