Category: Software Engineering
Company Description: Cloud-based Oncology Platform
Salary: Highly Competitive, Depending on Experience
Position Type: Permanent
Job Number: 10584
At Flatiron, we use real-world oncology data to improve care and accelerate research. Our machine learning teams expand the scope of what we can achieve with our unique data. We build ML-enabled capabilities, platforms, and products that directly impact Flatiron’s mission of learning from every cancer patient.
You’ll lead a team that solves challenging ML and NLP problems using data from millions of patients and hundreds of millions of documents to enable novel research on the impact of cancer treatments in the real world, to identify rare patient populations, to create new tools for measuring the quality of care, and to improve the process for matching patients to clinical trials. You’ll:
You’ll have the opportunity to lead a growing machine learning team having measurable impact in healthcare, get mentorship from senior technical and clinical leaders, and participate in the broader ML-healthcare community through external speaking and publication opportunities.
You're excited by the prospect of rolling up your sleeves and using technology to tackle meaningful problems every day. You’re a kind, passionate, and collaborative problem-solver who seeks and gives honest feedback and values the chance to improve the lives of cancer patients. You:
Bonus points if you:
Andiamo provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Andiamo complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
17 State Street, 8th floor
New York, New York 10004
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