What are the responsibilities and job description for the Biostatistician position at ataraxis.ai?
About Ataraxis AI
Ataraxis AI is a VC-backed start-up working at the intersection of multi-modal AI, oncology, and precision medicine. We are building cutting-edge diagnostic tools to assist physicians in selecting the most optimal treatments for their patients.
We are a team of AI researchers, medical doctors and operators advised by a team of advisors who are pioneers in their respective fields, including the AI godfather, Yann LeCun, and oncologists at top cancer research institutes.
At Ataraxis, you will have a unique opportunity to shape not just the future of our company, but the future of healthcare. We are looking to bring on highly motivated candidates to fulfill this mission.
We operate with a flat organizational structure where every team member is expected to actively contribute. Leadership roles are earned by those who demonstrate initiative and deliver consistently high performance. Strong work ethic and the ability to prioritize effectively are essential. All candidates must communicate clearly, sharing insights accurately and concisely with teammates. We don’t use recruiters — each application is reviewed personally by a relevant team member and/or founders.
Responsibilities
Design and implement statistical evaluation plans for Ataraxis AI models
Collaborate on research projects with academic and industrial partners
Contribute to the preparation of regulatory submissions
Present findings to stakeholders, including non-technical audiences, and contribute to scientific publications and presentations
Qualifications
MS degree in statistics or biostatistics, PhD preferred. Preference will be given to candidates with a strong track record of publications in biostatistics
Significant experience in developing statistical plans for analysis of clinical studies, especially data from clinical trials
Strong problem-solving skills and experience with data visualization
Excellent skills in Python and R
Familiarity with modern machine learning methods
Compensation Range: $100K - $170K
Salary : $100,000 - $170,000