Product Manager, Machine Learning
Apply NowCompany: Flatiron Health
Location: New York, NY 10025
Description:
We're looking for a Product Manager to help us accomplish our mission of improving lives by learning from the experience of every cancer patient. Here's what you need to know about the role, our team, and why you'll love making Flatiron Health the next step in your career.
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:
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 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'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.
Where you'll work
In this hybrid role, you'll have a defined work location that includes work from home and 3 office days set by you and your team. For more information on our approach to hybrid work, please visit the how we work website.
Life at Flatiron
At Flatiron Health, we offer a full range of benefits to support you and your loved ones so you can focus your working hours on improving cancer care and accelerating cancer research, and your non-working hours on everything else life has to offer:
In addition to our robust benefit offerings, visit our Life at Flatiron page to learn how we support continuous learning and celebrate Diversity in the workplace.
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
- 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 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 have excellent client facing and internal communication skills, detail orientation, and ability to execute
- You have experience with biopharma, patient-level data or oncology
- Experience working with data science tools like R, SAS, or SQL is a bonus
- 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
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.
Where you'll work
In this hybrid role, you'll have a defined work location that includes work from home and 3 office days set by you and your team. For more information on our approach to hybrid work, please visit the how we work website.
Life at Flatiron
At Flatiron Health, we offer a full range of benefits to support you and your loved ones so you can focus your working hours on improving cancer care and accelerating cancer research, and your non-working hours on everything else life has to offer:
- Work/life autonomy via flexible work hours and flexible paid time off
- Comprehensive compensation package
- 401(k) contribution to help you reach your retirement planning goals
- Financial health resources including 1:1 financial advice
- Mental well-being tools and services
- Parental benefits and policies including family-building care and generous leave
- Path to parenthood programs supporting fertility, adoption and surrogacy
- Travel support for safe healthcare services
In addition to our robust benefit offerings, visit our Life at Flatiron page to learn how we support continuous learning and celebrate Diversity in the workplace.