Senior Clinical Data Scientist, Real-World Data (Remote)

Why join Freenome?

Freenome is a high-growth biotech company developing tests to detect cancer using a standard blood draw. To do this, Freenome uses a multiomics platform that combines tumor and non-tumor signals with machine learning to find cancer in its earliest, most-treatable stages. 

Cancer is relentless. This is why Freenome is building the clinical, economic, and operational evidence to drive cancer screening and save lives. Our first screening test is for colorectal cancer (CRC) and advanced adenomas, and it’s just the beginning. 

Founded in 2014, Freenome has ~500 employees and more than $1.1B in funding from key investors, such as the American Cancer Society, Andreessen Horowitz, Anthem Blue Cross, Bain Capital, Colorectal Cancer Alliance, DCVC, Fidelity, Google Ventures, Kaiser Permanente, Novartis, Perceptive Advisors, RA Capital, Roche, Sands Capital, T. Rowe Price, and Verily.  

At Freenome, we aim to impact patients by empowering everyone to prevent, detect, and treat their disease. This, together with our high-performing culture of respect and cross-collaboration, is what motivates us to make every day count. 

Become a Freenomer

Do you have what it takes to be a Freenomer? A “Freenomer” is a determined, mission-driven, results-oriented employee fueled by the opportunity to change the landscape of cancer and make a positive impact on patients’ lives. Freenomers bring their diverse experience, expertise, and personal perspective to solve problems and push to achieve what’s possible, one breakthrough at a time.

About this opportunity:

We are seeking a Senior Clinical Data Scientist to help grow the Freenome Real-world Data Clinical Analytics team. The ideal candidate is intensely curious and driven to identify opportunities for solving critical business needs using a systematic data-first approach.  As an individual contributor, you will own high-impact cross-functional analytical projects from inception to completion, contributing to the continued growth of a high profile technology organization that is changing the landscape on early cancer detection.

The role reports to Senior Manager, Clinical Data Analytics.

What you’ll do:

• Work collaboratively with cross-functional teams to identify and translate diverse business requirements into executable analytical plans for real-world data studies to support product development and commercialization efforts at Freenome
• Evaluate, quickly select and execute on the most applicable data mining and ML methods for the analytical question at hand
• Independently execute and regularly report on all components of the analysis plan, including data exploration, hypothesis creation, algorithm selection and testing, and applied scaling to large datasets using R and/or Python in a cloud-based environment
• Produce clear and intuitive visualizations and presentations to communicate data fitness for use, cleaning and preparation methodology, profiling and analytical results
• Keep projects on track by proactively identifying potential roadblocks, performing regular sanity checks, and independently make necessary course corrections
• Stay up-to-date, experiment with and apply the latest data mining, ML methods and data visualization trends to push the limits on early cancer detection 
• Monitor and troubleshoot data quality issues and work with Informatics team members to provide timely and effective solutions
• Mentor junior staff, advise others, and provide actionable and applicable feedback to manager and co-workers

Must haves:

• Master’s degree plus 6 years experience, or PhD plus 3 years in a quantitative field (Data Science, Computer Science, Engineering,  Biostatistics, etc…)
• 5+ years of applied and reportable experience in data mining and machine learning using EHR, claims, registry or other large healthcare data sets
• 5+ years of advanced programming in R, Python and SQL
• 3+ years of experience working with large datasets in a cloud-based environment
• 1+ years of experience using Jupyter Hub
• Demonstrated experienced in data mining, visualization and applying quantitative methods to identify opportunities and solve real-world healthcare problems with data
• Demonstrated intellectual curiosity combined with a practical approach to finding, analyzing and telling the big data story 
• A strong track record of delivering results on time and inline with business requirements
• Exemplary attention to detail

Benefits and additional information:

The US target range of our base salary for new hires is $157,000 - $240,000. You will also be eligible to receive pre-IPO equity, cash bo