Ro - Senior Clinical Data Analyst, Scientific Affairs
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Requirements
• B.S. in Healthcare, Biomedical Sciences or Related Field • 3–5 years of experience in scientific research, healthcare consulting, medical affairs, or similar setting • High comfort interpreting data and performing independent analyses (e.g. strong working knowledge of SQL) • Demonstrated experience with scientific writing (e.g., publications, abstracts, reports) • Strong project management and stakeholder communication skills • Detail-oriented and highly organized, with the ability to manage multiple priorities • Master’s degree (MSc) or equivalent experience in Biostatistics, Quantitative Methods, or related discipline • Working knowledge of statistics and research proposal and/or study design • Experience working in a startup or digital health environment • Familiarity with pharmaceutical, regulatory and legal considerations for marketing claims in healthcare • Exposure to peer-reviewed publication processes and conference submissions • We've Got You Covered: • Full medical, dental, and vision insurance + OneMedical membership • Healthcare and Dependent Care FSA • 401(k) with company match • Wellbeing + Learning & Growth reimbursements • Paid parental leave + Fertility benefits • Student loan refinancing • Virtual resources for mindfulness, counseling, and fitness • We welcome qualified candidates of all races, creeds, genders, and sexuality to apply. • The target base salary for this position ranges from $121,100 - $140,500, in addition to a competitive equity and benefits package (as applicable). When determining compensation, we analyze and carefully consider several factors, including location, job-related knowledge, skills and experience. These considerations may cause your compensation to vary. • Ro recognizes the power of in-person collaboration, while supporting the flexibility to work anywhere in the United States. For our Ro’ers in the tri-state (NY) area, you will join us at HQ on Tuesdays and Thursdays. For those outside of the tri-state area, you will be able to join in-person collaborations throughout the year (i.e., during team on-sites).
Responsibilities
• Analytical & Research Support (50%) • Bring analytical horsepower to Ro’s research, product, and thought leadership initiatives • Analyze internal data across patient outcomes, engagement, surveys, and program performance • Support pharma partnerships, conference materials, executive readouts, and internal strategy with data-driven insights • Write and optimize SQL queries on large clinical datasets in collaboration with data partners • Translate complex analyses into clear, compelling summaries and visuals for technical and non-technical audiences • Scientific Writing & Publication (30%) • Help define Ro’s external scientific voice through high-quality, publication-ready writing • Draft and refine peer-reviewed manuscripts, conference abstracts, white papers, and scientific reports • Conduct focused literature reviews to contextualize findings and support claims substantiation • Collaborate on publication strategy, narrative framing, and conference planning • Ensure scientific messaging is consistent, credible, and aligned across all external touchpoints • Research Operations & Claims Support (20%) • Own Ro’s research operations infrastructure and marketing claims pipeline end-to-end, ensuring every claim is scientifically sound, brand-aligned, and regulator-ready • Own research protocol submissions and revisions with multiple Institutional Review Boards (IRBs) • Lead research study oversight • Support the lead clinical reviewer as the single point of ownership for all claims requests, managing intake, prioritization, and execution • Partner closely with Marketing, Legal, Medical, and Product to assess claim accuracy, feasibility, and evidence strength • Maintain and evolve a centralized claims system to ensure clear documentation, traceability, and fast turnarounds • Identify and implement process improvements that streamline workflows without compromising integrity • Help define and operationalize evidence tiers to balance speed, risk, and scientific rigor across campaigns
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