Founding Fellow, New Indications at Ataraxis AI

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

03 Oct, 26

Salary

0.0

Posted On

05 Jul, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Dataset Sourcing, Relationship Management, Clinical Validation, Medical Affairs, Strategic Planning, Scientific Writing, Cross-functional Collaboration, Market Analysis, Precision Medicine, Clinical Trial Data Analysis

Industry

Artificial Intelligence

Description

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 You will lead expansion of Ataraxis’s offerings to one of the next cancer types beyond breast cancer. Ataraxis has developed a pan-cancer AI platform that has been internally validated to perform well across various tumor types. This role will work on creating the right environment for the commercial launch in the next cancer type(s). In that process, you will: Source real-world datasets, clinical trial datasets, and biobank resources to support AI model development and evaluation Develop and manage a network of relationships with key opinion leaders, clinical advisors, early adopters, and research collaborators to validate hypotheses, gather insights, and identify potential customers and partners Develop internal knowledge (memos, draft collateral material) in preparation for medical affairs/sales teams in the future Work directly with the CEO to execute on this launch in record speed Partner with engineering and research teams to inform clinical-grade model development Qualifications 2+ years of industry experience in biotech, pharma, diagnostics, or healthcare strategy, management consulting, or finance Preferred: MD, PhD, PharmD, NP, or a Master’s degree in cancer biology, molecular biology, cell biology, biomedical sciences, pharmacology, pharmaceutical sciences, or a related life sciences field Ability to quickly and independently process and learn new and complex scientific and medical topics Strong soft skills and being able to speak to various audiences, from medical key opinion leaders to software engineers. Optional but preferred: experience presenting scientific content to audiences Preferred: Experience writing academic/scientific content (e.g., peer-reviewed manuscripts, academic grant applications) Bias for action Ability to understand the big picture behind research and development and how it needs to translate to customers’ experience and product quality

Responsibilities

Lead the expansion of AI offerings into new cancer types by sourcing clinical datasets and managing relationships with key opinion leaders. Partner with engineering and research teams to facilitate the commercial launch of clinical-grade models.