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Locum Bioinformatics Data Scientist Jobs (NOW HIRING)

Axle is seeking a Bioinformatics/Data Scientist to join our vibrant team at the National Institutes of Health (NIH) supporting the Standardized Organoid Model Center in Frederick, MD. The ...

Axle is seeking a Bioinformatics/Data Scientist to join our vibrant team at the National Institutes of Health (NIH) supporting the Standardized Organoid Model Center in Frederick, MD. The ...

Axle is seeking a Bioinformatics/Data Scientist to join our vibrant team at the National Institutes of Health (NIH) supporting the Standardized Organoid Model Center in Frederick, MD. The ...

The Bioinformatician will furthermore play a role in performing CellScape data analyses for key ... Communicate findings to scientists, researchers, and stakeholders through clear written reports and ...

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Locum Bioinformatics Data Scientist information

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$37

$54

$74

How much do locum bioinformatics data scientist jobs pay per hour?

As of Jun 15, 2026, the average hourly pay for locum bioinformatics data scientist in the United States is $54.79, according to ZipRecruiter salary data. Most workers in this role earn between $44.95 and $62.50 per hour, depending on experience, location, and employer.

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

AspectLocum Bioinformatics Data ScientistBioinformatics Data Analyst
Required CredentialsTypically requires a master's or PhD in bioinformatics, computational biology, or related fieldsUsually requires a bachelor's or master's degree in bioinformatics, biology, or related areas
Work EnvironmentTemporary, project-based roles often in research institutions, biotech, or pharma companiesPermanent or contract roles mainly in research labs, healthcare, or biotech firms
Employer & Industry UsageUsed by organizations needing short-term expertise for specific projectsUsed for ongoing data analysis, reporting, and supporting research activities

In summary, a Locum Bioinformatics Data Scientist is a temporary, project-focused role requiring advanced degrees, while a Bioinformatics Data Analyst typically holds a similar but often less advanced qualification and works in a more permanent capacity. Both roles are essential in biotech and research settings but differ mainly in duration and scope of responsibilities.

More about Locum Bioinformatics Data Scientist jobs
What cities are hiring for Locum Bioinformatics Data Scientist jobs? Cities with the most Locum Bioinformatics Data Scientist job openings:
What are the most commonly searched types of Bioinformatics Data Scientist jobs? The most popular types of Bioinformatics Data Scientist jobs are:
What states have the most Locum Bioinformatics Data Scientist jobs? States with the most job openings for Locum Bioinformatics Data Scientist jobs include:
Infographic showing various Locum Bioinformatics Data Scientist job openings in the United States as of June 2026, with employment types broken down into 7% Internship, 73% Full Time, and 20% Contract. Highlights an 87% In-person, and 13% Remote job distribution, with an average salary of $113,966 per year, or $54.8 per hour.
Bioinformatics Data Scientist

Bioinformatics Data Scientist

Ansa Biotechnologies

Emeryville, CA • On-site

$131K - $183K/yr

Full-time

Medical, Dental, Vision

Posted 7 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.