Job Description

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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