Pay
Lower than most similar jobs
$105K–$120K against $118K–$194K, the middle half of what similar US postings state.
From 3,761 postings in the last year. Stated ranges, not salaries paid.
Bioinformatics/Data Scientist
Frederick, MD
Open 5 months, first seen by us 170 days ago- Pay
USD 105,000–120,000/yearAnnual period assumed — pay source
Salary Range $105,000—$120,000 USD
Read the full posting- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingAnalyze single-cell and bulk RNA sequencing, proteomics and metabolomics data from organoids and tissue
Develop and implement pipelines for data processing, quality control and statistical analysis
Integrate center data with public datasets to benchmark organoids against normal tissue
Work with experimental teams to interpret results and guide protocol optimization
Contribute to manuscripts and present findings at scientific conferences
From the employer’s posting
analyze complex datasets including single-cell RNA sequencing, bulk RNA sequencing, proteomics, and metabolomics data
The position will develop and implement computational pipelines for data processing, quality control, and statistical analysis.
integrating SOM-generated data with publicly available datasets to benchmark organoid characteristics against normal tissue profiles
close collaboration with experimental teams to interpret results and guide protocol optimization
contributing to manuscript preparation and presenting findings at scientific conferences
What you’ll bring
All qualificationsCore experience
- Knowledge of proteomics and metabolomics data analysis workflows is necessary.
Preferred experience
- 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.
Qualification wording
Knowledge of proteomics and metabolomics data analysis workflows is necessary.
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.
Education & alternatives
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.
Posting record
Report an errorOpen 5 monthsWe first saw this posting 170 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- May 21, 2026170 days ago
- Recorded sightings
- 91
- Last seen by us
- Nov 7, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 170
Up longer than most. Similar jobs usually come down between day 7 and day 57.
Well past Axle’s usual: its jobs come down by about day 52.
From 10,552 similar postings that came down, and 10 of Axle’s. Coming down is not always a hire.
Axle is hiring
10 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Data Scientist hiring is picking up
- Takes jobs down at a usual pace
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- R
Where the posting names them
- 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.
Your next step
Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.
Applying through Greenhouse
- No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
- Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.
Already applied? Track this application
Demand for Data Scientist roles
New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
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)
Cover Letter Required — Please Answer the Following Questions and Submit Application at: Bioinformatics/Data Scientist
To be considered for this position, please upload a document as your Cover Letter that answers the six questions below. Applications submitted without this document will not be considered.
- What experience do you have working with large datasets and compute clusters?
- Describe your experience building workflows/pipelines and/or using bioinformatics software and tools to analyze data.
- What programming languages are you comfortable using for bioinformatics data analysis?
- What bioinformatics areas are you familiar with? (e.g., single cell, bulk genomics, transcriptomics, epigenetics, flow, spatial, metagenomics, etc.)
- What life science disciplines do you have experience in? (e.g., immunology, infectious disease, cancer research, etc.)
- Provide examples of basic machine learning/AI concepts and/or how you've applied them in bioinformatics data analysis.
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.
#IND
Salary Range
$105,000—$120,000 USD
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Salary Range $105,000—$120,000 USD
- Location & working pattern
Frederick, MD
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.