Director - Research Programs

About Rhino

Rhino Federated Computing Rhino solves one of the biggest challenges in AI: seamlessly connecting siloed data through federated computing. The Rhino Federated Computing Platform (Rhino FCP) serves as the ‘data collaboration tech stack’, extending from providing computing resources to data preparation & discoverability, to model development & monitoring - all in a secure, privacy preserving environment. To do this, Rhino FCP offers flexible architecture (multi-cloud and on-prem hardware), end-to-end data management workflows (multimodal data, schema definition, harmonization, and visualization), privacy enhancing technologies (e.g., differential privacy), and allows for the secure deployment of custom code & 3rd party applications via persistent data pipelines. Rhino is trusted by >60 leading organizations worldwide - including 14 of 20 of Newsweek’s ‘Best Smart Hospitals’ and top 20 global biopharma companies - and is leveraging this foundation for financial services, ecommerce, and beyond.

The company is headquartered in Boston, with an R&D center in Tel Aviv.

About Rhino Federated Computing

Rhino Federated Computing Rhino solves one of the biggest challenges in AI: seamlessly connecting siloed data through federated computing. The Rhino Federated Computing Platform (Rhino FCP) serves as the ‘data collaboration tech stack’, extending from providing computing resources to data preparation & discoverability, to model development & monitoring - all in a secure, privacy preserving environment. To do this, Rhino FCP offers flexible architecture (multi-cloud and on-prem hardware), end-to-end data management workflows (multimodal data, schema definition, harmonization, and visualization), privacy enhancing technologies (e.g., differential privacy), and allows for the secure deployment of custom code & 3rd party applications via persistent data pipelines. Rhino is trusted by >60 leading organizations worldwide - including 14 of 20 of Newsweek’s ‘Best Smart Hospitals’ and top 20 global biopharma companies - and is leveraging this foundation for financial services, ecommerce, and beyond.

The company is headquartered in Boston, with an R&D center in Tel Aviv.

About the Role

Rhino Federated Computing is hiring a Director of Research Programs to drive the adoption of our platform across multi-institution collaborations, grant-funded initiatives, and strategic scientific programs.

This is an individual contributor (IC) role with room for growth, focused on identifying and shaping high-impact opportunities where Federated Computing can become core infrastructure  particularly in research environments that require secure, privacy-preserving data collaboration. You will lead efforts to originate new revenue, expand institutional footprint, and position Rhino as the default platform for cross-organizational AI/ML development.

You'll work closely with academic medical centers, research consortia, public-sector agencies, and global scientific collaboratives. Your success will be measured by pipeline and revenue generated from multi-party initiatives, as well as network expansion, program-level influence, and visibility in publications or reference architectures.

Responsibilities

• Originate and shape new revenue opportunities by embedding Rhino in grant-funded research programs, multi-institutional data collaboratives, and emerging public-private initiatives.
  
  
• Identify and prioritize strategic programs and consortia where federated computing is critical infrastructure (e.g., data sharing, privacy-preserving model development, AI auditability).
  
  
• Develop deep external relationships with principal investigators (PIs), program managers, institutional research leaders, and sponsoring organizations.
  
  
• Drive pipeline growth by identifying and engaging design partner projects and surfacing opportunities where Rhino can be written into grant applications, RFAs, and proposal budgets.
  
  
• Act as a commercial partner in proposal development, providing value propositions, technical positioning, and deployment models.
  
  
• Collaborate cross-functionally with sales, marketing, product, and partnerships to ensure alignment on roadmap, messaging, and deal strategy.
  
  
• Track and report on opportunity pipeline, including influenced revenue, ecosystem expansion, and co-development milestones.

Qualifications

• 6+ years experience in research collaborations, strategic BD, academic alliances, or platform commercialization — ideally in AI/ML, data infrastructure, or scientific computing.
  
  
• An advanced degree (e.g., PhD, MD, MPH, or MS in a relevant scientific, engineering, or public health field) is valued, but not required, especially if paired with experience driving cross-institutional research initiatives or platform adoption.
  
  
• Proven ability to work across scientific and commercial stakeholders, translating technical capabilities into grant-winning proposals and adoption strategies.
  
  
• Experience engaging with or working inside academic medical centers, research hospitals, federal agencies (e.g., NIH), or global consortia.
• Strong understanding of how grant funding works — including identifying opportunities, supporting proposal writing, and influencing RFPs/RFAs.
  
  
• Commercial mindset with experience generating pipeline, surfacing opportunities, and influencing buying behavior (even if not quota-carrying).
  
  
• Excellent relationship builder, comfortable with ambiguity, and energized by influencing large, complex, multi-party initiatives.
  
  
• Boston preferred, ability to work EST hours required