Senior Clinical Scientist
$145k - $195kWhoop, Inc
At WHOOP, we're on a mission to unlock and inspire performance for life.
As a Senior Clinical Scientist, you will independently own assigned clinical studies that support WHOOP's clinical development, product innovation, and regulatory objectives. Operating with minimal oversight, you will translate clinical and product questions into rigorous research approaches, generate and interpret evidence from clinical, wearable, and real-world data, and communicate findings in a way that informs product decisions, regulatory strategy, and clinical evidence generation. This role requires someone who can lead their assigned workstreams, partner effectively across cross-functional teams. RESPONSIBILITIES:- Independently lead the design and development of clinical study protocols, evidence-generation plans, endpoints, study procedures, and statistical analysis approaches with minimal oversight. Ensure studies are scientifically rigorous and aligned with clinical, product, and regulatory objectives
- Support and oversee key aspects of study execution, including feasibility assessment, study startup, data collection, data review, monitoring oversight, and study closeout. Partner with Clinical Operations, Data Management, and external vendors or sites as needed to ensure high-quality execution
- Use statistical tools such as R, SAS, Python, Stata, or similar platforms to analyze clinical, wearable, and real-world datasets. Interpret results, identify trends and limitations, and generate actionable insights that support clinical, regulatory, and product decision-making
- Conduct comprehensive literature reviews to inform study design, endpoint selection, statistical methodologies, product claims, regulatory strategy, and scientific positioning. Integrate external scientific evidence with WHOOP data to support clinical development goals
- Ensure the accuracy, integrity, and quality of clinical data by implementing and reviewing appropriate quality control measures throughout the study lifecycle. Conduct quality checks on datasets, statistical outputs, tables, figures, listings, and scientific conclusions
- Communicate complex clinical and statistical findings in clear, actionable terms to clinical, product, data science, regulatory, and executive stakeholders. Translate technical analyses into meaningful business, product, and clinical insights
- Independently author and review clinical study reports, protocols, statistical analysis plans, literature reviews, clinical evidence summaries, regulatory submission sections, manuscripts, abstracts, and internal scientific memos. Ensure documentation is accurate, scientifically sound, and regulatory-compliant
- CWork closely with Product, Data Science, Engineering, Clinical Operations, Regulatory Affairs, Quality, and Legal teams to ensure clinical and scientific input is incorporated throughout the product lifecycle
- Contribute to evidence-generation strategies and clinical documentation for regulatory submissions, including 510(k), De Novo, CE Mark, clinical evaluation reports, clinical study reports, and responses to regulatory questions
- Lead or contribute to manuscripts, abstracts, posters, presentations, and other scientific communications for internal stakeholders, scientific conferences, peer-reviewed journals, and external collaborators
- Advanced degree preferred in Life Sciences, Clinical Research, Public Health, Epidemiology, Biostatistics, Biomedical Engineering, Medicine, or a related field. Master's, PhD, MD, PharmD, MPH, or equivalent experience strongly preferred
- 6-9 years of experience in clinical research, clinical science, data analysis, epidemiology, medical device, digital health, SaMD, pharmaceutical, biotech, or real-world evidence settings
- Demonstrated ability to independently design and lead clinical studies, including protocol development, endpoint selection, study methodology, statistical analysis planning, and clinical study report writing
- Strong understanding of FDA regulations, ICH-GCP, ISO 14155, clinical trial design, and evidence-generation requirements for regulated or health-related products
- Experience contributing to regulatory submissions or clinical evidence packages, such as 510(k), De Novo, CE Mark, clinical evaluation reports, clinical study reports, or related documentation
- Proficiency in statistical software such as R, SAS, Python, Stata, or similar tools
- Strong analytical and problem-solving skills, with the ability to interpret complex datasets and clearly explain findings, limitations, and implications
- Excellent written and verbal communication skills, including experience writing clinical study reports, regulatory documents, scientific manuscripts, abstracts, presentations, or internal research summaries
- Ability to independently manage complex work streams, prioritize effectively, and deliver high-quality work in a fast-paced environment with minimal oversight
- Nice to have: Experience working with clinical data, wearable data, real-world data, observational datasets, or large-scale health datasets
- Nice to have: Experience with software as a medical device, digital biomarkers, wearable sensors, remote patient monitoring, or consumer health technology
- Nice to have: Experience with Snowflake or other large-scale data platforms
- Nice to have: Familiarity with software validation, algorithm validation, and clinical performance evaluation for digital health or SaMD products
In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate's specific qualifications, expertise, and alignment with the role's requirements.
Vacancy posted 4 days ago
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