Computational Biologist, Assay Development

Why join Freenome?

Freenome is a high-growth biotech company on a mission since 2014 to create tools that empower everyone to prevent, detect, and treat their disease. 

To achieve this mission, Freenome is developing next-generation blood tests to detect cancer in its earliest, most treatable stages using our multiomics platform and machine learning techniques. Our first blood test will detect early-stage colorectal cancer and advanced adenomas.

To fight the war on cancer, Freenome has raised more than $1.1B from leading investors including a16z, GV (formerly Google Ventures), T. Rowe Price, BainCapital, Perceptive Advisors, RA Capital Management, Roche, Kaiser Permanente Ventures, and the American Cancer Society’s BrightEdge Ventures. 

Are you ready for the fight? A ‘Freenomer’ is a mission-driven employee who is fueled by the opportunity to make a positive impact on patients' lives, who thrive in a culture of respect and cross collaboration, and whose work makes a significant impact on the company and their career. Freenomers are determined, patient-centric, and outcomes-driven. We build teams around divergent expertise, allowing us to solve problems and ascertain opportunities in unique ways. We are dedicated to advancing healthcare, one breakthrough at a time.

About this opportunity:

As a Computational Biologist, Assay Development at Freenome, you will be critical to the development of early, noninvasive tests for cancer detection. With a strong background in bioinformatics and statistics, 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.

What you’ll do:

• 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 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, RNA, and protein.
• Impact patient lives through the development and launch of high quality cancer screening technologies.
• 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 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, RNA, and protein.
• 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.
• At least 2 years of industry experience;  previous work in the development of diagnostic devices in a regulated environment (PMA, 510(k), CE-IVD) is a plus.
• Experience in experimental design and analysis of high-throughput, quantitative technologies in genomics, epigenomics, proteomics, or transcriptomics (e.g. Hi-C, ATAC-seq, RNA-seq, MS).
• Familiarity with and ability to select and leverage bioinformatics tools for the above molecular assays.
• Experience in applied statistics, such as in hypothesis testing, linear modeling, and goodness-of-fit testing.
• Expertise in data analysis and visualization using Python statistical packages (Numpy, Matplotlib, Pandas), R (tidyverse), 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.

Benefits and additional information:

The US target range of our base salary/hourly rate for new hires is $136,000-$180,000.  You will also be eligible to receive pre-IPO equity, cash bonuses, and a full range of medical, financial, and other benefits dependent on the position offered.  Please note that individual total compensation for this position will be determined at the Company’s sole discretion and may vary based on several factors, including but not limited to, location, skill level, years and depth of relevant experience, and education. We invite you to check out our career page @ https://careers.freenome.com/ for additional company information.  

Freenome is proud to be an equal opportunity employer and we value diversity. Freenome does not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

Applicants have rights under Federal Employment Laws.  

• Family & Medical Leave Act (FMLA)
• Equal Employment Opportunity (EEO)
• Employee Polygraph Protection Act (EPPA)

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