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

ROLE 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 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

BASIC 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 (10+ years with Bachelors; 9+ with Masters; 7+ 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 customer's; always focused on patient safety first, establishes and maintains effective relationships with customers and gains their trust and respect.
• Acts Decisively – Makes timely and effective decisions by applying business and financial acumen. Acts with urgency and removes barriers that hinder productivity. Can be counted on to exceed goals successfully; is very bottom-line oriented; steadfastly pushes…