Job description
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:
As a Staff Bioinformatics Research Engineer, you will work on Freenome’s computational platform for R&D, developing and deploying bioinformatics research software and tooling. As part of an interdisciplinary R&D team, you will work in close collaboration with computational biologists, machine learning scientists and software engineers. You will develop cutting edge solutions at the intersection of machine learning, genetic sequencing technology, biological data, and distributed systems. These contributions will drive our mission to diagnose cancer at its most actionable and early stages.
What you’ll do:
List the job responsibilities that are important and impactful for this role
Drive the development of the computational research platform so that bioinformatics, in conjunction with other functions such as machine learning and model development, will enable rapid evaluation of scientific hypotheses
Connect the biological research that leverage computational biology fundamentals related to NGS or multi-omic data sources to the production system that will process patient samples at scale
Work with stakeholders at the intersection of computational biology, machine learning research, software engineering and biological data
Lead the development of Freenome’s bioinformatics research framework and internal tools
Build for significant growth and scaling challenges as we transition from research to product development
Engineer robust and reproducible data pipelines that enable cutting edge liquid biopsy research
Improve the reliability and scalability of our science platform as it grows
Develop software and workflows that support a long term vision for bioinformatics research and production
Enable data driven science discoveries in biology and healthcare
Must haves:
PhD in a quantitative field such as computational biology, cancer biology, statistics, bioinformatics, computer science, or B.S./M.S. and equivalent experience
5+ years of experience with bioinformatics infrastructure, automation, and software engineering
Robust history of delivering major technical projects or analyses, including experience in a technical leadership role
Strong computational and programming skills, in Python or equivalent, including thorough experience with large scale systems and user bases
Fundamental understanding of bioinformatics, including the central dogma, molecular or cancer biology, or familiarity with regulatory processes.
Experience in NGS data analysis and bioinformatic pipelines.
Experience with containerized cloud computing environments such as Docker in GCP, Azure, or AWS
Experience in a production software engineering environment, including the use of automated regression testing, version control, and deployment systems
Demonstrated ability to partner with laboratory and computational scientists to translate scientific roadmaps into concrete products
Ability to operate in a highly cross-functional environment where collaboration across disciplines is absolutely necessary
Nice to haves:
Experience in applying statistical methods and algorithms to large-scale datasets
Experience in analyzing one or more of the following biological modalities: epigenomics, proteomics (including mass spectrometry), transcriptomics (RNA-seq).
Track record of selflessly supporting and growing highly effective teams
Benefits and additional information:
The US target range of our base salary for new hires is $188,275 - $288,500. You will also be eligible to receive pre-IPO equity, cash bonuses, and a full range of medical, financial, and other benefits depending 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 @ _freenome.com/job-openings/_ 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)
#LI-Remote
