Lead the clinical and economic evidence strategy to showcase how Hello Heart products help members understand and improve their heart health through AI, hardware, and behavioral science.
Compensation
The US base salary range for this full-time position is $180,000.00 to $197,000.00.
Responsibilities
Collaborate with leadership and cross-functional partners to prioritize clinical and economic research priorities.
Provide peer review and mentorship to other researchers on the team, developing their analytical and publication skills over time.
Generate research questions and develop analytical plans for key publication and evidence-generation priorities.
Develop partnerships and work alongside leading research institutes.
Build Hello Heart's research and evidence strategy to support future FDA-regulated capabilities, accounting for regulatory requirements and timelines.
Requirements
Graduate degree in a clinical field, epidemiology, biostatistics, public health, or a related field, such as Master of Science (MS), Master of Public Health (MPH), Doctor of Philosophy (PhD), or Doctor of Pharmacy (PharmD)
Support the development of advanced analytical solutions that identify aberrant provider billing and utilization patterns in Medicare and Medicaid programs.
Compensation
We offer competitive compensation with opportunities for bonuses, employer paid health care, training and development funds, and 401k match.
Responsibilities
Gather and define data requirements and resolve data-related challenges in collaboration with client and project teams.
Develop and refine data models to identify vulnerabilities, anomalous activity, and potential risks within Medicare and Medicaid programs.
Analyze provider billing and utilization patterns using large healthcare claims datasets.
Consult and advise on data analysis, statistical modeling, and analytical techniques.
Research and evaluate new modeling methods, tools, market trends, and proven approaches.
Requirements
Bachelor’s or Master’s degree in Data Analytics, Statistics, Health Policy, Public Health, or a related field
Lead the Biostatistics function across oncology clinical development programs, providing strategic leadership and operational oversight.
Locations (2)
South San Francisco, California, United States
United States
Compensation
The salary range for this position in South San Francisco is $300,000-$330,000. The position may be filled at either the Sr. Director or Executive Director level, depending on the candidate’s qualifications. For remote-based candidates, the salary range will be based on the applicable geographic market, which varies state to state and is typically lower than the San Francisco Bay Area.
Responsibilities
Provide strategic statistical leadership across early- and late-stage oncology clinical development programs
Lead the Biostatistics function, setting priorities, managing resources, and ensuring high-quality, timely execution of statistical activities
Partner with Clinical Development, Regulatory Affairs, and other cross-functional leaders to develop statistical strategies
Lead statistical strategy and design for Phase 1–3 oncology trials
Evaluate and recommend innovative clinical trial designs
Lead and deliver Battery Safety and Abuse testing in relation to product validation.
Compensation
Lucid offers a comprehensive and competitive benefits package including medical, dental, and vision insurance; life and disability coverage; paid time off; paid holidays, paid sick leave; and a 401(k) retirement plan. Hourly/non-exempt employees accrue up to 120 hours paid time off, and salaried/exempt employee accrue up to 160 hours paid time off. Eligible employees may also participate in Lucid’s equity program and/or a discretionary annual cash incentive program.
Responsibilities
Provide technical leadership and deliver all elements of Battery Design Validation, including sub-component, module and pack level testing (environmental, electrical, mechanical).
Plan and co-ordinate internal and external testing activities in line with program milestones.
Lead improvement in procedures and test methods to ensure highest levels of safety and efficiency are met.
Work closely with multiple cross-functional teams and external suppliers.
Analyze test data and provide critical feedback into product and performance development.
The Research Scientist will lead the conceptualization, development, implementation, and evaluation of research projects and studies, including oversight of operational procedures and project logistics.
Compensation
Compensation is commensurate with the candidate’s qualifications.
Responsibilities
Lead conceptualization, development, implementation, and evaluation of research projects
Design and manage operational procedures for research projects including IRB protocols, project logistics, and field work
Coordinate pre- and post-award management with internal and external investigators
Manage and oversee use of appropriate research methods, techniques, and tools
Provide support on advanced statistical research and modeling
Requirements
Ph.D. in related field (e.g., nutrition, public health, epidemiology) or equivalent combination of education and experience
Nice to have: Master’s degree or Doctorate in Nursing
Develops, interprets, and implements statistical, financial, and accounting concepts and quantitative techniques to support credit risk modeling, financial forecasting, model monitoring, and reporting.
Responsibilities
Apply statistical theory, econometric methods, and quantitative techniques to collect, organize, validate, interpret, and summarize numerical and text data to provide usable information.
Interpret quantitative data and design statistical models for researching problems or questions.
Perform data analysis using statistical programming software such as Python, R, or SAS, with emphasis on accuracy, reproducibility, data quality, and effective analytical controls.
Analyze and interpret data to identify trends, patterns, anomalies, and emerging risks that may affect performance, model results, or estimates.
Develop and maintain analytical programs, reusable scripts, data validation routines, and automated workflows that improve the efficiency and consistency of quantitative processes.
Requirements
Bachelor's degree in Statistics, Mathematics, Mathematics, or Economics with a strong quantitative concentration, Data Science, or another closely related quantitative discipline.
Master's degree in Statistics, Mathematics, Economics, or Data Science
Nice to have: generative AI
Nice to have: large language models
Nice to have: AI agents
Skills
Palantir Engineer - Analytics and Insights Engineer III
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
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