Data Scientist

Description

The company is building an AI-powered network that connects doctors, pharmacies, payers, and biopharma to accelerate new science to patients.

Our platform automates the complexity between a doctor prescribing a medicine and a patient starting treatment, including insurance coverage, financial assistance, and supply chain navigation. We provide this support free to doctors and patients, helping them get life-changing medicine faster, cheaper, and easier. The resulting network enables biopharma companies to design better research, launch new drugs more effectively, and invest in harder-to-treat conditions.

The company has exceptional product-market fit and is growing rapidly through organic adoption:

Accelerating scale: We already support patients across more than 85% of ZIP codes and partner with 9 of top 15 largest biopharma companies in the world.

AI-native, durable model: Our business becomes stronger as AI improves, as every new doctor, patient, and partner makes the network more valuable.

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.

If we succeed, science will be the only limit to medicine.

All full-time roles are in person in New York.

About the role

As a Data Scientist on our team, you will not only define and predict our company’s core metrics, you will drive them. This is a role of immense range, stretching from developing advanced analytical models to owning end-to-end strategic project implementation.

Your work will be hyper cross-functional, sometimes driving forward technical projects in partnership with an engineer, other times leading an operational workstream.

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' 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:

Drive strategic projects that require deep data analysis, with accountability for end-to-end execution and business outcomes – this may include:

Sourcing and using industry and market data to shape the company' go-to-market and growth strategy

Leveraging our internal workflow data to predict operational throughput and bottlenecks and prioritize new workflow automations as we scale

Prototyping new modeling approaches to AI problems (e.g., outcome prediction and optimization for insurance-related processes) in collaboration with our Engineering team

Building out a unified user interaction model to define the company' consumer and provider product roadmaps

Create and rapidly iterate on externally facing data products for the company' key partners and actively participate in priority client engagements

Establish the company' core data sources and metrics to empower everyone on the team to answer complex questions about the company' business in real-time

Work directly with our CEO and leadership team as a critical partner in making business decisions as we balance speed of growth and long-term profitability

We’re looking for you if you have:

An advanced degree in a quantitative field or 4+ years of work experience in an analytics-heavy, business-focused role

Strong technical background with exceptional ability to do data analysis using SQL and Python, as well as pick up new tools on the fly

Ability to bring clarity to ambiguous problems and lead projects with major business impact, collaborating across teams and levels to drive sound decisions

Comfort with zooming in and out of problems, jumping between high-level thinking and granular methods of problem-solving

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

This is a list of ideal qualifications for this position. If you don't meet every single one of them, you should still consider applying! We’re excited to work with people from underrepresented backgrounds, and we encourage people from all backgrounds to apply.

Working with us

The company is based in New York, with our full team working out of a beautiful and spacious office in SoHo.

We run as a high-trust environment with high autonomy, which requires that everyone is fully competent and operates in line with our principles:

Do the math. Be rigorous, assume nothing. Break problems down and reason from the ground up. Stay open to changing your mind.

Resourceful optimism. Assume problems are solvable. Be audacious. Resist false constraints and push beyond the obvious before deciding.

Spit it out. Speak directly, invite critique, avoid equivocation. We want right answers, not comfortable ones. All killer, no filler.

Raise the bar. Hold a high standard for your pace and execution, and elevate the performance of the team around you. Mamba mentality.

Fight for users. Start with users’ realities, not ours. Resist optimizing for internal convenience over user outcomes.

We provide competitive compensation with meaningful equity (for full-time employees) . Everyone who joins will be a major contributor to our success, and we reflect this through ownership and pay.

We also provide rich benefits to ensure you can focus on creating impact (for full-time employees) :

Fully covered medical, vision, and dental insurance.

Memberships for One Medical, Talkspace, Teladoc, and Kindbody.

Unlimited paid time off (PTO) and 16 weeks of parental leave.

401K plan setup, FSA option, commuter benefits, and DashPass.

Lunch at the office every day and Dinner at the office after 6:30 pm.

Our salary ranges are based on paying competitively for our company’s size and industry, and are one part of the total compensation package that also includes equity, benefits, and other opportunities at the company (for full-time employees). Individual pay decisions are ultimately based on a number of factors, including qualifications for the role, experience level, skillset, geography, and balancing internal equity.

The company is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.