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

Pfizer

2d • Hybrid

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 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. 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 (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 customers; 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 self and others for results. Builds Change-Agile Organizations – Develops teams that are facile at initiating and responding to change. Aligns teams and processes to support sustainable change. Designs and leads teams that are flexible and adaptive. Strategic and Innovating Thinking – Demonstrates insightful thinking by developing creative approaches to business models and strategies and creates an environment to encourage others to do the same. Grows Leaders – Actively coaches and develops talent. Builds leadership bench strength for Pfizer. Provides opportunities and experiences to develop skills, competencies, and business knowledge. Is a role model of Pfizer’s values and behaviors. Demonstrate ability to: Drive transformational change Lead teams and engage diverse stakeholders Understand the applications of technology to the Life Science sector

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 customers; 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 self and others for results.
• Builds Change-Agile Organizations – Develops teams that are facile at initiating and responding to change.
• Aligns teams and processes to support sustainable change.
• Designs and leads teams that are flexible and adaptive.
• Strategic and Innovating Thinking – Demonstrates insightful thinking by developing creative approaches to business models and strategies and creates an environment to encourage others to do the same.
• Grows Leaders – Actively coaches and develops talent.
• Builds leadership bench strength for Pfizer.
• Provides opportunities and experiences to develop skills, competencies, and business knowledge.
• Is a role model of Pfizer’s values and behaviors.
• Demonstrate ability to: Drive transformational change Lead teams and engage diverse stakeholders Understand the applications of technology to the Life Science sector

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.

Benefits

• participation in Pfizer’s Global Performance Plan with a bonus target of 20.0% of the base salary and eligibility to participate in our share based long term incentive program
• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees