Research / Data Scientist at Fast-growing healthtech startup at Jack & Jill/External ATS

San Francisco, California, United States -

Full Time

Start Date

Immediate

Expiry Date

17 May, 26

Salary

0.0

Posted On

16 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Applied Machine Learning, Statistics, Python, SQL, Survival Analysis, Healthcare Data, EHRs, Claims Data, Cohort Definition, Feature Construction, Predictive Modeling, Clinical Research, Data Analysis, Communication

Industry

Staffing and Recruiting

Description

This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers. She will pick the best candidates from Jack's network. The next step is to speak to Jack. Research / Data Scientist Company Description: Fast-growing healthtech startup Job Description: As the lead Research / Data Scientist, you will spearhead a high-profile retrospective analysis with a premier medical institution. You will sit at the intersection of applied machine learning and clinical research, transforming messy healthcare data into compelling evidence that influences surgical leaders and executives at top-tier health systems globally. Location: Remote Why this role is remarkable: Lead a flagship collaboration with one of the world's most prestigious medical centers to prove clinical and economic value. High-impact early role where you will define the analytical foundation for how the company demonstrates success to health systems. Work in a high-ownership environment backed by top-tier VCs with direct access to elite clinical advisors. What you will do: Lead end-to-end retrospective analyses including cohort definition, feature construction, and predictive modeling using clinical datasets. Collaborate closely with surgeon advisors to pressure-test assumptions and ensure the clinical relevance of your findings. Translate complex statistical results into clear visual narratives and slides that articulate clinical, operational, and financial impact. The ideal candidate: Strong background in applied ML and statistics (Python, SQL, survival analysis) with hands-on experience in healthcare data like EHRs or claims. Pragmatic, fast-moving executor who prioritizes actionable insights and real-world delivery over academic perfection. Exceptional communicator capable of engaging directly with clinical stakeholders to iterate on research questions and translate results into strategy. Who are Jack & Jill? Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support. And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate. Next steps Step 1. Visit our website. Step 2. Click 'Talk to Jack'. Step 3. Talk to Jack so he can understand your experience and ambitions. Step 4. Jack will make sure Jill (the AI agent working for the company) considers you for this role. Step 5. If Jill thinks you're a great fit and her client wants to meet you, they will make the introduction. Step 6. If not, Jack will find you excellent alternatives. All for free. We never post fake jobs This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network. Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description. We appreciate this can make them look a bit suspect, but there isn't much we can do about it. Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.

Responsibilities

The lead Research/Data Scientist will spearhead a high-profile retrospective analysis with a premier medical institution, focusing on applied machine learning and clinical research. Responsibilities include leading end-to-end retrospective analyses, collaborating with surgeon advisors, and translating complex results into visual narratives.