Lead a portfolio of high-value biological, translational, and clinical questions across R&D, bridging AI, data, and biology to inform decisions.
Compensation
The annual base salary for this position ranges from $230,900.00 to $384,800.00. In addition, this position is eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 25.0% of the base salary and eligibility to participate in our share based long term incentive program.
Responsibilities
Lead a portfolio of high-value biological, translational, and clinical questions across R&D
Serve as a senior scientific bridge between therapeutic-area teams and the AI Core
Shape analytical and AI strategies, including study design, validation, interpretation, and recommendation
Interpret complex multimodal evidence and translate it into clear scientific recommendations
Influence scientific, development, and portfolio decisions through data and biological judgment
Requirements
PhD, MD, PharmD, or equivalent advanced degree in Computational Biology, Translational Biology, Bioinformatics, Genetics, Genomics, Systems Biology, Biomedical Sciences, Biostatistics, or a related discipline with 10+ years of relevant industry or research experience
Master's degree with 12+ years of relevant experience, or an equivalent record of scientific and translational impact
Support a National Security mission by designing, building, and maintaining data pipelines and ETL/ELT workflows for analytics, reporting, and mission operations.
Compensation
$140,000 -$170,000
Responsibilities
Design, build, test, and maintain data pipelines and ETL/ELT workflows for analytics, reporting, and mission operations
Develop and maintain API connectors and integrations that ingest data from internal platforms and external services
Create and improve data models and processing workflows to meet established performance, scale, and reliability needs
Implement data validation, quality checks, monitoring, and documentation for assigned data products and workflows
Work with mission stakeholders, analysts, and architects to clarify requirements and deliver maintainable technical solutions
Requirements
Bachelor’s or master’s degree in computer science, information systems, engineering, mathematics, or a related field
Analyst in Oliver Wyman’s Property & Casualty Actuarial Consulting Practice, supporting clients with loss reserving, pricing, predictive modeling, and more.
Responsibilities
Assist in a wide range of actuarial projects
Compile and verify client data
Setup spreadsheet analysis, templates, and exhibits
Prepare production exhibits and written reports to present findings
Attend client meetings as required
Requirements
BA/BS degree in Actuarial Science, Mathematics, Statistics, Economics, Finance, or related field
Senior Manager, Strategy and Enablement responsible for leadership guidance in customer journey development, overseeing alignment of customer experience marketing strategies, guiding voice of customer programs, and managing talent-related responsibilities.
Compensation
The pay range for this role is 170,800.00 - 251,900.00 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience.
Responsibilities
Provides leadership oversight on the development of customer journey, identification of touchpoints and definition of customer experience requirements across customer touchpoints.
Oversees the alignment of multiple customer experience marketing strategies and tactics to drive awareness, consideration, preference, and purchase intent for the organization offerings.
Provides guidance to ICs and managers to design and implement voice of customers programs, including surveys, interviews, and feedback mechanisms to capture valuable insights from customers.
Directs day-to-day operations and activities of the customer experience marketing team including management of staffing, workflow, and budgets to meet assigned sales, delivery, and productivity goals.
Guides the team to develop, deploy and monitor key performance indicators related to customer experience initiatives.
Requirements
Four-year or Graduate Degree in Marketing, Business Administration, or any other related discipline or commensurate work experience or demonstrated competence.
The Product Analytics Intern will support dashboard development, metric definition, and reporting to help product and operations leaders understand performance and customer behavior.
Compensation
Pay is competitive and based on a number of job-related factors, including skills and experience. The starting pay rate/range at time of hire for this position in the posted location is $25.00 / hour.
Responsibilities
Assist in building and maintaining dashboards and reports to track product performance and key metrics
Support definition and documentation of product success metrics in partnership with product managers and analysts
Analyze user behavior data to help identify trends, patterns, and areas for improvement
Help ensure data quality and consistency by supporting data validation and review processes
Contribute to ad-hoc analyses that support product and operational decision-making
Requirements
Bachelor’s degree in Data Science, Statistics, Computer Science, Analytics, Economics, or a related field
Nice to have: basic experience with SQL
Nice to have: Python
Nice to have: R
Nice to have: coursework or projects involving data analysis, statistics, or experimentation
Actuarial Associate / Sr Actuarial Associate in the Actuarial Development Program (ADP) focusing on data analytics, modeling, and regulatory reporting.
Compensation
Total Compensation Range: $79,200 - $170,700 (inclusive of Base and Bonus). Compensation is commensurate with number of exams passed.
Responsibilities
Acquire, aggregate, and develop data for experience studies
Assess client information to construct mortality, lapse, and pricing assumptions
Develop financial projections using modeling software
Develop, maintain, and run models for profit testing, reserving, and economic capital
Validate, format, and present results
Requirements
Bachelor's degree from an accredited college or university
Develop data-driven business insights and work with cross-functional stakeholders to identify opportunities and recommend prioritization of product, growth and optimization initiatives
Compensation
For San Francisco, CA-based roles: The base salary range for this role is USD $161,000 per year - USD $179,000 per year. You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp.
Responsibilities
Develop data-driven business insights and work with cross-functional stakeholders to identify opportunities and recommend prioritization of product, growth and optimization initiatives
Design and analyze experiments, communicating results that draw detailed and actionable conclusions
Analyze and contribute to development of optimization algos and ML models for use in mobility matching
Collaborate with cross-functional teams such as product, engineering and operations to drive system development end-to-end from conceptualization to final product
Requirements
Ph.D. in Statistics, Economics, Mathematics, Computer Science, Machine Learning, Operations Research or other quantitative fields
M.S. in Statistics, Economics, Mathematics, Computer Science, Machine Learning, Operations Research or other quantitative fields
Bachelor's degree in Statistics, Economics, Mathematics, Computer Science, Machine Learning, Operations Research or other quantitative fields
Lead computational biology projects from QC to insights, integrating genetics, single‑cell, and spatial data to identify drug targets.
Compensation
Salary range: $135,250 - $168,000
Responsibilities
Own projects from question to recommendation: quality control, analysis, interpretation, and presentation
Integrate population‑level genetic data such as GWAS summary statistics, eQTL resources, and fine‑mapping results with single‑cell and spatial data to connect genetic risk to specific cell types, cell states, and genes
Translate findings into clear recommendations for discovery and translational program teams, and present them to colleagues and senior management
Maintain and extend the team’s toolsets, genetics platform, and agentic workflows, evaluating and adopting new methods and tools as the field moves
Contribute to academic collaborations, conference presentations, and publications
Requirements
Ph.D. in computational biology, bioinformatics, human genetics, or a related field
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