Senior Data Scientist, Medical Analytics, Care Gaps, Customer Segmentation
Job Description:
• 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.
• 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:
• Comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life’s moments.
• 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.
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• 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.
• 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:
• Comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life’s moments.
• 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.
Apply tot his job
Apply To this Job