Forus

Forus

Research Engineer

New York office · Full-time

Sponsorship not specifiedDetected 90 days ago
AlgorithmsMachine LearningDeep LearningTensorFlowPyTorchNLPLLMsA/B TestingSupply ChainClinical TrialsResearchCommunication

About the role

  • This is a demanding role, with a high level of autonomy and responsibility.
  • You will be expected to "act like an owner" and commit yourself to Forus' success.
  • Stay on top of emerging AI methods and guide decisions around which models and techniques to adopt--including evaluating when to use open-source models, proprietary models, and custom fine-tuning approaches

Responsibilities

  • We already support patients across more than 80% of ZIP codes and partner with 5 of the 10 largest biopharma companies in the world.
  • We raised $160M+ from leading investors to build an exceptional team and unlock the full scale of the opportunity.
  • You will have end-to-end responsibility for projects, including definition, design, development, launch, and success--this includes ensuring your output has the expected impact on user growth, operational efficiency, or revenue generation.
  • Leveraging empirical data to build and continuously update our understanding of opaque external systems (e.g., insurance company policies)
  • Track record of moving quickly, finding shortcuts, and going to unreasonable lengths to deliver on goals

Skills

  • Strong programming skills and general Computer Science knowledge

Compensation

  • We provide competitive compensation with meaningful equity (for full-time employees).

Benefits

  • Experience working on complex ML problems (e.g., data-efficient learning, reasoning agents, or multi-step workflows) and deploying those solutions in production environments
  • Fully covered medical, vision, and dental insurance.
  • Memberships for One Medical, Talkspace, Teladoc, and Kindbody.
  • Unlimited paid time off (PTO) and 16 weeks of parental leave.
  • 401K plan setup, FSA option, commuter benefits, and DashPass.

Company info

  • Forus is building an AI-powered network that connects doctors, pharmacies, payers, and biopharma to accelerate new science to patients.
  • Our platform automates the complexity between a doctor prescribing a medicine and a patient starting treatment, including insurance coverage, financial assistance, and supply chain navigation. We provide this support free to doctors and patients, helping them get life-changing medicine faster, cheaper, and easier. The resulting network enables biopharma companies to design better research, launch new drugs more effectively, and invest in harder-to-treat conditions.
  • Forus has exceptional product-market fit and is growing rapidly through organic adoption:
  • Accelerating scale: We already support patients across more than 80% of ZIP codes and partner with 5 of the 10 largest biopharma companies in the world.
  • Our platform automates the complexity between a doctor prescribing a medicine and a patient starting treatment, including insurance coverage, financial assistance, and supply chain navigation.
  • We provide this support free to doctors and patients, helping them get life-changing medicine faster, cheaper, and easier.
  • The resulting network enables biopharma companies to design better research, launch new drugs more effectively, and invest in harder-to-treat conditions.
  • AI-native, durable model: Our business becomes stronger as AI improves, as every new doctor, patient, and partner makes the network more valuable.
  • Backing to build for the long term: We raised $160M+ from leading investors to build an exceptional team and unlock the full scale of the opportunity.
  • Our number one priority is scaling to market demand.
  • We are looking for individuals who are high horsepower, high throughput, and hyper resourceful to help us increase capacity and grow.
  • We move fast and need to move faster.
  • If we succeed, science will be the only limit to medicine.
  • All full-time roles are in person in New York.

This listing is sourced directly from Forus's careers page and normalized into a canonical job model.