Forus
AI
EngineeringInternship
Neural analysis suggests this role is
optimal for Entry candidates.
“Engineering Internship at Forus. Skills: full-stack engineering, platform engineering, LLMs, AI-powered solutions. work on real production use cases of LLMs. help us scale to consumer and physician demand”
What You'll Achieve.
scale to consumer and physician demand; increase capacity and grow; achieve high precision document classification, unstructured data extraction, and reference-based question answering; Making our data and ML pipelines robust to variation and inconsistency in input data formats; build and continuously update our understanding of opaque external systems; Creating consumer-grade experiences for patients, physicians, and other users that incorporate intuitive AI-powered workflows; 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; Using real-time data and direct engagement channels to enroll criteria-matching patients and physicians in clinical studies and access programs
Industry & Context.
Do the math. Be rigorous, assume nothing. Break problems down and reason from the ground up.
All full-time roles are in person in New York., Summer internships are full-time at our office in NYC.
What They're Looking For.
Must Have
programming skills, general Computer Science knowledge
Nice to Have
Previous experience working on full-stack AI projects, Familiarity with or a desire to learn our stack (Python, React, Typescript, PostgreSQL, and Kubernetes), Track record of moving quickly, finding shortcuts, and going to unreasonable lengths to deliver on goals
What You'll Do.
work on real production use cases of LLMs, help us scale to consumer and physician demand, take on a specific business problem, lead the prototyping, evaluation, and product integration of AI-powered solutions, exploring both established and emerging methods and determining what gets us to the best outcome, drive your project independently, 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.
, clinical documentation structure and style), Leveraging empirical data to build and continuously update our understanding of opaque external systems (e.
, 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.
How You'll Work.
Team & Collaboration
work closely with individuals on our Engineering, Data, GTM, and Operations teams to work through key decisions, get feedback, and launch your features; spend a portion of your time shadowing or working on a GTM-focused project with our GTM team or CEO; push each other directly; win as a team
Communication Scope
Spit it out. Speak directly, invite critique, avoid equivocation.
Process & Methodology
lead the prototyping, evaluation, and product integration of AI-powered solutions, drive your project independently
Full Job Description
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 Engineer
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