Medical Analytics, Care Gaps & Customer Segmentation Team, Senior Data Scientist

Role Summary

Plan and perform care gap advanced analytics and segment HCPs and KOLs using real world data sources as input.

Responsibilities

• Strategic support and communications
• 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.
• Planning and conducting medical analyses
• 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.

Qualifications

• Required: Demonstrated breadth of diverse leadership experiences and capabilities including the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact.
• Required: Degree in Data Sciences, or Computer Sciences, Statistics, Clinical Informatics or similar, with advanced qualification in Data Science.
• Required: Relevant certification &/or work experience in data engineering.
• Required: Experience (8+ years with Bachelors; 7+ with Masters; 5+ with PhD) in data sciences, notably in the healthcare sector.
• Required: Demonstrated ability to independently lead projects & support professional growth of colleagues.
• Required: Demonstrated effectiveness working in cross-functional business environment.
• Required: Proven influencing skills.
• Required: Strong interpersonal skills to quickly build rapport and credibility with Pfizer leaders and key external stakeholders.
• Required: Ability to partner cross culturally/regionally.
• Required: 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.
• Required: 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.

Skills

• Anticipates Customer and Market Needs
• Acts Decisively
• Builds Change-Agile Organizations
• Designs and leads teams that are flexible and adaptive
• Strategic and Innovative Thinking
• Grows Leaders
• Role model of Pfizer’s values and behaviors
• Drive transformational change; Lead teams and engage diverse stakeholders; Understand applications of technology to Life Science sector

Education

• Degree in Data Sciences, Computer Sciences, Statistics, Clinical Informatics or related field; advanced qualification in Data Science