About this role:
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 the company’s 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 code base 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
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
Additional:
• 0 - 15 years of experience as a full stack software engineer at a high-quality fast-growing product-driven companies (i.e. Scale AI, Square, Stripe) or early stage startups
• Salary
• $150k - $225k
• Equity
• Competitive
Visa sponsorship available
• On-site work policy
• In-person 5 days/week in Soho, NYC
• Full-time position
Location:
NYC
Tech stack:
Python, React, TypeScript, PostgreSQL, Kubernetes
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