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

• 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.

Qualifications

• Candidate demonstrates a 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.
• 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.

Skills

• Anticipates Customer and Market Needs – Knowledge of industry trends and the ability to relate strategies to customer expectations while prioritizing patient safety.
• Acts Decisively – Makes timely decisions, removes barriers, and drives results.
• Builds Change-Agile Organizations – Develops teams capable of initiating and responding to change.
• Designs and leads teams that are flexible and adaptive.
• Strategic and Innovative Thinking – Develops creative approaches to business models and strategies.
• Grows Leaders – Coaches and develops talent; builds leadership bench strength.
• Role model of values and behaviors; demonstrates ability to drive transformational change, lead diverse stakeholders, and apply technology to life sciences.
• Demonstrates ability to drive transformational change, lead teams and engage diverse stakeholders, and understand applications of technology to the Life Science sector.

Education

• Degree in Data Sciences, Computer Sciences, Statistics, Clinical Informatics or similar, with advanced qualification in Data Science.

Additional Requirements

• Work Location Assignment: Must be able to work from the assigned Pfizer office 2-3 days per week, or as needed by the business.
• Eligible for Relocation Package: No