Vacancy catalog
ALLSTARSIT
Open roleUpdated

Senior Data Scientist - Clinical AI - Remote

ALLSTARSITPoland
Work model
Remote
Experience
5+ years
Employment
Not specified
Compensation
Not disclosed
Technology signal
1 tag

Technology context

1

Parsed from the vacancy text; ordered by relevance to this role.

Full listing

Role description

class="job-description-title-wrapper">

Job Details

Posted on

October 30, 2026

Job ID

tMrvUz

About the Company

Established in 2004, ALLSTARSIT was founded with a clear vision: to enhance the landscape of global IT employment by bridging the gap between companies and skilled professionals. The core belief was that assembling a team shouldn't be hindered by geographical constraints. Fast forward to the present day, ALLSTARSIT stands as an international outstaffing service provider committed to change the way businesses recruit, compensate, and oversee top talent worldwide.

With operational hubs scattered across Europe, Asia, and LATAM, and its headquarters situated in San Francisco, US, the company boasts a workforce of over 1,000 adept professionals. Spanning across more than 20 countries, ALLSTARSIT offers a diverse range of skilled employees across various verticals, including AI, cybersecurity, healthcare, fintech, telecom, media, and so on.

About the Project

Our client builds the flight simulator for clinical reasoning. They are an innovative, fast-growing Israeli startup developing advanced AI-powered solutions for healthcare. What began as research at the Technion and Rambam is now a live commercial product with leading medical faculties, a national examination body, top U.S. healthcare networks and the leading AI systems. The same platform trains and evaluates students, residents and experts, and evaluates the top AI systems and foundation models before and after they go live. They are a small team built for talent density: scientists who have shipped before, clinicians who know the decisions made at the bedside, and senior healthcare executives from the U.S. and Israel. The stakes are real: scores help decide whether an AI system is ready to see patients, and whether a resident is ready to decide alone. The hard problems are open, including multi-agent systems reasoning through medicine, measured against physicians.

Specialization

Headquarters

Years on the market

Team size and structure

Current technology stack

Required skills

Must Have

  • Team player and collaborator with no ego, who enjoys building together and makes the people around them better
  • Problem solver who enjoys the interaction, the debugging, and the building
  • 5+ years of hands-on Data Science experience, including significant experience in HealthTech or Digital Health
  • Experience building LLM-based products, including context management, tool integration, safety guardrails, and handling nondeterministic behavior
  • Strong understanding of clinical workflows and healthcare challenges
  • Proven ability to independently turn ambiguous problems into rigorous experiments and practical product solutions
  • Strong programming and analytical skills, with experience working with complex datasets
  • Clear communication with technical and non-technical stakeholders, and a collaborative approach across clinical, product, and engineering teams
  • BSc in Data Science, Computer Science, Engineering, Statistics, or a related field
  • Ownership, initiative, and comfort working in a fast-moving startup

Nice to Have

  • Experience with AI evaluation, benchmarking, scoring, or QA pipelines
  • Background in clinical decision support, EHR data, or healthcare outcomes
  • Experience in statistical modeling or reinforcement learning
  • Experience working with clinical testing or QA teams
  • Master's degree or higher in a relevant field

Scope of work

  • Partner with clinicians, customers, product, and engineering to turn complex healthcare problems into testable scientific questions
  • Analyze real-world clinical data and AI system behavior to uncover patterns, failure modes, and opportunities for improvement
  • Develop LLM and generative AI applications for clinical reasoning and healthcare
  • Build evaluation frameworks, metrics, and benchmarks to measure clinical and AI performance
  • Own projects from exploration through production, ensuring data quality, reproducibility, and reliability

Why ALLSTARSIT?