Entry Level Bioinformatics Jobs
New grad bioinformatics jobs welcome recent graduates and entry level candidates with little to no experience, where a strong portfolio, thesis project, or internship can carry more weight than years on a resume. Most openings mix on-site and remote settings across Biotechnology & Pharmaceuticals, Education, and Science & Research, with employers like Stowers Institute for Medical Research, Moderna, and Zymo Research hiring at this level now.
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Showing 5 of 16+ Entry Level Bioinformatics jobs
INTRODUCTION
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.
Position Summary: 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.
Key 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
Qualifications
- 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)
- Familiarity with deep learning approaches for genomic/epigenomic data (e.g., DNA sequence models or foundation models) is a plus
- 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
- Experience with relational databases and SQL is a plus
- Experience with AWS services, particularly EC2 and Batch, is a plus
The anticipated salary range for this position is $125,000 to $180,000. The actual salary will be dependent on various factors that may include experience level, knowledge, skills, and abilities.
INTRODUCTION
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.
Position Summary: 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.
Key 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
Qualifications
- 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)
- Familiarity with deep learning approaches for genomic/epigenomic data (e.g., DNA sequence models or foundation models) is a plus
- 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
- Experience with relational databases and SQL is a plus
- Experience with AWS services, particularly EC2 and Batch, is a plus
The anticipated salary range for this position is $125,000 to $180,000. The actual salary will be dependent on various factors that may include experience level, knowledge, skills, and abilities.
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Entry Level Bioinformatics Jobs: Frequently Asked Questions
How do I get an entry level bioinformatics job?
Start by building a portfolio of reproducible analyses on GitHub, even from coursework or personal projects, since most entry level bioinformatics employers evaluate demonstrated technical skill over years of experience. Familiarity with Python or R, sequence analysis pipelines, and tools like BLAST or BWA gives candidates a clear edge. Applying to roles that list internship experience as acceptable, not required, is the most direct path for new graduates.
Which companies hire entry level bioinformaticss?
Companies hiring entry level bioinformaticss right now include Stowers Institute for Medical Research, Moderna, and Zymo Research, based on current listings on Migrate Mate as of September 2026. At this level, hiring covers pharmaceutical and biotech firms, academic medical centers, genomics startups, and contract research organizations that regularly onboard junior analysts and research associates fresh out of graduate or undergraduate programs.
Are there remote entry level bioinformatics jobs?
Yes, though availability varies by employer and role type. About 29% of entry level bioinformatics openings are remote or hybrid as of September 2026, with fully remote positions more common at genomics platforms and biotech startups than at hospital systems or wet-lab-adjacent research teams that expect some on-site presence for cross-functional collaboration.
Are these new grad bioinformatics jobs?
Yes, the entry level bioinformatics openings on this page include new grad, recent graduate, and junior roles. A posting is new-grad friendly when it welcomes zero to two years of experience, accepts internship or academic project work in place of full-time history, or lists a completed degree as the primary qualification. Roles titled junior bioinformatics analyst or research associate typically fall into this category.
Which industries hire the most entry level bioinformaticss?
Entry Level bioinformatics roles concentrate in Biotechnology & Pharmaceuticals, Education, and Science & Research, based on current listings on Migrate Mate as of September 2026. These sectors drive entry level hiring because they rely on large-scale genomic, proteomic, and clinical datasets that require junior analysts who are trained in computational biology pipelines but don't yet need senior-level independent research experience.