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3 Weeks ago

Manager Data Scientist

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Information Technology
Full-Time
Pfizer

Overview

Role Summary

  • Leverage technical AI/ML/data science to guide critical decision-making processes in support of scientific and drug development strategies.
  • Collaborate with key stakeholders, business partners, and research teams to understand business problem, and implement new methods and techniques to solve novel problems
  • Lead cross functional projects / PoCs

Role Responsibilities

  • Work closely with global and regional teams to apply AI/ML innovative solutions to business problems and deliver on improving efficiencies in areas of drug development, e.g. in drug discovery, clinical trials, operational efficiencies
  • Translate business requirements into tangible solution specifications and high quality, on time deliverables
  • Work with internal and external partners to propose new solutions for solving novel problems
  • Lead cross functional projects to either implement existing solutions, or identify and create new solutions to solving problems in drug development
  • Support business process excellence by implementing, and creating new processes and pipelines
  • Support and lead ongoing technology evaluation process and cross functional proof of concept projects
  • Represent AQDS functions on cross-functional teams
  • Evangelize the use of AI/ML techniques, both internally and externally

Basic Qualifications

  • Advanced degree (Masters, PhD) in Computer Science, Data Science, Computation Biology, Statistics, or related field
  • 8 - 10 yrs. of relevant experience for Masters level, Ph.D. with 3-5 years of experience
  • Python or R fluency
  • Ability to lead AI/ML/data science pipeline including the various steps of data retrieval, cleaning, analysis/modeling, application of AI algorithms through to production
  • Expertise with standard supervised and unsupervised machine learning approaches
  • Advanced verbal and written communication skills in relating to colleagues and associates both inside and outside the organization.
  • Ability to influence stakeholders when leading cross-functional projects

Preferred Qualifications

  • Ability to complement the team with new approaches such as Agentic AI, RAGs, LLMs, network analysis, knowledge graphs, graph neural networks, etc. would highly desired
  • Experience working in scalable computing would be a valuable supplement (AWS, Spark, Kubernetes, etc.)
  • Experience in data visualization, user interfaces (Flask, Shiny, etc.), data pipelines and MLOps are a plus
  • Knowledge of pharmaceutical area and chemistry/biology familiarity

Physical/Mental Requirements

  • Knowledge of state-of-the-art technologies and tools for AI/ML/Data Science/ Data Analytics/Statistics /; able to evaluate and leverage them into improved business processes for deployment and adoption
  • Expertise in some of the above mentioned tools/technologies

ORGANIZATIONAL RELATIONSHIPS

  • Works within DSA functional lines (Statistics, SDSA) and with functions in GPD

Work Location Assignment: Hybrid

Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.

Medical

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