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 efficienciesTranslate business requirements into tangible solution specifications and high quality, on time deliverablesWork with internal and external partners to propose new solutions for solving novel problemsLead cross functional projects to either implement existing solutions, or identify and create new solutions to solving problems in drug developmentSupport business process excellence by implementing, and creating new processes and pipelinesSupport and lead ongoing technology evaluation process and cross functional proof of concept projectsRepresent AQDS functions on cross-functional teamsEvangelize 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 field8 - 10 yrs. of relevant experience for Masters level, Ph.D. with 3-5 years of experiencePython or R fluencyAbility to lead AI/ML/data science pipeline including the various steps of data retrieval, cleaning, analysis/modeling, application of AI algorithms through to productionExpertise with standard supervised and unsupervised machine learning approachesAdvanced 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 desiredExperience 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 plusKnowledge 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 adoptionExpertise 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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