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Thiel Capital Jobs (NOW HIRING)

General Application

New York, NY ยท On-site

$101K - $301K/yr

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 ...

Data Partnerships

Manhattan, NY ยท On-site

$90 - $150/hr

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 ...

Founding Fellow, New Indications

New York, NY ยท On-site

$115K - $255K/yr

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 ...

Scientific Strategy, Oncology

New York, NY ยท On-site

$115K - $255K/yr

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 ...

Founded by a former FBI agent and backed by leading investors including Andreessen Horowitz, Y Combinator, Peak XV and Thiel Capital, Kodex has become the industry standard for secure data exchange.

Founded by a former FBI agent and backed by leading investors including Andreessen Horowitz, Y Combinator, Peak XV and Thiel Capital, Kodex has become the industry standard for secure data exchange.

Founded by a former FBI agent and backed by leading investors including Andreessen Horowitz, Y Combinator, Peak XV and Thiel Capital, Kodex has become the industry standard for secure data exchange.

Founded by a former FBI agent and backed by leading investors including Andreessen Horowitz, Y Combinator, Peak XV and Thiel Capital, Kodex has become the industry standard for secure data exchange.

Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel ... Develop headcount and capital expenditure plans with hiring pacing, project approvals, payback, and ...

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Thiel Capital information

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$25K

$103.4K

$195.5K

How much do thiel capital jobs pay per year?

As of Aug 9, 2026, the average yearly pay for thiel capital in the United States is $103,445.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,000.00 and $124,500.00 per year, depending on experience, location, and employer.

What types of projects or investments do team members at Thiel Capital typically work on?

Team members at Thiel Capital often work on evaluating emerging companies, conducting market research, and assisting with due diligence on potential investments across various sectors, particularly technology and innovation-driven fields. The environment is fast-paced and projects can range from deep-dive financial analyses to supporting portfolio companies with strategic advice. Collaboration with both internal colleagues and external entrepreneurs or industry experts is a common part of the job. This diverse range of responsibilities offers opportunities for significant professional growth, exposure to cutting-edge industries, and the chance to actively shape investment decisions.

What are the key skills and qualifications needed to thrive in a Thiel Capital position?

To thrive at Thiel Capital, you generally need a strong background in finance, investment analysis, and business strategy, often supported by a degree in finance, economics, or a related field. Familiarity with financial modeling tools, Excel, and industry-specific platforms like Bloomberg Terminal is commonly required. Excellent interpersonal skills, intellectual curiosity, and adaptability are vital for building relationships and navigating a dynamic investment environment. These skills are crucial for making informed decisions and contributing effectively to the firm's goal of identifying and supporting high-potential investments.

What is a Thiel Capital job?

A Thiel Capital job typically involves working at the investment firm founded by Peter Thiel, where employees focus on venture capital, private equity, and entrepreneurial projects. Roles can range from investment analysis and portfolio management to operations and strategy. The firm is known for its contrarian approach to investing and seeks individuals with strong analytical skills, independent thinking, and entrepreneurial mindsets.

What cities are hiring for Thiel Capital jobs? Cities with the most Thiel Capital job openings:
What are the most commonly searched types of Thiel Capital jobs? The most popular types of Thiel Capital jobs are:
What states have the most Thiel Capital jobs? States with the most job openings for Thiel Capital jobs include:
Infographic showing various Thiel Capital job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $103,445 per year, or $49.7 per hour.

Member of Technical Staff, Principal Biostatistician

Ataraxis AI

New York, NY โ€ข On-site

$100K - $300K/yr

Full-time

Posted 18 days ago


Job 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 (Ataraxisโ„ข Tau), foundation model (Falcon and Kestrel for digital pathology), and survival analysis research.
Our first clinical products, such as Ataraxisโ„ข 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
  • Design and implement statistical evaluation plans for Ataraxis AI models.
  • Write applications for access to data from completed clinical trials.
  • Evaluate AI models on data from completed clincial trials.
  • Collaborate with a multidisciplinary team of engineers and scientists.
  • Collaborate on research projects with academic and industrial partners.
  • Contribute to regulatory submissions.
  • Present findings to stakeholders, including non-technical audiences, and contribute to scientific publications and presentations.
  • Mentor junior biostatisticians and data scientists.
Qualifications
  • PhD degree in statistics or biostatistics, or equivalent experience. Strong track record of publications in biostatistics.
  • Significant experience in developing statistical plans for analysis of clinical studies, especially data from oncology clinical trials.
  • Strong problem-solving skills, experience with data visualization and reproducible research practices.
  • Excellent skills in Python and R. Proficiency in handling large and complex biomedical datasets, including genomic, imaging, and clinical data.
  • Expertise in survival analysis, Bayesian methods and causality.
  • Familiarity with modern machine learning methods.