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Entry Level Bioinformatics Data Scientist Jobs (NOW HIRING)

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

$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

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

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

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

Billerica, MA · 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

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 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 ...

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All JobsBioinformatics Data Scientist JobsEntry Level Bioinformatics Data Scientist Jobs

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 Jul 14, 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.

Is AI going to replace bioinformatics?

AI is a tool that enhances bioinformatics by automating data analysis and pattern recognition, but it is unlikely to fully replace bioinformatics data scientists. These professionals are essential for interpreting complex biological data, designing algorithms, and integrating AI with biological research. Skills in programming, statistical analysis, and domain knowledge remain critical in this evolving field.

Is there a shortage of bioinformaticians?

The demand for bioinformaticians, including entry-level data scientists in bioinformatics, is growing due to advances in genomics and personalized medicine. Employers often seek candidates with skills in programming, data analysis, and familiarity with tools like R and Python, leading to a favorable job market for qualified professionals.

What is the salary of a bioinformatics data scientist?

The salary of an entry-level bioinformatics data scientist typically ranges from $60,000 to $85,000 annually, depending on location, education, and industry. Professionals with skills in programming, statistical analysis, and experience with tools like R or Python tend to earn higher starting salaries.

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.

Can I get a data scientist job with no experience?

Entry level bioinformatics data scientist positions often require some foundational knowledge of programming, statistics, and bioinformatics tools. While prior experience is beneficial, candidates with relevant coursework, internships, or certifications can qualify for such roles and demonstrate their skills to employers.

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:
What states have the most Entry Level Bioinformatics Data Scientist jobs? States with the most job openings for Entry Level Bioinformatics Data Scientist jobs include:
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 July 2026, with employment types broken down into 1% Locum Tenens, 59% As Needed, 12% Full Time, 2% Part Time, 25% Nights, and 1% Summer. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Bioinformatics/Data Scientist

Bioinformatics/Data Scientist

Axle

Frederick, MD • On-site

$105K - $120K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 23 days ago

Job description

(ID: 2025-0696)


Axle is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to research centers and healthcare organizations nationally and abroad. With experts in biomedical science, software engineering, and program management, we focus on developing and applying research tools and techniques to empower decision-making and accelerate research discoveries. We work with some of the top research organizations and facilities in the country including multiple institutes at the National Institutes of Health (NIH).

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 Standardized Organoid Model Center is an NIH-funded initiative dedicated to advancing organoid research through the development of validated, reproducible, and well-characterized organoid models. The center brings together interdisciplinary teams of researchers to establish standardized protocols, develop quality control measures, and create resources that will benefit the broader organoid research community.

Benefits We Offer:

  • 100% Medical, Dental & Vision Coverage for Employees
  • Paid Time Off and Paid Holidays
  • 401K match up to 5%
  • Educational Benefits for Career Growth
  • Employee Referral Bonus
  • Flexible Spending Accounts:
    • Healthcare (FSA)
    • Parking Reimbursement Account (PRK)
    • Dependent Care Assistant Program (DCAP)
    • Transportation Reimbursement Account (TRN)

Overview

The Bioinformatics/Data Scientist will conduct comprehensive analyses of multi-omics data generated from organoid systems and corresponding normal tissues. This position is central to the SOM Center's research objectives, focusing on characterizing organoid fidelity, identifying biomarkers of successful differentiation, and developing computational frameworks for organoid quality assessment.

Responsibilities

  • The successful candidate will analyze complex datasets including single-cell RNA sequencing, bulk RNA sequencing, proteomics, and metabolomics data from various organoid systems and their tissue counterparts.
  • The position will develop and implement computational pipelines for data processing, quality control, and statistical analysis.
  • A major component of the role involves integrating SOM-generated data with publicly available datasets to benchmark organoid characteristics against normal tissue profiles.
  • The position requires close collaboration with experimental teams to interpret results and guide protocol optimization, as well as contributing to manuscript preparation and presenting findings at scientific conferences.

Required Qualifications

  • Candidates must hold a PhD in bioinformatics, computational biology, biostatistics, or a related quantitative field.
  • Extensive experience with single-cell data analysis, including familiarity with tools such as Seurat, Scanpy, or similar platforms, is essential.
  • Strong programming skills in R and Python are required, along with experience in statistical analysis and data visualization.
  • Knowledge of proteomics and metabolomics data analysis workflows is necessary.

Preferred Qualifications

  • Previous experience analyzing organoid datasets is strongly preferred.
  • Experience with machine learning approaches for biological data, familiarity with pathway analysis tools, and knowledge of developmental biology principles will be considered valuable assets.
  • Experience with high-performance computing environments and version control systems is desirable.

Disclaimer: The above description is meant to illustrate the general nature of work and level of effort being performed by individuals assigned to this position or job description. This is not restricted as a complete list of all skills, responsibilities, duties, and/or assignments required. Individuals may be required to perform duties outside of their position, job description or responsibilities as needed.

The diversity of Axle's employees is a tremendous asset. We are firmly committed to providing equal opportunity in all aspects of employment and will not tolerate any illegal discrimination or harassment based on age, race, gender, religion, national origin, disability, marital status, covered veteran status, sexual orientation, status with respect to public assistance, and other characteristics protected under state, federal, or local law and to deter those who aid, abet, or induce discrimination or coerce others to discriminate.

Accessibility: If you need an accommodation as part of the employment process please contact: careers@axleinfo.com

This role has a market-competitive salary with an anticipated base compensation range listed below. Actual salaries will vary depending on a candidate's experience, qualifications, skills, and location.

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Salary Range
$105,000—$120,000 USD