
Job Overview
Location
New York HQ
Job Type
Full-time
Category
Data Science
Date Posted
July 4, 2026
Full Job Description
đź“‹ Description
- • Generate scientific and clinical insights from data produced by AI models to identify opportunities for model improvement and clinical impact.
- • Collaborate with AI researchers, AI engineers, biostatisticians, and translational scientists to advance clinical AI applications in precision medicine.
- • Contribute to peer-reviewed publications in high-impact scientific and clinical journals as a lead or co-author.
- • Summarize research findings into abstracts for presentation at national and international scientific meetings.
- • Draft and submit applications to access restricted clinical trial datasets from external partners.
- • Work directly with external clinical institutions and oncology centers to align AI tools with real-world treatment workflows.
- • Translate complex AI model outputs into actionable clinical recommendations for physicians treating cancer patients.
- • Apply machine learning concepts to interpret multi-modal clinical data including digital pathology, genomics, and electronic health records.
- • Use Python extensively to analyze datasets, prototype analyses, and support model validation pipelines.
- • Maintain rigorous attention to detail in data interpretation, documentation, and communication of results to both technical and clinical audiences.
- • Actively participate in cross-functional teams to refine AI models based on clinical feedback and emerging research.
- • Drive research initiatives from concept through publication and clinical deployment with minimal supervision.
- • Contribute to the development of clinical AI products such as Ataraxis™ Breast, ensuring alignment with oncology standards and physician needs.
- • Engage with advisory board members and external experts in AI and oncology to inform research direction and validation strategies.
- • Prioritize tasks ruthlessly to advance high-impact research goals within a fast-paced, flat organizational structure.
- • Demonstrate initiative by identifying novel research questions and proposing solutions that bridge AI innovation with clinical utility.
🎯 Requirements
- • MD or PhD in a scientific discipline
- • Prior lead author papers published in high-profile scientific and/or clinical journals
- • Excellent understanding of basic machine learning concepts
- • Excellent skills in Python
- • Exceptional spoken and written communication skills
- • Passion for research, attention to detail, and ability to drive tasks to completion
🏖️ Benefits
- • Opportunity to shape the future of healthcare through clinical AI at a funded research lab
- • Work alongside AI pioneers including founding advisor Yann LeCun and top oncologists
- • Collaborate with leading academic institutions and community clinics worldwide
- • Join a flat organizational structure where initiative and results determine leadership roles
- • Be part of a team backed by $24M in funding, including investments from Thiel Capital/Founders Fund, Obvious Ventures, and AIX Ventures
- • Contribute to clinically deployed AI products used by physicians globally
Skills & Technologies
See exactly how your profile matches this role — strengths, skill gaps, and what to do about them.
About Ataraxis AI Inc.
Ataraxis AI provides AI-powered decision-support solutions for the healthcare industry. Its cloud platform ingests clinical, financial and operational data to predict patient deterioration, optimize staffing and reduce administrative burden. Targeting hospitals and health systems, the company delivers real-time dashboards that rank patients by risk, suggest interventions and quantify financial impact. Ataraxis AI integrates with existing electronic health records and claims feeds, offering explainable models built on de-identified datasets to support clinicians and administrators in improving outcomes and lowering costs.
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