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Biotechnology Bioinformatics Jobs (NOW HIRING)

Bruker Spatial Biology is a rapidly growing and fast-paced biotechnology company with an R&D group ... The Bioinformatician will furthermore play a role in performing CellScape data analyses for key ...

Bruker Spatial Biology is a rapidly growing and fast-paced biotechnology company with an R&D group ... The Bioinformatician will furthermore play a role in performing CellScape data analyses for key ...

S. /PhD in Computational Biology, Bioinformatics, Computer Science or a related field with 3+ yrs industry experience (biotech start-up ideal) • Strong proficiency in Python and JavaScript, with ...

... biotech customers and stakeholders. A highly motivated scientist with broad expertise and experience in bioinformatics, computational biology, transcriptomics, proteomics and multi-omics would be an ...

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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 20, 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:
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 Data Scientist

Bioinformatics Data Scientist

Ansa Biotechnologies

Emeryville, CA • On-site

$131K - $183K/yr

Full-time

Medical, Dental, Vision

Posted 11 days ago


Job description

Job Summary:
Ansa is seeking a highly skilled and motivated Bioinformatics Data Scientist to join our team. In this role you will work in collaboration with R&D scientists to understand experimental, manufacturing, and commercial data in the context of DNA sequence features. You will design and build data analysis pipelines that drive further innovation of Ansa's enzymatic DNA synthesis products. Embedded on a team of bioinformatics data scientists and software engineers, you will integrate the tools you build into our production software ecosystem. This work will improve manufacturing outcomes, enhance product development efforts, and feed insights back to Ansa's commercial strategy.
This role requires a strong background in the analysis and interpretation of DNA data and some experience in implementing data science workflows at scale. The ideal candidate has a Ph.D. and 2+ years of experience in biotech or a related industry.
Responsibilities:
  • Analyze data and present findings to drive decision-making in R&D, manufacturing pipeline improvement, and product development.
  • Critically evaluate statistical learning, AI, and bioinformatics tools for their appropriate application to experimental and production data.
  • Design, develop, and deploy scalable and robust bioinformatics pipelines.
  • Collaborate with cross-functional teams to understand requirements and rapidly implement solutions from prototype/concept to production deployment.
  • Ensure data integrity, traceability, accuracy, and security.
  • Use software engineering best practices, including distributed version control, participation in team code review, and automation for building, testing, and deploying production code.

Qualifications:
  • Ph.D. in Bioinformatics, Computational Biology, Biophysics, Computer Science, or a related quantitative field. Candidates with equivalent industry experience and demonstrated quantitative skill set will be considered.
  • Proven track record in analyzing, interpreting, and modeling biological data, including high-throughput sequencing data, using Python for data manipulation, analysis, and visualization.
  • Proficient in using a wide range of bioinformatics tools and resources for DNA sequence analysis, including experience using statistical, machine learning, and AI methods in molecular biology and genomics.
  • Demonstrated experience shipping production code in an industry setting using software engineering best practices.
  • Experience deploying automated analysis pipelines using cloud computing resources.
  • Excellent problem-solving, communication, and collaboration skills.
  • Desire to deliver high-quality results in a fast-paced, dynamic environment.

What We Offer:
  • Competitive salary and equity.
  • Generous benefits package including health, dental, and vision.
  • Ongoing professional development and training opportunities.
  • A collaborative and innovative work environment.
  • The opportunity to be part of a company at the forefront of synthetic biology and innovation.

San Francisco Bay Area Pay Range
$131,250 - $183,750 - Depending upon experience
Ansa Biotechnologies is an Equal Opportunity Employer.
All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
At Ansa, we're building a community of intelligent and passionate humans that will help us change biotechnology research with our enzymatic DNA synthesis technology. We believe that challenging and trusting one another, and continuously learning are essential to our success. We believe that building diverse, inclusive and psychologically safe spaces are essential to a community culture that yields the happiest colleagues and friends, and the highest quality research.
As we are growing rapidly, this is an ever present goal: hiring the best people while building diversity in thought, experience and background within our team. While the biotechnology space can feel limited in BIPOC, non-binary and even female representation, we endeavor to make hiring decisions that will continue to grow and support our team in the direction of cultural diversity and sustainability.