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Biotechnology Bioinformatics Jobs (NOW HIRING)

Scisco Genetics

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Bioinformatics Scientist / Genomic Data Analyst

Seattle, WA · On-site

$95K - $115K/yr

We are seeking a highly trained Bioinformatics Scientist with a PhD or equivalent research ... Company Description Scisco Genetics, a Seattle-based biotechnology company, specializes in next ...

LLNL

Bioinformatics Scientist

Livermore, CA

... Biotechnology Division (BBTD). You will * Analyze metagenomic datasets from environmental (e.g ... operational bioinformatics activities. * Advanced experience in large data management such as ...

LLNL

Bioinformatics Scientist

Livermore, CA · On-site

... Biotechnology Division (BBTD). You will * Analyze metagenomic datasets from environmental (e.g ... operational bioinformatics activities. * Advanced experience in large data management such as ...

LLNL

Bioinformatics Scientist

Livermore, CA · On-site

... Biotechnology Division (BBTD). You will * Analyze metagenomic datasets from environmental (e.g ... operational bioinformatics activities. * Advanced experience in large data management such as ...

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Biotechnology Bioinformatics information

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$59.5K

$94.5K

$149.5K

How much do biotechnology bioinformatics jobs pay per year?

As of Jun 21, 2026, the average yearly pay for biotechnology bioinformatics in the United States is $94,474.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,500.00 and $129,500.00 per year, depending on experience, location, and employer.

What pays more, bioinformatics or biotechnology?

Biotechnology roles generally offer higher salaries than bioinformatics positions, especially in industry and research settings, due to the broader scope and demand for laboratory and development skills. Bioinformatics jobs tend to focus on data analysis and computational skills, which can also be well-paid but often have slightly lower average salaries compared to hands-on biotech roles.

What is the difference between Biotechnology Bioinformatics vs Molecular Biologist?

AspectBiotechnology BioinformaticsMolecular Biologist
Required CredentialsBachelor's or Master's in Bioinformatics, Biotechnology, or related fields; often includes programming skillsBachelor's or Master's in Molecular Biology, Genetics, or related fields; laboratory experience essential
Work EnvironmentLaboratories, research centers, biotech companies; focus on data analysis and computational toolsWet labs, research institutions, hospitals; focus on experimental work and biological assays
Employer & Industry UsageBiotech firms, pharmaceutical companies, research institutionsAcademic labs, healthcare, research institutes

Biotechnology Bioinformatics primarily involves analyzing biological data using computational methods, while Molecular Biologists focus on experimental research in biological systems. Both roles are vital in biotech and research sectors but differ in skills and daily tasks.

Is bioinformatics a high paying job?

Bioinformatics professionals often earn competitive salaries, especially with advanced skills in programming, data analysis, and knowledge of biological sciences. Salaries vary based on experience, education, and location, but the field generally offers high earning potential compared to many other entry-level science roles.

How do bioinformatics professionals in biotechnology typically collaborate with laboratory scientists?

Bioinformatics professionals in biotechnology often work closely with laboratory scientists to analyze and interpret complex biological data, such as genomic sequences or protein structures. Collaboration usually involves regular meetings to discuss experimental design, data requirements, and results interpretation. Bioinformaticians may assist in developing custom analysis pipelines, troubleshooting issues, and translating computational findings into actionable insights for experimental work. This teamwork is crucial for advancing research projects and ensuring that computational and experimental efforts are well-integrated.

What jobs can I get with bioinformatics?

Bioinformatics graduates can pursue roles such as bioinformatics analyst, computational biologist, research scientist, or data scientist in biotech, pharmaceutical, or healthcare industries. These positions often require skills in programming, data analysis, and familiarity with biological databases and tools like R, Python, or SQL.

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

To thrive as a Biotechnology Bioinformatics professional, you need a solid background in molecular biology, genetics, and computational data analysis, typically supported by a degree in bioinformatics, biotechnology, or a related field. Familiarity with programming languages (such as Python, R), bioinformatics software (like BLAST, Bioconductor), and experience with databases (e.g., GenBank) are commonly required. Strong problem-solving skills, attention to detail, and effective communication help professionals collaborate and interpret complex biological data. These skills are essential for advancing research, developing innovative solutions, and translating biological data into actionable insights.

What is biotechnology bioinformatics?

Biotechnology bioinformatics is a field that combines biology, computer science, and information technology to analyze and interpret biological data, especially large datasets like DNA sequences, protein structures, and gene expression profiles. Professionals in this area develop and apply computational tools to solve problems in biotechnology, such as drug discovery, genetic engineering, and personalized medicine. Their work enables researchers to make sense of complex biological information, accelerating innovation in healthcare, agriculture, and environmental science.
More about Biotechnology Bioinformatics jobs
What cities are hiring for Biotechnology Bioinformatics jobs? Cities with the most Biotechnology Bioinformatics job openings:
What are the most commonly searched types of Biotechnology Bioinformatics jobs? The most popular types of Biotechnology Bioinformatics jobs are:
What states have the most Biotechnology Bioinformatics jobs? States with the most job openings for Biotechnology Bioinformatics jobs include:
What job categories do people searching Biotechnology Bioinformatics jobs look for? The top searched job categories for Biotechnology Bioinformatics jobs are:
Biotechnology Bioinformatics jobs near you
Infographic showing various Biotechnology Bioinformatics job openings in the United States as of June 2026, with employment types broken down into 94% Full Time, 3% Part Time, 1% Temporary, and 2% Contract. Highlights an 80% Physical, 2% Hybrid, and 18% Remote job distribution, with an average salary of $94,474 per year, or $45.4 per hour.
Bioinformatics Scientist (Discovery Biology)

Bioinformatics Scientist (Discovery Biology)

Neurona Therapeutics

South San Francisco, CA

$133K - $155K/yr

Full-time

Posted 6 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.

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