Software Engineer

Forus•New York, NY

22d•Onsite

About The Position

As a Software Engineer on our team, you will work across the stack to solve business problems with software and build the foundation of our platform. The role requires that you develop a deep understanding of our product surface area and what drives our business, such that you can operate and drive impact both cross-functionally and independently. 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. 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. If you are low-ego, hungry to learn, and excited about intense, impactful work that drives both company growth and accelerated career progression, we want to hear from you. If you join, you will: Own large parts of our product surface area and drive the relevant roadmaps to deliver on specific outcomes (See below for focus areas) Drive zero-to-one product development from conceptualization through production, collaborating with our go-to-market and operations teams Build new features and products top-to-bottom: front-end, back-end, system design, debugging, and testing Participate actively in client engagements, working directly with customers to understand requirements and deliver innovative solutions Establish and improve engineering processes, tools, and systems that will allow us to scale the codebase and team productivity over time Work closely with the rest of our team and CEO to make business decisions as we balance speed of growth and long-term profitability

Requirements

Strong programming skills and general Computer Science knowledge
Relevant engineering experience at fast-growing product-driven companies
Proficiency across a range of full-stack web development technologies (we use Python, React, Typescript, PostgreSQL, and Kubernetes)
Strong written and verbal communication that allows you to be an effective participant in both internal debates and external relationships
Track record of moving quickly, finding shortcuts, and going to unreasonable lengths to deliver on goals
High NPS with your former teammates

Responsibilities

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