Bioinformatics Scientist I/II

Job Title: Bioinformatics Scientist I/II

FLSA: Exempt

Location: San Diego, CA (Onsite)

Position Summary: ClearNote Health is an early cancer detection company focused on the development and commercialization of non-invasive epigenomic tests to detect cancer through a standard blood draw, earlier than existing methods and when the disease is still treatable. Leveraging its novel liquid biopsy technology, ClearNote Health is initially focused on high-mortality cancers with the greatest need for early detection, starting with pancreatic and ovarian cancers.

In this high-impact position, you will work as part of a collaborative team to analyze epigenomic and genomic features from cell-free DNA and develop classification algorithms for early cancer detection. You'll contribute across the full lifecycle-from experimental design and data analysis to production-ready code and results presentation to cross-functional teams.

Responsibilities:

• Design and analyze experiments using ClearNote's epigenomics platform
• Develop and apply machine learning techniques tailored to the platform's unique data characteristics
• Analyze clinical genomics data to train models that make clinically relevant predictions (e.g., cancer detection from epigenomic profiles)
• Apply appropriate statistical methods to support rigorous, scientifically sound decision-making
• Evaluate and recommend software tools for epigenomic data analysis
• Write clean, maintainable code following software engineering best practices
• Present findings clearly, concisely, and quantitatively to cross-functional stakeholders
• Communicate hypotheses, data insights, and experimental designs to colleagues, collaborators, and advisors
• Embody and uphold ClearNote's core values-visionary, pioneering, truth-seeking, driven, honest and considerate communication, and a commitment to diversity-while operating with transparency and integrity

Requirements:

• PhD or equivalent experience in Biophysics, Genetics, Genomics, Biochemistry, Molecular Biology, or a related field with a strong computational focus
• Experience working with genomics technologies, preferably with cell free DNA
• Ability to interpret biological data quantitatively using principles of molecular biology and biochemistry
• Proficiency in statistical methods for supervised machine learning
• Experience developing neural network models, particularly multi-layer perceptrons (MLPs)
• Understanding of common parametric and non-parametric statistical tests
• Strong programming skills in Python and/or R
• Experience using Git for version control in a collaborative environment (branching, merging, pull requests)
• Strong communication skills - both written and verbal - with the ability to explain complex concepts to cross-functional teams
• Proficiency in relational databases and SQL
• Experience with AWS services, particularly EC2 and Batch, is preferred

The anticipated salary range for this position is $127,667 to $187,833. The actual salary will be dependent on various factors that may include experience level, knowledge, skills and abilities.

ClearNote Health offers a competitive salary and benefits package.