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BuiltIn High volume poster company 1703745101026

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

Reposted 18 Hours Ago
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Remote
Senior level
Remote
Senior level
The role involves planning and executing analytics related to care gaps and customer segmentation within the healthcare sector, utilizing advanced data techniques, collaborating across teams, and communicating insights effectively.
The summary above was generated by AI

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 Care Gaps & Customer Segmentation Leader in strategic and tactical planning with regards to medical analyses
  • Collaborate with team Care Gaps & Customer Segmentation Leader to communicate generated insights


Planning and conducting medical analyses

  • Prepare and maintain datasets for on-going analytical needs in collaboration with data engineers
  • Flag data issues to data engineers and advice on required resolution
  • Develop integrated care gaps analyses planning including data input required
  • 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
  • Highlight missing data inputs needed to conduct analytics (e.g., claims data for unmet need analysis)
  • Ensure visualization / insights generation from data is easily accessible and understandable for users


BASIC QUALFICATIONS

  • 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 (7+ years) in data sciences, notably in the healthcare sector
  • 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.
  • 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.


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 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


NON-STANDARD WORK SCHEDULE, TRAVEL OR ENVIRONMENT REQUIREMENTS

  • Travel as required, up to 40% of role


Other Job Details:
Last Date to Apply for Job: February 16th, 2024
Additional Location Information: New York, NY; Collegeville, PA; Cambridge, MA; Groton, CT; Bothell, WA, Lake Forest, IL; La Jolla, CA; Boulder, CO; US - remote; Montreal, Canada
Eligible for Relocation Package: No
#LI-PFE
At Pfizer, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work.
We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.
Chez Pfizer, nous accueillons la diversité et l'inclusion pour stimuler l'innovation et la croissance. Nous sommes déterminés à créer des équipes inclusives et un milieu de travail équitable pour que nos employés puissent exprimer leur vraie personnalité au travail.
Nous nous efforçons également d'offrir une expérience de candidature accessible à nos employés potentiels ayant des habiletés différentes. N'hésitez pas à nous faire savoir si vous avez besoin de mesures d'adaptation au cours du processus de recrutement.
Marketing and Market Research

Top Skills

Machine Learning
Predictive Models
Probabilistic Causal Models
Unsupervised Algorithms

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