Were seeking a Full-Stack Software Engineer to help build and scale our platform from the ground up. This is a high-impact role with end-to-end ownership of projects from design to launchdriving outcomes in user growth operational efficiency and revenue.
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 the 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 company (i.e. Scale AI Square Stripe) or early-stage startups
Were seeking a Full-Stack Software Engineer to help build and scale our platform from the ground up. This is a high-impact role with end-to-end ownership of projects from design to launchdriving outcomes in user growth operational efficiency and revenue. If you join you will: - Own large parts of ou...
Were seeking a Full-Stack Software Engineer to help build and scale our platform from the ground up. This is a high-impact role with end-to-end ownership of projects from design to launchdriving outcomes in user growth operational efficiency and revenue.
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 the 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 company (i.e. Scale AI Square Stripe) or early-stage startups
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