Pfizer

Manager Data Scientist

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Mumbai, Maharashtra

Hybrid

Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical

We’re in relentless pursuit of breakthroughs that change patients’ lives.

The Role

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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The Company

HQ: New York, NY

121,990 Employees

Year Founded: 1848

What We Do

Our purpose ensures that patients remain at the center of all we do. We live our purpose by sourcing the best science in the world; partnering with others in the healthcare system to improve access to our medicines; using digital technologies to enhance our drug discovery and development, as well as patient outcomes; and leading the conversation to advocate for pro-innovation/pro-patient policies.

Why Work With Us

We are the inventors, the problem solvers, the big thinkers — those who surmount any hurdle to deliver breakthrough medicines to the people who are counting on them the most.