Ataraxis AI Logo

Ataraxis AI

Research Collaborations Associate

Posted 14 Days Ago
Be an Early Applicant
In-Office
New York, NY, USA
70K-115K Annually
Entry level
In-Office
New York, NY, USA
70K-115K Annually
Entry level
Identify and engage researchers and institutions for data access and research collaborations; lead initial partnership conversations; translate discussions into data specifications; draft partnership materials and early agreement language; track outreach and manage follow-up through execution.
The summary above was generated by AI
About Ataraxis AI

Ataraxis is a clinical AI research lab working at the intersection of multi-modal AI and precision medicine. Our goal is to make disease predictable. To accomplish this, we develop new AI methods that predict patient outcomes and treatment response, and build clinical tools to assist physicians in selecting the most optimal treatments for their patients.

Our AI research lab discovers and develops methods to recognize patterns and predict outcomes across complex, multi-modal clinical data. This spans our causality (Ataraxis™ Tau), foundation model (Falcon and Kestrel for digital pathology), and survival analysis research.

Our first clinical products, such as Ataraxis™ Breast for breast cancer, already help patients get the most appropriate treatment across the best academic institutions and community clinics worldwide.

At Ataraxis, you will have a unique opportunity to shape not only the future of our company, but also the future of healthcare. You will join an exceptional team at the forefront of clinical AI research and deployment. Our advisors include AI pioneers such as our founding advisor, Yann LeCun, and distinguished oncologists from top cancer research institutions, all united by the mission to redefine precision medicine.

Ataraxis has raised over $24 million in funding, including a $20 million Series A led by top venture capital funds such as Thiel Capital/Founders Fund (OpenAI, SpaceX, Palantir), Obvious Ventures (AMI Labs, Inceptive, Radical Numerics, Recursion), and AIX Ventures (Hugging Face, Perplexity).

We are an company with a flat organizational structure, where every team member is empowered to actively contribute. Leadership roles are earned by those who demonstrate initiative and consistently deliver exceptional results. Strong work ethic and the ability to prioritize ruthlessly are essential.

Responsibilities
  • Identify and engage researchers and institutions for potential data access and research collaborations

  • Lead initial conversations to explain project scope and assess partnership fit

  • Translate collaboration discussions into clear data requirements and specifications

  • Draft partnership materials (summaries, proposals, early agreement language) for internal and legal review

  • Track outreach and partnership status, and manage timely follow-up through to execution

Qualifications
  • Preferred: PhD or Master's degree in a scientific, clinical, or other relevant discipline

  • Exceptional spoken and written English communication skills

  • Strong organizational skills and comfort managing many parallel relationships and deadlines without things slipping

  • Experience or familiarity with clinical/research data (clinical trials, biobanks, pathology, or similar) is a strong plus

  • Comfort drafting business documents (one-pagers, basic contract language) — prior experience with data use agreements, MTAs, or research collaboration agreements is a bonus

HQ

Ataraxis AI New York, New York, USA Office

New York, NY, United States

Ataraxis AI New York, New York, USA Office

169 Madison Ave, , New York, NY , United States, 10016

Similar Jobs

53 Minutes Ago
In-Office
107K-182K Annually
Senior level
107K-182K Annually
Senior level
Artificial Intelligence • Hardware • Information Technology • Machine Learning
The Thin Films Engineer develops deposition processes for EUV-enabled DRAM, focusing on process optimization and defect reduction while collaborating with multifunctional teams.
Top Skills: AfmAldCvdEuvLpcvdPe-AldPecvdSimsXpsXrd
54 Minutes Ago
In-Office
98K-200K Annually
Senior level
98K-200K Annually
Senior level
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Lead design and delivery of water and wastewater systems for U.S. greenfield semiconductor fabs. Coordinate cross-functional teams, develop system designs and standards, review construction specifications, support cost/schedule estimates, drive performance and sustainability improvements, and integrate AI-assisted tools to improve engineering outcomes.
Top Skills: Agentic AiAi-Assisted Tools
54 Minutes Ago
In-Office
101K-173K Annually
Senior level
101K-173K Annually
Senior level
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Lead category strategy, strategic sourcing, and negotiations for facilities CSA and MEP subcontract packages. Drive cost management, supplier relationship management, sourcing events/RFQs, and collaborate with internal customers to improve cost, supply resilience, and performance. Leverage AI-enabled tools to analyze data and support decision-making.
Top Skills: Microsoft Copilot

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account