Research Engineer

Why you should join us

Tandem is a generational opportunity to rethink how we bring new therapies to market, and our path to doing so is significantly de-risked - we have :

• Exponential organic growth : We have product-market fit and are growing rapidly through word-of-mouth. Tandem supports thousands of patients every day, is doubling doctor users every quarter, and is working with the largest biopharma companies in the world.
• An AI-first business model : Our approach is distinctly enabled by AI, but our business will get stronger (not commoditized) as foundation models improve. We are building durability through two-sided network effects that will compound over time.
• Top tier investors : With the traction to support conviction in our model, we raised significant funding from investors (Thrive Capital and General Catalyst) to build an exceptional team of engineers and operators.

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.

All full-time roles are in person in New York. You can learn more about working with us in the last section of this page.

About the role

As a Research Scientist on our team, you will work on real production use cases of LLMs and other ML techniques to solve business problems and create groundbreaking AI applications. 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 Tandem'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 :

We need your help to :

Combining AI / ML approaches to achieve high precision document classification, unstructured data extraction, and reference-based question answering

Making our data and ML pipelines robust to variation and inconsistency in input data formats (e.g., clinical documentation structure and style)

Translating large volumes of heterogeneous data into reliable insights, informing decisions like clinical indication selection, launch markets, and insurer negotiations

We'll be most excited if you have :

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

Tandem 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 :

We provide competitive compensation with meaningful equity (for full-time employees) . Everyone who joins early 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) :

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 Tandem (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.

Tandem 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.