
Senior Clinical Data Analyst, Scientific Affairs
Ro
full-time
Posted on:
Location Type: Hybrid
Location: New York City • New York • United States
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Salary
💰 $121,100 - $140,500 per year
Job Level
Tech Stack
About the role
- 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
- 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
- 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
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 (preferred)
- Working knowledge of statistics and research proposal and/or study design (preferred)
- Experience working in a startup or digital health environment (preferred)
- Familiarity with pharmaceutical, regulatory and legal considerations for marketing claims in healthcare (preferred)
- Exposure to peer-reviewed publication processes and conference submissions (preferred)
Benefits
- Full medical, dental, and vision insurance + OneMedical membership
- Healthcare and Dependent Care FSA
- 401(k) with company match
- Flexible PTO
- Wellbeing + Learning & Growth reimbursements
- Paid parental leave + Fertility benefits
- Pet insurance
- Student loan refinancing
- Virtual resources for mindfulness, counseling, and fitness
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
SQLscientific writingdata analysisliterature reviewsresearch protocol submissionsproject managementstatistical analysisstudy designpublication strategydata visualization
Soft Skills
analytical skillscommunication skillsdetail-orientedorganizational skillsstakeholder managementcollaborationprocess improvementindependent analysisprioritizationstrategic thinking
Certifications
B.S. in HealthcareB.S. in Biomedical SciencesMaster’s degree (MSc) in BiostatisticsMaster’s degree (MSc) in Quantitative Methods