Lead statistical strategy for oncology market access and medical affairs across global teams.
Locations (2)
Stevenage, Hertfordshire, United Kingdom
Upper Providence, Pennsylvania, United States
Responsibilities
Provide strategic statistical leadership and scientific expertise to support global medical affairs and market access activities across the oncology portfolio.
Provide statistical input for the design, analysis, reporting, and interpretation of non-registrational studies.
Shape clinical development plans, HTA strategies, and commercial approaches.
Build and maintain strategic relationships with internal and external stakeholders to address business needs.
Develop and implement novel statistical methods to tackle complex challenges.
Requirements
Advanced degree (MSc or equivalent) in Statistics or Biostatistics
Nice to have: PhD or equivalent in Statistics or Biostatistics
Nice to have: Experience in medical affairs and market access
Lead data engineering efforts for mission‑driven projects, building and maintaining scalable data pipelines and dashboards in Palantir Foundry and Maven Smart Systems.
Compensation
The projected compensation range for this position is $77,500.00 to $176,000.00 (annualized USD).
Responsibilities
Design, build, and maintain data pipelines and platforms
Analyze and clean structured and unstructured data
Develop interactive dashboards and visualizations
Collaborate with cross‑functional teams and stakeholders
Ensure compliance with classified DoD environments
Develop and maintain programs to create analysis datasets, tables, and figures, ensuring accuracy and compliance with statistical standards and provide comprehensive statistical programming support for statisticians, clients, or business needs.
Responsibilities
Develop and maintain programs to create analysis datasets, tables, and figures, ensuring accuracy and compliance with statistical standards
Provide comprehensive statistical programming support for statisticians, clients, or business needs, including troubleshooting and resolving programming issues
Source, organize, and interpret complex data sets, utilizing advanced coding techniques to ensure data integrity and usability
Collaborate with statisticians and other stakeholders to understand project requirements and deliver high-quality statistical outputs
Evaluate existing programming processes, identify areas for improvement, and implement revisions to enhance productivity and efficiency
Requirements
Advanced degree in Statistics, Computer Science, or a related field
Nice to have: SAS Certified Advanced Programmer for SAS 9 or equivalent certification
Nice to have: Certification in data analysis or statistical programming
Lead large‑scale analyses of longitudinal metagenomic and metatranscriptomic datasets, develop scalable bioinformatics workflows, and provide scientific leadership for the Metagenome Program.
Compensation
This position has a budgeted salary range of $82,860 - $132,588 annually for job code S06.1.
Responsibilities
Lead large-scale analyses of longitudinal metagenomic datasets
Develop scientific directions and programmatic initiatives
Formulate and test ecological hypotheses
Design, benchmark, and implement scalable computational methods
Collaborate with data scientists and computational teams
Requirements
Ph.D. in Bioinformatics, Computational Biology, Microbiology, Molecular Biology, Biochemistry or related discipline
Statistical programmers work collaboratively with internal colleagues and external vendors to ensure the efficient, high-quality production of analysis datasets and statistical outputs for study reports and integrated summaries in support of Gilead’s regulatory, scientific and business objectives.
Locations (2)
Foster City, California, United States
Raleigh, North Carolina, United States
Compensation
Bay Area: $169,320.00 - $219,120.00.
Raleigh: $146,200.00 - $189,200.00.
Responsibilities
Works collaboratively with Clinical Development staff to meet project deliverables and timelines for statistical data analysis and reporting
Generates or oversees the production of programming deliverables (e.g., tables, figures, listings) for study reports and integrated summaries
Anticipates resource needs
Directs the design and/or coding of analysis files
Ensures programming and corresponding documentation is completed in a manner that is consistent with departmental procedures
Build a deep understanding of client business and digital performance, supporting the identification of actionable insights and making relevant recommendations to drive results.
Collect, organize, and analyze complex data sets from websites, apps, social, and media platforms using web analytics, survey tools, and mobile measurement technologies.
Develop tagging requirements, validate tracking, and conduct data quality assurance, partnering with Technology teams to document and resolve issues.
Contribute to measurement strategy and framework development, gradually building expertise in using analytics to inform optimization and strategic decisions.
Generate and interpret reports and dashboards in Excel, Tableau, or DW/BI systems, performing ongoing data quality checks and supporting multiple teams’ needs.
Requirements
Bachelor's degree in a quantitative or technical field
As a data scientist at Booz Allen, you’ll use analytical skills and data science knowledge to create real‑world impact by turning complex data sets into useful information to solve global challenges.
Compensation
The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD).
Responsibilities
Use analytical skills and data science knowledge to create real‑world impact
Work closely with clients to understand their questions and needs
Dig into data‑rich environments to find pieces of information puzzle
Develop algorithms and systems to turn disparate data points into objective answers
Translate complex technical analyses into clear, actionable insights for non‑technical audiences
Provide statistical leadership for clinical development and life‑cycle management strategies for assigned projects.
Responsibilities
Provide expertise/lead regulatory submission and product life‑cycle management strategy planning and implementation for assigned projects
Provide statistical leadership for design, analysis and reporting for clinical or other scientific research programs
Independently develop protocols and statistical analysis plans
Represent function/department on project team(s) to provide statistical input to compound/drug development and drive alignment with functional management
Partner with other functions to create development strategies for assigned projects
Metagenome Research ScientistLawrence Berkeley National Laboratory · Berkeley, US
Data ScientistBooz Allen Hamilton · Stafford, US