Product Manager, ML

Reimagine the infrastructure of cancer care within a community that values integrity, inspires growth, and is uniquely positioned to create a more modern, connected oncology ecosystem.
We're looking for a talented and driven Product Manager to help us accomplish our mission to improve and extend lives by learning from the experience of every person with cancer. Are you ready to be the next changemaker in cancer care?
What You'll Do
In this role, you'll work with the Discovery team, a cross-functional team dedicated to building and scaling real-world research datasets leveraging Machine Learning (ML) and Natural Language Processing (NLP). You'll develop roadmaps, strategies, and implementation plans for some of our most cutting-edge scientific work with real-world patient data. In particular, you'll:

• Lead the design, development, and rollout of data-driven products for cancer researchers (life sciences companies, academic researchers, regulatory agencies, etc.)
• Partner with cross-functional teams to create and execute a strategy to leverage ML/NLP to build new real world datasets and sustainably bend the cost curve for data curation
• Recognize ambiguous or undefined problems as opportunities; be intellectually curious and hungry to learn about new areas
• Be the voice of our customers; empathize with their research questions.
• Work across a broad range of talented colleagues, including software developers, data scientists, oncologists, quantitative scientists, and clinical operations specialists
• Gather requirements through partnership with stakeholders and user research to inform product roadmaps and priorities
• Balance business goals, technical constraints, and user needs when making product decisions
• Become an authority in the oncology and research industry by interviewing customers, advisors, expert colleagues and industry partners to teach our rapidly growing team about the biggest opportunities for our company and products

This is a great opportunity to take on a role in our cutting-edge scientific work, and to collaborate with industry leading experts in a number of fields.
Who You Are
You're a Product Manager with at least 3-5 years of experience in a software, SaaS, or healthcare technology environment. You have been leading complex projects end-to-end in a product, research, or data-oriented discipline. You're a kind, passionate, and collaborative problem-solver who seeks and gives candid feedback, and values the chance to make an important impact.

• You have BA/BS degree in a technical field, or equivalent practical experience
• You're comfortable in ambiguity, with an ability to tackle vague technical challenges first and bring clarity back to your team and stakeholders
• You have excellent client facing and internal communication skills, detail orientation, and ability to execute
• You have experience with biopharma, patient-level data or oncology
• You have strong analytical skills with the ability to interpret and act on data insights
• You have strong project management skills and excellent organizational and communication skills
• You have a strong understanding of software projects' development, roll-out, and support risks
• You have strong technical aptitude and an ability to understand technical designs, challenges, and risks
• Experience working with ML/AI or data science tools like R, SAS, or SQL is a bonus

You're also excited by the prospect of rolling up your sleeves and using technology to tackle meaningful problems each and 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.
Preferred Primary Location: NY office
The annual pay range reflected above for this position is based on the preferred primary location of the role which is listed in the job description. Salary ranges for other locations vary from the range reflected above. Base pay offered may vary depending on job-related knowledge, skills, and experience. An annual bonus and equity may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered.