Careers

The Role

We’re looking for a senior data analyst with 3–5 years of experience to join our data team. This is a high-ownership role: you’ll be working directly with messy, real-world healthcare data, building reliable reporting and analysis, and helping define data at Aradigm from the ground up.

You are primarily an analyst: someone who turns raw data into clear, trusted outputs. You’re not waiting for clean datasets or a defined roadmap. You’re comfortable owning end-to-end and building things the right way the first time. We work in-person in NYC. We'll consider exceptional remote candidates but have a strong preference for those based in or willing to relocate to NY.

What You’ll Do

• Drive analytics and reporting: produce clear analytical outputs across formats including structured reports, ad hoc analysis, and dashboards that support clinical, operations, finance, and executive stakeholders

• Work directly with claims data: ingest, clean, and model medical and pharmacy claims; understand how the data flows and where it breaks

• Build and maintain dbt models in BigQuery that are reliable, well-documented, and trusted across the team

• Apply statistical reasoning to program analytics: utilization trends, episode cost analysis, cohort comparisons, outlier identification

• Partner cross-functionally: translate business questions into analytical frameworks and communicate findings clearly to non-technical audiences

• Contribute to data foundations: help define standards for quality, documentation, and governance as the team scales

Who You Are

• 3–5 years of experience in healthcare data analytics, working directly with claims data; you understand what a claim is, how it flows, and why it’s messy

• Proficiency in SQL and experience with dbt for data modeling

• Experience with BigQuery or a comparable cloud data warehouse

• Strong data storytelling skills: comfortable producing clear analytical outputs across formats (structured reports, dashboards, ad hoc analysis)

• Statistics fundamentals: distributions, significance, regression, and the ability to apply statistical reasoning to utilization or cost data

• Comfortable in ambiguous, fast-moving environments: you enjoy building from scratch

Nice to Haves

• Experience with Python for modeling and analysis: statistical modeling, episode cost analysis, cohort work

• Experience with actuarial or health economics analysis (trend, PMPM, cohort modeling)

• Comfort using AI tools (Claude, Cursor, etc.) as a practical part of daily workflows

• Background in statistics, mathematics, actuarial science, public health, or a related quantitative field

Compensation & Benefits

• $135,000–$155,000 base salary, health coverage, equity, and 401(k)

• Must be authorized to work in the United States; Aradigm does not sponsor work visas description

The Role

Aradigm is a public benefit corporation helping people with cancer and other serious diseases access life-changing cell and gene therapies that can potentially cure them. We do this through a new coverage model for self-insured employers and health plans, and behind that model is a lot of data: claims and eligibility feeds, drug pricing, epidemiology, and the reference data that ties it all together.

We're hiring two Software Engineers, among the first engineering hires after our Head of Engineering, to build the platform that runs Aradigm. Our engineers aim to automate their own jobs away so they can move on to the next big engineering challenge. That takes many forms: implementing a new data feed, building an internal tool, or shipping an agent that runs a recurring workflow like an opportunity analysis end to end. Most of the work is greenfield, on a nascent platform you'll help shape.

You'll own business outcomes, not just code, with the autonomy to match: you'll scope problems with the people you serve, set priorities, and ship end to end. You'll report to our Head of Engineering and work alongside our data team. We're flat by design: no ladder to climb, and growth comes from scope and ownership. We work remotely within the US, with a strong preference for the East Coast and travel to our NYC office 3–5 times a year.

What Success Looks Like

Within your first year, you've built at least one agentic automation that the team uses every day.

What You'll Do

• Build data infrastructure: implement new data feeds, and model and serve claims, eligibility, pricing, epidemiology, and reference data in BigQuery with pipelines that are tested, observable, and trusted

• Automate the work, including your own: when a task repeats, turn it into a tool or an agent workflow instead of doing it again

• Build agent harnesses: MCP servers, tools, context, evals, and guardrails that let existing models like Claude reliably handle recurring work. We don't build or train models; we build what lets them do useful work safely

• Build internal tools: create the tools our clinical, actuarial, operations, sales, and finance teammates use daily, starting from their problem rather than a spec

• Ship with rigor: practice trunk-based development, write tests, run CI/CD, review code, and manage infrastructure as code on GCP

• Build securely: handle sensitive health data responsibly, and work with our Security Engineer so designs hold up to HITRUST and SOC 2 scrutiny

Who You Are

• Strong Python and SQL, with real engineering habits: testing, CI/CD, code review, and infrastructure as code are how you work, not extras

• 3–6 years of professional software or data engineering experience, ideally in health tech or another highly regulated industry

• You've owned a production system end to end that other people depended on, and you can take a loosely defined problem, scope it, and ship it without someone checking in daily

• You learn what the job needs: when a tool, framework, or domain is new to you, you pick it up quickly because the outcome depends on it

Ideal Experience

The ideal candidate brings all of these on day one. If you can speak in depth to two or three of them from past work, we want to talk to you.

