Senior Data Scientist, Medical Analytics, Care Gaps, Customer Segmentation
Pfizer
full-time
Posted on:
Location Type: Hybrid
Location: New York City • California, New York, Pennsylvania • 🇺🇸 United States
Visit company websiteSalary
💰 $156,600 - $261,000 per year
Job Level
Senior
Tech Stack
Google Cloud Platform
About the role
- Plan and perform care gap advanced analytics and segment HCPs and KOLs using real world data sources as input
- Support Care Gaps & Segmentation Team Leader in strategic and tactical planning with regards to medical analyses
- Collaborate with Care Gaps & Segmentation Team Leader to communicate generated insights
- Provide mentorship & coaching to Data Scientists & Data Engineering
- Leverage cross-team collaboration and asset-specific experience to develop and disseminate analytical best-practices in conducing care gap analyses and HCP segmentation
- Proactively identify future opportunities, such as data inputs, innovative analytical tools, and capability-building initiatives to enhance the impact and adoption of care gap and segmentation solutions
- Prepare and maintain datasets for on-going high-complexity analytical needs, in collaboration with data engineers, including flagging data issues & advising on required solutions
- Own the end-to-end process of integrated care gaps analyses, including strategic planning, identifying data input required (e.g., claims data for unmet need analysis), and effective visualization / insight generation for users
- Plan, generate and perform asset-specific care gap analyses to guide Medical Affairs activities using advanced techniques such as predictive models, machine learning, probabilistic causal models, and unsupervised algorithms
- Create asset-specific HCP segments, maps, and prioritizations, across multiple dimensions including care gaps, to guide channel mix/activation, content creation, and MSL activity in Anchor countries
Requirements
- Degree in Data Sciences, or Computer Sciences, Statistics, Clinical Informatics or similar, with advanced qualification in Data Science
- Relevant certification &/or work experience in data engineering
- Experience (8+ years with Bachelors; 7+ with Masters; 5+ with PHD) in data sciences, notably in the healthcare sector
- Demonstrated ability to independently lead projects & support professional growth of colleagues
- Demonstrated effectiveness working in cross-functional business environment
- Proven influencing skills
- Strong interpersonal skills to quickly build rapport and credibility with Pfizer leaders and key external stakeholders
- Ability to partner cross culturally/regionally
- Effective English verbal and written communication with flexibility to be clear, consistent, compliant, and appropriate for a variety of settings including scientific/technical, promotional, patient/consumer, regulatory, and media
- In depth understanding of the business of pharmaceutical medicine including clinical trial design, GCP and data interpretation, drug development, regulatory and promotional rules/guidance, legal and compliance, issue management and business development opportunity evaluations
Benefits
- 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution
- paid vacation
- holiday and personal days
- paid caregiver/parental and medical leave
- health benefits to include medical, prescription drug, dental and vision coverage
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
advanced analyticsdata engineeringpredictive modelsmachine learningprobabilistic causal modelsunsupervised algorithmsdata visualizationdata preparationcare gap analysisHCP segmentation
Soft skills
mentorshipcoachingcross-team collaborationstrategic planningproject leadershipinfluencing skillsinterpersonal skillscommunication skillsrapport buildingcross-cultural partnership
Certifications
advanced qualification in Data Sciencerelevant certification in data engineering