Bioinformatics Scientist I/II/Senior
About The Position
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. We are seeking a Bioinformatics Scientist I/II/Senior to play a pivotal role in designing algorithms to identify early-stage cancer in cell free DNA from plasma. 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.
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 including logistic regression, random forest, and XGBoost
- 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
Nice To Haves
- Familiarity with deep learning approaches for genomic/epigenomic data (e.g., DNA sequence models or foundation models) is a plus
- Experience with relational databases and SQL is a plus
- Experience with AWS services, particularly EC2 and Batch, is a plus
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
Benefits
- stock options
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
Ph.D. or professional degree
