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Bioinformatics Data Analyst Jobs (NOW HIRING)

The Bioinformatician will furthermore play a role in performing CellScape data analyses for key customer collaborations and/or contract research projects. The ideal candidate will have a solid ...

The Bioinformatician will furthermore play a role in performing CellScape data analyses for key customer collaborations and/or contract research projects. The ideal candidate will have a solid ...

Scientific Data Analyst

Arlington, VA · On-site

$110K - $115K/yr

In this role, you will provide computational, data science, and bioinformatics support for Office ... You will develop and maintain NIH databases, build analytical tools, support computational modeling ...

The Bioinformatician will furthermore play a role in performing CellScape data analyses for key customer collaborations and/or contract research projects. The ideal candidate will have a solid ...

We are seeking a talented Bioinformatics Analyst to join our dynamic, multi-disciplinary team that ... Prep and Process data through GATC platform based on customer or internal end user requirements.

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Bioinformatics Data Analyst information

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How much do bioinformatics data analyst jobs pay per hour?

As of Jul 19, 2026, the average hourly pay for bioinformatics data analyst in the United States is $45.82, according to ZipRecruiter salary data. Most workers in this role earn between $36.06 and $49.04 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Bioinformatics Data Analyst, and why are they important?

To thrive as a Bioinformatics Data Analyst, a solid background in biology, statistics, and programming (often with a degree in bioinformatics, computational biology, or a related field) is essential. Proficiency with tools such as R, Python, SQL, and bioinformatics software like BLAST or Bioconductor, as well as experience with large datasets and relevant certifications, is typically required. Strong analytical thinking, attention to detail, and effective communication skills help analysts interpret complex data and collaborate with interdisciplinary teams. These skills ensure accurate data analysis, meaningful biological insights, and successful project outcomes in research or clinical settings.

What is the difference between Bioinformatics Data Analyst vs Bioinformatics Scientist?

AspectBioinformatics Data AnalystBioinformatics Scientist
Required CredentialsBachelor's or Master's in Bioinformatics, Biology, or related fieldsMaster's or PhD in Bioinformatics, Computational Biology, or related fields
Work EnvironmentData analysis teams, research labs, healthcare settingsResearch projects, development of algorithms, scientific publications
Employer & Industry UsageBiotech companies, healthcare institutions, research organizationsAcademic institutions, biotech firms, pharmaceutical companies
Common Search & ComparisonOften compared for data analysis roles in bioinformaticsMore research-focused, involved in algorithm development

Bioinformatics Data Analysts primarily focus on analyzing biological data using existing tools, while Bioinformatics Scientists develop new algorithms and conduct research. Both roles require strong computational skills, but the Scientist role typically involves more advanced research and innovation.

How do Bioinformatics Data Analysts typically collaborate with researchers and other team members in a multidisciplinary environment?

Bioinformatics Data Analysts often work closely with biologists, clinicians, and software engineers, acting as a bridge between experimental research and computational analysis. Collaboration usually involves interpreting experimental data, discussing analytical approaches, and presenting findings in a way that's accessible to non-technical stakeholders. Regular team meetings and project updates are common, and strong communication skills are essential for translating complex data insights into actionable information for the broader research team. This multidisciplinary teamwork fosters innovation and ensures that analyses align with the goals of larger research projects.

What are Bioinformatics Data Analysts?

Bioinformatics Data Analysts are professionals who use computational tools and methods to analyze biological data, such as genomic sequences or protein structures. They work at the intersection of biology, computer science, and statistics to interpret complex datasets and draw meaningful insights for research or clinical applications. Their work supports areas like drug discovery, personalized medicine, and evolutionary biology. Typically, they collaborate with biologists, software engineers, and statisticians to solve complex biological problems. Strong analytical skills and proficiency with data analysis software are essential for this role.
More about Bioinformatics Data Analyst jobs
What cities are hiring for Bioinformatics Data Analyst jobs? Cities with the most Bioinformatics Data Analyst job openings:
What states have the most Bioinformatics Data Analyst jobs? States with the most job openings for Bioinformatics Data Analyst jobs include:
Infographic showing various Bioinformatics Data Analyst job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $95,308 per year, or $45.8 per hour.
Bioinformatics Scientist (Discovery Biology)

Bioinformatics Scientist (Discovery Biology)

Neurona Therapeutics

South San Francisco, CA

$133K - $155K/yr

Full-time

Re-posted 4 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.