Senior Computational Biologist I

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 ~400 employees and continues to grow to match the scope of our ambitions to provide access to better screening and earlier cancer detection.  

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:

At Freenome, we are seeking a Senior Computational Biologist I, Assay Development to help grow the Freenome’s Computational Biology, Assay Development (CBAD) team. As part of our team, you will  apply your scientific expertise to the development of early, noninvasive tests for cancer detection. With a strong background in bioinformatics, statistics, and molecular biology, you will develop, write, and execute analysis plans and reports for the development and characterization of Freenome’s in vitro diagnostic devices and regulatory filings. You will work closely and cross-functionally with many teams, including Regulatory and Quality, Molecular Research and Development, Laboratory Operations, Biostatistics, Computational Science, and Engineering to enable the successful development of multiple molecular assays as part of Freenome’s diagnostic products.

The role reports to a Senior Manager of Computational Biology. This position can be a hybrid or fully remote role. 

What you’ll do:

• Plan and execute development experiments for Freenome’s multiomics cancer screening tests
• Partner cross-functionally with computational, development, regulatory, and quality leaders to develop and execute a regulated development strategy working toward FDA approval
• Use your quantitative skills to develop computational methods and interpret complex experimental results in order to optimize and validate innovative technology for sample collection, preparation, and detection
• Develop and execute appropriate experimental design and analysis plans for Development, Verification, and Validation studies, closely partnering with Biostatistics, Development, and Pre-Analytics teams
• Work closely with molecular and computational research teams developing Freenome’s IVD products for blood-based molecular assays involving cell-free DNA
• Impact patient lives through the development and launch of high quality cancer screening technologies
  

Must haves:

• Post-graduate degree (MS or PhD) in statistics, computational biology, bioinformatics, cancer biology, or related quantitative field
• 3+ years of industry experience
• Experience with molecular biology
• Experience in experimental design and analysis of high-throughput, quantitative technologies
• Familiarity with and ability to select and leverage bioinformatics tools for the above molecular assays
• Experience in applied statistics, such as in hypothesis testing, GLM, and appropriate use of simulation
• Expertise in data analysis and visualization using  R (tidyverse), or Python statistical packages (Numpy, Matplotlib, Pandas), or equivalent, under version control
• Excellent oral and written communication skills to communicate to scientific and broader audiences, with keen attention to detail
• Ability to work on a cross-functional team in our highly collaborative environment, working with both computational and experimental scientists
  

Nice to haves:

• Experience in the develop