About the position
ROLE SUMMARY Plan and perform care gap advanced analytics and segment HCPs and KOLs using real world data sources as input ROLE RESPONSIBILITIES Strategic support and communications Support team Product Manager in strategic and tactical planning with regards to medical analyses Collaborate with team Product manager 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 solution 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
Responsibilities
- Strategic support and communications Support team Product Manager in strategic and tactical planning with regards to medical analyses
- Collaborate with team Product manager 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 solution
- 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
- 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.
- Technical: Anticipates Customer and Market Needs – Knows the industry; knowledgeable in current and possible future trends, knows the competition; is aware of how strategies and tactics work in the marketplace.
- Is dedicated to meeting the expectations and requirements of internal and external c