• Production experience with a cloud data warehouse (BigQuery preferred) and reliable data pipelines

• LLM-powered tooling that people actually used, such as tool-calling apps, MCP servers, or agent workflows built with the Claude Agent SDK or similar frameworks

• Working in TypeScript

• Healthcare data such as medical and pharmacy claims, eligibility files, or pricing data, including work under HIPAA

• Modeling data with dbt

• Time as an early engineer at a startup

Requirements

• Must be authorized to work in the United States; Aradigm does not sponsor work visas

• Because our work includes government programs such as Medicaid, you must pass a background check and federal exclusion and debarment screening at hire and annually, and comply with our data use agreements

Compensation & Benefits

• $140,000–$165,000 base salary, health coverage, equity, and 401(k). We're a flat organization, so where you start in this range depends on your experience and the impact we expect you to have from day one.

Don't meet every qualification above? Apply anyway. If the rest of this role excites you, we'd like to hear from you.

The Role

Aradigm is a public benefit corporation helping people with cancer and other serious diseases access life-changing cell and gene therapies that can potentially cure them. We do this through a new coverage model for self-insured employers and health plans, and our customers trust us with their members' sensitive health data.

We're hiring our first Security Engineer, one of the first engineering hires after our Head of Engineering, to own security and compliance across the company. You'll own our HITRUST r2 and SOC 2 Type 2 programs and be the person customers and partners talk to when they want to know how we protect their data. This is a hands-on role: you'll write the policy, implement the control, collect the evidence, and answer the questionnaire.

You'll report to our Head of Engineering and work closely with our engineering and data teams, legal counsel, and an external IT partner. There's no security department to inherit, and we're a flat organization with no levels: you grow here by taking on more scope and owning outcomes. We work remotely within the US, with a strong preference for the East Coast and travel to our NYC office 3–5 times a year.

What Success Looks Like

Success in this role means obtaining and maintaining our HITRUST r2 and SOC 2 Type 2 certifications.

You won't do it alone. Your first six months focus on honing our processes and procedures, with our assessor, an external penetration testing team, and other security vendors helping you move faster.

What You'll Do

• Own HITRUST and SOC 2: lead our HITRUST r2 and SOC 2 Type 2 programs, including expanding HITRUST scope over time, and run the evidence, control testing, and remediation that keep both current year-round

• Own customer security reviews: answer security questionnaires, diligence requests, and audit asks from employers, health plans, and carriers; turn repeat questions into reusable, accurate answers

• Guide secure engineering: review security designs for new systems, audit our existing cloud (GCP) implementation, and give engineers clear, practical feedback rather than gatekeeping

• Run data loss prevention and AI governance: operate our DLP tooling and the controls around how AI tools and agents access sensitive data

• Manage vendor and third-party risk: assess vendors and subprocessors, and work with legal to confirm BAA terms match how data actually flows

• Partner with IT: work with our external IT team to make sure endpoint management, EDR, and other security tooling are deployed and configured correctly

• Build the program: write and maintain policies, run security awareness training, own incident response planning, and keep the risk register honest

Who You Are

• 4–10 years of hands-on security and compliance experience, ideally in healthcare; experience in another highly regulated industry (financial services, insurance, government) also works

• You've taken an organization through HITRUST (r2 strongly preferred) or a comparable framework, and you've owned SOC 2 evidence and audits directly

• Working knowledge of HIPAA Security and Privacy Rules and what a BAA does and doesn't cover

• Comfortable in a cloud environment: you can read an IAM policy, review logging and network config, and spot a risky design

• Clear writer who can explain controls to an auditor, a customer's security team, and an engineer, each in their own terms

• A builder, not a box-checker: you prefer controls that work in practice over ones that only pass an audit

• Comfortable in ambiguous, fast-moving environments where you set the priorities

Nice to Haves

• Certifications such as CCSFP, CISSP, CISA, or a GCP security certification

• Experience with GCP specifically, and with Google Workspace security

• Experience governing AI tools, LLMs, or agent access to sensitive data

• Scripting ability (Python or similar) to automate evidence collection and checks

• Comfort using AI tools (Claude, Cursor, etc.) as a practical part of daily workflows

Requirements

• Must be authorized to work in the United States; Aradigm does not sponsor work visas

• Because our work includes government programs such as Medicaid, you must pass a background check and federal exclusion and debarment screening at hire and annually, and comply with our data use agreements

Compensation & Benefits

• $140,000–$175,000 base salary, health coverage, equity, and 401(k). We're a flat organization, so where you start in this range depends on your experience and the impact we expect you to have from day one.

Don't meet every qualification above? Apply anyway, we'd like to hear from you.