Design modern data architectures and pipelines, develop and enhance data solutions using Palantir Foundry and cloud-based tools, build analytics products, apply data engineering and statistical programming techniques, and collaborate with cross-functional teams to deliver scalable, efficient, and maintainable data solutions.
Compensation
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $113,000 to $188,400. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
Responsibilities
Design modern data architectures and pipelines for enterprise transformation initiatives
Develop and enhance data solutions using Palantir Foundry and cloud-based tools
Build analytics products that support mission-focused business and technology outcomes
Apply data engineering, data manipulation, and statistical programming techniques to enterprise datasets
Collaborate with cross-functional teams to deliver scalable, efficient, and maintainable data solutions
Requirements
Bachelor’s degree
Nice to have: pipeline and application development within Palantir Foundry
Nice to have: professional services or federal consulting
Biostatistician at the Research Scientist rank collaborating with faculty on study design, data management, programming, analysis, visualization and dissemination.
Compensation
The starting salary range (or hiring range) for this position has been established as HIRING RANGE: $78,000 to $90,000
Responsibilities
Collaborate on research design
Data management and integration
Advanced programming and analysis
Visualization and dissemination
Collaboration and mentorship
Requirements
Graduate level training in Biostatistics, Statistics, Data Science or related area
Nice to have: Experience as a biostatistician or data analyst on multiple projects
Nice to have: Proficiency in several statistical programming software languages
Nice to have: Experience with Type 2 Diabetes research
Nice to have: Experience collaborating in large NIH/NIDDK consortia
Lead development and implementation of advanced statistical methodologies, drive client consultations, and contribute to new business development in a performance media agency.
Compensation
The projected compensation range for this position is $90,000 to $130,000.
Responsibilities
Develop and champion novel statistical methodologies and analytical frameworks tailored to client needs
Lead client consultations as the primary data science expert, translating complex statistical concepts into strategic business recommendations
Drive new business development by contributing to pitches, proposals, and thought leadership initiatives
Establish best practices for statistical rigor, model validation, and analytical quality across the organization
Proactively identify opportunities to apply advanced analytics to solve emerging business challenges
Requirements
Bachelor's or Master's degree in Statistics, Mathematics, Economics, Operations Research, Computer Science, or related quantitative field
Provide statistical support for assigned clinical studies, including study design, analysis, reporting, and interpretation of clinical trial data.
Compensation
Target Base Pay Range:
$116,000.00 - $151,000.00
Responsibilities
Provide statistical support for assigned clinical studies under the guidance of the Biometrics/Biostatistics Team Lead or other senior statistical leadership.
Collaborate with clinical, data management, statistical programming, and other cross-functional team members to support study activities.
Contribute statistical input to study design, protocol development, endpoint definition, and analysis planning.
Prepare and review assigned statistical analysis plans, case report forms, clinical database specifications, validation plans, table, figure, and listing shells, analysis dataset specifications, and related documentation.
Perform statistical analyses, simulations, and ad hoc analyses as needed.
Requirements
Master's degree in Statistics, Biostatistics, or related field
Ph.D. preferred
Nice to have: Ph.D. in Statistics or Biostatistics
Nice to have: Experience in biopharmaceutical industry
Nice to have: Experience with contract research organizations
Lead and execute complex data analyses, build data pipelines, ensure data quality, manage projects, supervise staff, and translate data into actionable insights for health policy research.
Locations (2)
Los Angeles, California, United States
Washington, District of Columbia, United States
Compensation
The annual base salary range for this position is $105,664.88 - $122,141.8.
Responsibilities
Lead and execute complex data analyses using large-scale health care data
Design and build data pipelines, research tools, and analytic infrastructure
Ensure data quality and reproducibility through rigorous quality assurance processes
Manage projects, including timelines, deliverables, and coordination with cross-functional team members
Supervise and mentor junior staff
Requirements
MA/MS in statistics, data science, economics, applied mathematics, or related quantitative field (or equivalent combined education and work experience)
Lead Clinical Data Management and Statistical Programming functions within Clinical Affairs, overseeing data acquisition, analysis, and delivery for global regulatory submissions.
Compensation
The annualized base salary range for this hourly role is $124,200 to $206,800 and is bonus eligible.
Responsibilities
Provide strategic and operational leadership for Clinical Data Management and Statistical Programming
Recruit, develop, and retain high-performing teams
Establish goals, performance metrics, and operating processes
Manage budgets, priorities, and resources across multiple studies
Partner with senior leadership and cross-functional stakeholders
Requirements
Bachelor's degree in Life Sciences, Computer Science, Statistics, Data Science, Information Systems
Master's degree in related field
Nice to have: Experience with AI-enabled tools in clinical data management
Nice to have: Experience in diagnostics, in vitro diagnostics, medical devices
Nice to have: Experience leading selection, implementation, validation of clinical technology platforms
The Senior Manager, C&SP Methodology is a highly experienced technical and team leader with an in-depth understanding of clinical and/or statistical programming processes, tools/systems and strong project and team leadership skills. This position is accountable for influencing, shaping and developing technical and process strategy and solutions that deliver increased quality, efficiency, and innovation solutions within the functional area.
Locations (3)
Raritan, New Jersey, United States
Spring House, Pennsylvania, United States
Titusville, New Jersey, United States
Compensation
The anticipated base range for this position is $140,000.00 - $241,500.00
Responsibilities
Providing strategic technical leadership and expertise in roles that directly support Clinical and Statistical Programming Therapeutic Area / assigned group, research and innovation in emerging spaces, including AI, and/or standard tools development.
Lead and manage statistical programming projects for clinical studies, ensuring quality deliverables and process improvement.
Compensation
The annual base salary range for the Senior Manager, Statistical Programming is from :$138,800-$182,200. Under current guidelines, this position is eligible to participate in : Eisai Inc. Annual Incentive Plan.
Responsibilities
Manage statistical programming projects
Develop and review SAS code and datasets
Create summary tables, graphs, and listings
Review statistical analysis plans
Collaborate with Biostatistics, Data Management, Clinical Ops
Strategic partnering with leads, user community and departmental/external stakeholders to identify innovation, automation and continuous improvement opportunities.
Proposes, evaluates and develops solutions and strategies that drive competitive advantage.
Applying a strong customer focus to evaluate stakeholder needs/requirements, thinking broadly end-to-end and deliver relevant solutions, in alignment with departmental technical strategies.
Leading complex departmental innovation and process improvement projects.
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