Clinical Evidence Scientist

Rivanna Medical, Inc. is seeking a Clinical Evidence Scientist to serve as the scientific owner of clinical data curation and analysis to support clinical evidence generation activities for the Accuro® 3S and Accuro® XV product lines. This role will translate clinical data into high-impact scientific outputs that directly support Limited Market Release commercialization/market access and external stakeholder needs, while informing clinical enrollment and site strategy decisions. This is a hands-on, multidisciplinary role working closely with Clinical Operations, R&D, and Commercial/BD to establish a reliable “evidence pipeline” of case studies, publications, whitepapers, and stakeholder-ready analyses.

• Execute clinical data organization and analysis activities for Accuro 3S and Accuro XV
• Generate claims-substantiating evidence assets for commercialization/market access, including:
  • Case studies and evidence briefs
  • Peer-reviewed manuscripts, abstracts, posters, and conference submissions
  • Technical whitepapers / scientific content supporting product claims
• Maintain an evidence/publication plan, coordinate inputs from internal teams and external collaborators, and drive deliverables to submission.
• Support external stakeholder reporting through monthly evidence review decks and execution of ad-hoc analyses.
• Build and maintain site performance analyses to inform site initiation, optimization, and go/no-go gates.
• Leverage external datasets as needed to evaluate procedure-volume proxies and other market signals supporting value proposition development and future site targeting.
• AI-development support: deliver clinical stratification analyses and curated insights that support existing AI/model development owners.
• Contribute to grant or non-dilutive submissions when aligned with priorities and candidate experience.

• Education: PhD preferred in biomedical engineering, life sciences, clinical research, biostatistics, data science, or related field; MS with a strong publication/scientific writing record will be considered.
• Demonstrated experience analyzing clinical trial or clinical study datasets and translating findings into clear, defensible scientific conclusions.
• Strong track record of scientific writing (peer-reviewed publications, conference abstracts/posters, whitepapers). Grant-writing experience is a plus.
• Hands-on proficiency with quantitative analysis tools (e.g., Python and/or R, Excel; statistical methods; data visualization). SQL and experience with clinical databases/EDC tools (e.g., REDCap, Medrio, or similar) are a plus.
• Ability to create crisp, stakeholder-ready materials (slide decks, evidence summaries) and communicate across technical, clinical, and commercial audiences.
• Comfortable managing multiple priorities and stakeholders in a fast-paced, high-ownership environment.