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Work with us.

Savvyn is an AI evidence intelligence platform for life sciences. We help diagnostics, device and pharma companies understand what their evidence supports for coverage, funding and adoption, and where the gaps are. We’re a small team based in Cumberland, Maine. Our open roles are below.

Clinical Scientist

Full-time Remote Starts ASAP

About Savvyn

Savvyn is Google Maps for healthcare products. A life sciences company sees where it is on the map, the route from here to approval, and how long it will take. Investors, payers and anyone evaluating the product see the ETA: how close it really is, and what’s left between where it is now and the finish line.

Behind it is our own vector knowledge graph of the studies, coverage policies, guidelines and committee decisions that shape these calls. Specialist AI agents work through it, and we test them continuously in controlled decision environments so they can navigate complex decisions reliably.

The work

Engine development

You’ll help build the knowledge graph and decide what goes into it, from studies and coverage policies to guidelines and committee decisions. You’ll also design the decision environments we use to test our agents, and judge whether their calls hold up.

Customer evidence work

Diagnostics and device companies use Savvyn to see where their product stands and what’s left to get it covered and adopted. You’ll run those assessments, working directly with customers and their experts.

What you’ll do

  • Pull together coverage cases with known outcomes, starting with MolDx oncology, including LCDs, technical assessments, published studies and payer decisions
  • For each case, document the evidence submitted, the gaps payers flagged and how those objections were resolved
  • Turn those judgments into test cases and scoring criteria for our agents
  • Run the agents on each case, compare their calls to the actual decision, and track where they go wrong by case type, evidence depth and decision-maker
  • Add new evidence types to the knowledge graph and check that extracted data matches the source
  • Draft study designs that would close a product’s evidence gaps
  • Set up customer workspaces, including loading their studies, data and target payer policies
  • Run evidence assessments covering what’s supported, what’s missing and which payer criteria aren’t met
  • Sit in on reviews with customers’ experts and log every correction with the original output and the source it ties to
  • Write findings reports for customers and flag issues for the engineering team

What we’re looking for

  • PhD in a biomedical or life science field
  • 5+ years in clinical research, diagnostics or evidence work, such as medical affairs, HEOR, evidence generation or market access
  • Experience critiquing clinical studies, including the design, the statistics and whether the conclusions hold up
  • You notice when something is slightly off and you follow it up
  • You work well independently and write clearly

Nice to have

  • Oncology experience
  • Experience with diagnostic coverage, especially MolDx
  • Experience working with or evaluating AI tools in scientific work

Why join now

You’d be Savvyn’s first full-time scientific hire, and you’ll help shape how the product evaluates evidence. You’ll work directly with our founder, who has 15+ years in precision oncology and built the evidence behind MolDx Medicare coverage for NavDx at Naveris. As the team grows, this role grows with it.

Logistics

Type
Full-time (W-2)
Location
Remote
Start
As soon as possible
Salary
$105,000–$125,000 + equity

Apply

Apply through the form below. If you know someone who’d be great, please send this their way!

If the form doesn’t load, email careers@savvyn.ai.