Why you should join us

Forus is a generational opportunity to rethink how we bring new therapies to market, and our path to doing so is significantly de-risked – we have:

• Exponential organic growth: We have product-market fit and are growing rapidly. Forus supports thousands of new patients every day, is spreading with doctors through word-of-mouth, and works with the largest biopharma companies in the world.

• An AI-first business model: Our approach is distinctly enabled by AI, but our business gets stronger (not commoditized) as foundation models improve. We are building durability through two-sided network effects that compound over time.

• Top tier investors: With the traction to support conviction in our model, we raised significant funding from top investors (Thrive Capital, General Catalyst, and Accel) to build an exceptional team of engineers and operators.

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.

All full-time roles are in person in New York. You can learn more about working with us in the last section of this page.

About the role

We are looking for full-stack and platform engineering interns who want to work on real production use cases of LLMs and help us scale to consumer and physician demand.

You will take on a specific business problem and lead the prototyping, evaluation, and product integration of AI-powered solutions. Your responsibility will include exploring both established and emerging methods and determining what gets us to the best outcome. You will be expected to drive your project independently, but you will work closely with individuals on our Engineering, Data, GTM, and Operations teams to work through key decisions, get feedback, and launch your features.

Summer internships are full-time at our office in NYC. In addition to working as part of our Engineering team, you will have the option to spend a portion of your time shadowing or working on a GTM-focused project with our GTM team or CEO.

We are flexible on start date, with potential to extend beyond the Summer into the Fall semester.

We need your help to:

• Decipher and automate complex, branching workflows for insurance coverage, affordability programs, and fulfillment

  • Combining AI/ML approaches to achieve high precision document classification, unstructured data extraction, and reference-based question answering

  • Automating multi-step, path-dependent processes, using a combination of RPA/scraping approaches to navigate and operate third-party platforms

  • Building a state machine that drives system decisions and handles failure modes across a set of processes that are technically independent but practically intertwined

• Scale across a growing range of drug classes, patient populations, and provider markets

  • Making our data and ML pipelines robust to variation and inconsistency in input data formats (e.g., clinical documentation structure and style)

  • Leveraging empirical data to build and continuously update our understanding of opaque external systems (e.g., insurance company policies)

  • Creating consumer-grade experiences for patients, physicians, and other users that incorporate intuitive AI-powered workflows

• Use our network to help biopharma partners accelerate drug development, launch, and access

  • Translating large volumes of heterogeneous data into reliable insights, informing decisions like clinical indication selection, launch markets, and insurer negotiations

  • Developing predictive and simulation models to forecast outcomes such as clinical trial site performance, drug adoption rates, and the impact of rebates/subsidies

  • Using real-time data and direct engagement channels to enroll criteria-matching patients and physicians in clinical studies and access programs

We’ll be most excited if you have:

• Strong programming skills and general Computer Science knowledge

• Product engineering experience such as building web apps full-stack, integrating with relevant APIs and services, figuring out what to build and then iterating

• Previous experience working on full-stack AI projects is a plus

• Familiarity with or a desire to learn our stack is a plus (Python, React, Typescript, PostgreSQL, and Kubernetes)

• Track record of moving quickly, finding shortcuts, and going to unreasonable lengths to deliver on goals

This is a list of ideal qualifications for this position. If you don't meet every single one of them, you should still consider applying! We’re excited to work with people from underrepresented backgrounds, and we encourage people from all backgrounds to apply.

Working with us

Forus is based in New York, with our full team working out of a beautiful and spacious office in SoHo. 

We run as a high-trust environment with high autonomy, which requires that everyone is fully competent and operates in line with our principles:

• Do the math. Be rigorous, assume nothing. Break problems down and reason from the ground up.

• Expand the solution space. Be resourceful and audacious. Resist false constraints and push beyond the obvious before committing.

• Spit it out. Speak directly, invite critique, avoid equivocation. We want right answers, not comfortable ones.

• Raise the bar together. Hold a high standard for execution, push each other directly, and win as a team.

We provide competitive compensation with meaningful equity (for full-time employees). Everyone who joins early will be a major contributor to our success, and we reflect this through ownership and pay.

We also provide rich benefits to ensure you can focus on creating impact (for full-time employees):

• 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.

• Lunch at the office every day and Dinner at the office after 7 pm.

Our salary ranges are based on paying competitively for our company’s size and industry, and are one part of the total compensation package that also includes equity, benefits, and other opportunities at Forus (for full-time employees). Individual pay decisions are ultimately based on a number of factors, including qualifications for the role, experience level, skillset, geography, and balancing internal equity.

Forus is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.