Senior Data Scientist, Imaging Machine Learning Research

Key Skills

Java Programming, Python Programming, SQL, Machine learning techniques, Data science techniques, Deep Learning, Database testing

Job Description

We're looking for a Senior Data Scientist to join our Data Insights team and help us accomplish our mission to improve and extend lives by learning from the experience of every person with cancer. Here's what you need to know about the role, our team and why Flatiron Health is the right next step in your career.

What You'll Do

Data Insights is a diverse and talented team with strong expertise in discovering, prototyping and launching new data products. As a Senior Data Scientist on this team, you will define data strategy, drive technical execution, and help us create the next generation of our real-world evidence data products.

Over the past few years, Flatiron has invested in building a database of real world radiology imaging data to enhance our existing Real World Evidence data sources. We are extremely excited by the depth of information that radiology imaging provides for oncology research, particularly when combined with Flatiron’s other data sources. We are looking for an experienced scientist to explore everything that is possible with ML applied to imaging, from better surrogate endpoints for overall survival, to imaging-based biomarkers for informing treatment decisions. In this role, you will be responsible for developing machine learning models that unlock the value of Flatiron’s radiology data. This may include:

• Prototyping radiomics and deep learning techniques to build clinically relevant machine learning models that can be used in oncology research and patient care
• Developing methods to extract quantified imaging features and standardize data from diverse data sources
• Building a text-detection model to remove PHI from imaging data at scale

In addition to working on these machine learning applications, you will be fully embedded in a cross-functional team which is working to create the long term scientific vision for how radiology imaging and ML can accelerate Real World Evidence research. As part of this team, you will:

• Interface with external life science partners to understand what data they need to conduct high quality research, and advise on the usage of Flatiron data and ML methods
• Immerse yourself in the technical and clinical contexts that inform how health information is documented at the point of care
• Rapidly iterate on early stage products where a hybrid skill set of product intuition, customer empathy and technical expertise is essential

Ultimately, your work will empower our Life Science customers and academic partners to do higher quality research with real-world data.

Who You Are

You have an advanced degree in a quantitative field, experience applying machine learning methods on imaging data, and are an entrepreneurial, customer-focused data scientist, experienced in driving new data capabilities. You are excited by the prospect of tackling meaningful problems each and every day. You are a kind, passionate and collaborative problem-solver who seeks and gives candid feedback, and values the chance to make a real impact on people’s lives. In addition:

• You have a Masters degree or PhD in a quantitative field with a focus on computer vision OR 2+ years experience developing computer vision systems on medical imaging
• You have experience building machine learning models on medical imaging data and are well versed in the latest ML techniques
• You have experience with a broad spectrum of techniques from data science and machine learning and are excited to apply them to solve complex clinical or business problems
• You have worked with open source data science tools and languages (R/Python)
• You are value-oriented and practical in how you apply data to problems, and are excited to translate new research innovations into products and see them come to life outside of a publication
• You have worked in a scientific research environment, and are comfortable with evaluating statistical evidence, the academic publishing process, collaborating with scientific stakeholders (e.g. biostatisticians, research oncologists)
• You exemplify Flatiron values and are eager to be a cultural champion for them: you are vocally self-critical, willing to sit on the floor, and focused on solving problems that matter

If this sounds like you, you'll fit right in at Flatiron.

Why You Should Join Our Team

A career at Flatiron is a chance to work with everyone involved in the future of cancer care and research—all under one roof. Researchers, data scientists, designers, clinicians, technologists and many more all work together to improve cancer care and accelerate research.

At Flatiron, we strive to build and maintain an environment where employees from all backgrounds are valued, respected and have the opportunity to succeed. You'll also find a culture of continuous learning, broad and inclusive employee support offerings, and a commitment to supporting our team members in all aspects of their lives—at home, at work and everywhere in between. We offer:

• Flatiron University training curriculum which includes presentation skills, meeting mastery, coding languages and more
• Career coaching opportunities
• Hackathons for all employees (not just our engineers!)
• Professional development benefit for attending conferences, industry events and external courses
• Work/life autonomy via flexible work hours and flexible paid time off
• Generous parental leave (16 weeks for either parent)
• Back-up child care
• Employee Resource Groups (ERGs) that encourage our employees to share their unique experiences and perspectives
• Flatiron-sponsored fitness classes

Flatiron Health is proud to be an Equal Employment Opportunity employer.

We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.