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Entry Level Bioinformatics Data Scientist Jobs (NOW HIRING)

Axle

Bioinformatics/Data Scientist

Frederick, MD

$105K - $120K/yr

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

Bioinformatics/Data Scientist

Frederick, MD · On-site

$105K - $120K/yr

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

Bioinformatics/Data Scientist

Frederick, MD · On-site

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 ...

Bruker

Bruker Spatial Biology is looking for an entry-level Bioinformatician to join our R&D department ... The Bioinformatician will furthermore play a role in performing CellScape data analyses for key ...

Bruker

Bruker Spatial Biology is looking for an entry-level Bioinformatician to join our R&D department ... The Bioinformatician will furthermore play a role in performing CellScape data analyses for key ...

Bruker

Scientist, Bioinformatics

Saint Louis, MO · On-site

Bruker Spatial Biology is looking for an entry-level Bioinformatician to join our R&D department ... The Bioinformatician will furthermore play a role in performing CellScape data analyses for key ...

Bruker Corporation

Scientist, Bioinformatics

Bruker Spatial Biology is looking for an entry-level Bioinformatician to join our R&D department ... The Bioinformatician will furthermore play a role in performing CellScape data analyses for key ...

UNAVAILABLE

Bruker Spatial Biology is looking for an entry-level Bioinformatician to join our R&D department ... The Bioinformatician will furthermore play a role in performing CellScape data analyses for key ...

Bruker

Scientist, Bioinformatics

Saint Louis, MO

Bruker Spatial Biology is looking for an entry-level Bioinformatician to join our R&D department ... The Bioinformatician will furthermore play a role in performing CellScape data analyses for key ...

Bruker

Bruker Spatial Biology is looking for an entry-level Bioinformatician to join our R&D department ... The Bioinformatician will furthermore play a role in performing CellScape data analyses for key ...

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Entry Level Bioinformatics Data Scientist information

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$37.5K

$122.7K

$196.5K

How much do entry level bioinformatics data scientist jobs pay per year?

As of Jun 15, 2026, the average yearly pay for entry level bioinformatics data scientist 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 does an Entry Level Bioinformatics Data Scientist do?

An Entry Level Bioinformatics Data Scientist applies computational and statistical techniques to analyze biological data, such as DNA sequences or gene expression profiles. They work with large datasets to identify patterns, generate insights, and contribute to research in fields like genomics, drug discovery, or personalized medicine. Their tasks often include data cleaning, developing algorithms, running analyses, and visualizing results for scientific teams. They typically collaborate with biologists, statisticians, and software engineers to solve complex biological problems.

What are the key skills and qualifications needed to thrive as an Entry Level Bioinformatics Data Scientist, and why are they important?

To thrive as an Entry Level Bioinformatics Data Scientist, you need a solid background in biology, statistics, and computer science, often supported by a relevant degree in bioinformatics or a related field. Familiarity with programming languages such as Python or R, experience with bioinformatics tools like BLAST or Bioconductor, and knowledge of data analysis platforms are typically required. Strong problem-solving skills, attention to detail, and effective communication are important soft skills for interpreting complex data and collaborating with multidisciplinary teams. These skills and qualifications are essential for accurately analyzing biological data, generating meaningful insights, and contributing to research or clinical projects.

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

AspectEntry Level Bioinformatics Data ScientistEntry Level Bioinformatics Analyst
Required CredentialsBachelor's in Bioinformatics, Biology, Computer Science; some roles prefer internships or certificationsBachelor's in Bioinformatics, Biology, or related field; similar educational background
Work EnvironmentResearch labs, biotech companies, healthcare institutions, academic settingsResearch labs, healthcare, biotech firms, academic institutions
Employer & Industry UsageUsed in biotech, pharma, healthcare, research institutionsCommon in research, healthcare, biotech sectors

Both roles require similar educational backgrounds and work environments, focusing on analyzing biological data. The main difference is that a Bioinformatics Data Scientist often involves more advanced data modeling, machine learning, and statistical analysis, whereas a Bioinformatics Analyst typically concentrates on data processing, visualization, and reporting. Entry Level Bioinformatics Data Scientists tend to handle more complex computational tasks, but both roles serve essential functions in biological research and industry applications.

What are some typical challenges faced by entry level bioinformatics data scientists during their first year on the job?

Entry level bioinformatics data scientists often encounter challenges such as adapting to complex biological datasets, learning to use specialized bioinformatics tools, and understanding the nuances of interdisciplinary collaboration with biologists and clinicians. Balancing data analysis with ongoing skill development in programming and statistics is another common hurdle. However, most teams provide mentorship and training to help new hires acclimate and build confidence in tackling real-world research problems.
More about Entry Level Bioinformatics Data Scientist jobs
What cities are hiring for Entry Level Bioinformatics Data Scientist jobs? Cities with the most Entry Level 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:
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What job categories do people searching Entry Level Bioinformatics Data Scientist jobs look for? The top searched job categories for Entry Level Bioinformatics Data Scientist jobs are:
Entry Level Bioinformatics Data Scientist jobs near you
Infographic showing various Entry Level Bioinformatics Data Scientist job openings in the United States as of June 2026, with employment types broken down into 18% Locum Tenens, 34% As Needed, 4% Full Time, 15% Temporary, 18% Contract, and 11% Nights. Highlights an 80% Physical, 2% Hybrid, and 18% Remote job distribution, with an average salary of $122,738 per year, or $59 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.

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