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Biology Data Science Jobs (NOW HIRING)

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Biology Data Science information

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$37.5K

$122.7K

$196.5K

How much do biology data science jobs pay per year?

As of Jun 8, 2026, the average yearly pay for biology data science in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is a Biology Data Science job?

A Biology Data Science job involves applying data analysis, machine learning, and computational techniques to biological data. Professionals in this field work with large datasets from genomics, proteomics, ecology, or clinical studies to extract insights and drive scientific discoveries. They often use programming languages like Python or R, along with statistical and bioinformatics tools, to analyze complex biological systems. These roles exist in academia, pharmaceuticals, biotechnology, and healthcare.

What are the key skills and qualifications needed to thrive in the Biology Data Science position, and why are they important?

To excel in Biology Data Science, a strong background in biological sciences paired with expertise in statistical analysis, programming (commonly Python or R), and data interpretation is essential. Familiarity with tools such as bioinformatics platforms, machine learning libraries, and data visualization software, along with relevant certifications in data science or computational biology, is highly valuable. Strong problem-solving skills, attention to detail, and effective communication abilities help you collaborate with multidisciplinary teams and present complex findings clearly. These competencies allow professionals to manage and analyze large biological datasets, driving data-driven discoveries and innovation in research or industry settings.

What are common day-to-day responsibilities for professionals in a Biology Data Science role?

Professionals in Biology Data Science typically spend their days acquiring, cleaning, and analyzing large sets of biological data, such as genomic sequences or clinical trial results. They use coding and statistical methods to uncover patterns, develop predictive models, and generate insights to support scientific discoveries or healthcare decisions. Collaboration is frequent, often requiring close coordination with biologists, clinicians, and software engineers to interpret data and ensure research objectives are met. Additionally, clear and concise reporting of findings, often through visualizations or presentations, is a regular part of the job. This blend of data science and biology offers dynamic workdays that can have a direct impact on advancing scientific knowledge and improving patient outcomes.

More about Biology Data Science jobs
What cities are hiring for Biology Data Science jobs? Cities with the most Biology Data Science job openings:
What are the most commonly searched types of Biology Data Science jobs? The most popular types of Biology Data Science jobs are:
What states have the most Biology Data Science jobs? States with the most job openings for Biology Data Science jobs include:
Infographic showing various Biology Data Science job openings in the United States as of May 2026, with employment types broken down into 70% Full Time, 27% Part Time, 1% Temporary, and 2% Contract. Highlights an 74% Physical, 3% Hybrid, and 23% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Bioinformatics Scientist (Discovery Biology)

Bioinformatics Scientist (Discovery Biology)

Neurona Therapeutics

South San Francisco, CA

$133K - $155K/yr

Full-time

Posted 23 days ago


Job description

Bioinformatics Scientist (Discovery Biology)
Neurona Therapeutics is a clinical stage biotechnology company based in South San Francisco focused on the development of neuronal cell-based therapies for neurological diseases. Our ideal candidate is a self-motivated individual who has a passion for scientific research. This is a fantastic opportunity to join a small team, work on transformative science, and take part in building an exciting, science-driven company.
The role:
We are seeking a talented and motivated Bioinformatics Data Scientist to help expand, scale and optimize our single cell transcriptomics and multiomics workflows. In this role, you will collaborate with a small team of experimental and computational R amp;D scientists and play a key part in expanding our pipeline capabilities towards biomarker discovery, characterization of leading cell therapy product candidates, as well as fuel novel product development. The finalist’s job title and leveling will be dependent on experience.
Responsibilities include:
  • Implement and optimize bioinformatics workflows for efficient and accurate single cell RNA sequencing data analysis
  • Collaborate and communicate extensively with multidisciplinary teams within and across departments to conceptualize, execute and analyze experiments in support of internal studies and external collaborations
  • Integrate novel cutting-edge tools and analytical approaches into existing pipelines
  • Contribute to infrastructure and workflow improvements
  • Build and maintain platforms for data visualization
  • Maintain detailed records up to industry standards for reproducible computing (data, code, and environments)
  • Prepare results for internal meetings, grant and patent applications, scientific publications, and regulatory filings

Required Qualifications:
  • PhD degree (or MS + 3 years of experience working in biotech or life sciences) in Bioinformatics, Computer Science, Computer Engineering, Computational Biology, Data Science, Genetics or related field
  • Demonstrated track record, including research publications, working with NGS pipelines
  • Strong understanding and extensive experience with single-cell RNA-sequencing analysis principles, from alignment, assembly, reference mapping, to annotation and visualization
  • Solid foundation in molecular biology and hands-on experience with Illumina sequencing
  • Proficiency in R, Python or similar language, and ability to implement open-source packages
  • Experience with large-scale multiomic data processing, storage, and visualization strategies
  • Competency to read and incorporate newly published approaches for analysis
  • Willingness to expand skill set and contribute to emerging needs in a highly dynamic start-up environment
  • High integrity, great organization and ability to multitask while working within fast-paced timelines
  • Excellent written and verbal communication skills
  • Collaborative team player with a problem-solver mindset
  • Ability to work independently, take ownership over problems and take initiative to improve work processes, develop innovative scientific methodologies and approaches to enhance research productivity

Preferred Qualifications:
  • Experience with single cell ATACseq and spatial transcriptomics
  • General multiomics expertise: genomics, transcriptomics, epigenomics, chromatin dynamics
  • Experience building intuitive web tools for bioinformatics analysis
  • Foundational knowledge of neuroscience, stem cell biology, and developmental biology
  • Familiarity with in vitro directed differentiation paradigms from pluripotent stem cells (especially along the neuronal lineage), and molecular characterization of derived cell types
  • 1+ years of wet lab experience is a plus

This job description is not exhaustive and not intended to cover all activities of the position. Duties, responsibilities and activities may change, or new ones may be assigned at any time with or without notice.
Neurona is proud to be an equal opportunity employer and will consider all qualified applicants for employment.
Interested in learning more about our science and our team? Please visit our website at www.neuronatherapeutics.com.
Neurona is proud to be an equal opportunity employer and will consider all qualified applicants for employment.
Recruitment Fraud Notice
We are aware of active recruitment scams using the Neurona name, where individuals pose as our recruiters or post fake remote job openings and make fraudulent job offers online. Please note, that we will never make an offer of employment without conducting multiple rounds of face-to-face interviews using secure video-conferencing technology. Additionally, we will never ask candidates to cash checks or make any payment to be considered for a position.
If you believe you have been a victim of a phishing scam, please visit the Cybersecurity amp; Infrastructure Security Agency (CISA) at https://www.cisa.gov/be-cyber-smart/report-incident to learn how to report it.