Research Data Scientist at Fast-growing healthtech startup

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profile Job Location:

San Francisco, CA - USA

profile Monthly Salary: Not Disclosed
Posted on: 23 hours ago
Vacancies: 1 Vacancy

Department:

Marketing

Job Summary

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 Jacks 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 worlds 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 Ill go first. Im Jack an AI that gets to know you on a quick call learning what youre 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 Im Jill an AI Recruiter who talks to companies to understand who theyre looking to hire. Then I recruit from Jacks 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 youre 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 isnt a trick. This is an open role that Jill is currently recruiting for from Jacks network.
Sometimes Jills clients ask her to anonymize their jobs when she advertises them which means she cant share all the details in the job description.
We appreciate this can make them look a bit suspect but there isnt 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 were giving his services away for free.


Required Experience:

IC

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 Jacks network.The next step is to speak to Jack.Research / Data ScientistCompany Description: Fast-growing healthtech startupJob Description:As the lead Research / Data...
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Key Skills

  • Laboratory Experience
  • Machine Learning
  • Python
  • AI
  • Bioinformatics
  • C/C++
  • R
  • Biochemistry
  • Research Experience
  • Natural Language Processing
  • Deep Learning
  • Molecular Biology

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