Time since we first saw it
Day 14
Similar jobs usually come down between day 7 and day 57.
At Axle, jobs usually come down by about day 52.
From 10,558 similar postings that came down, and 10 of Axle’s. Coming down is not always a hire.
Salary Range $105,000—$120,000 USDRead the full posting
Listed location: RemoteRead the full posting
Analyze single-cell RNA, bulk RNA, proteomics and metabolomics data from organoids and tissues
Develop and implement computational pipelines for data processing, quality control and statistics
Integrate SOM data with public datasets to benchmark organoids against normal tissue
Consult with wet-lab teams on experimental design and protocol optimization
Contribute to manuscripts and present findings at scientific conferences
Analyze complex datasets including single-cell RNA sequencing, bulk RNA sequencing, proteomics, and metabolomics data
Develop and implement computational pipelines for data processing, quality control, and statistical analysis.
Integrate SOM-generated data with publicly available datasets in order to benchmark organoid characteristics against normal tissue profiles.
Collaborate with experimental wet-lab on experimental design to better optimize protocols
Contribute to manuscript preparation and present findings at scientific conferences.
Prior experience analyzing organoid datasets.
Experience with machine learning approaches for biological data, familiarity with pathway analysis tools, and knowledge of developmental biology principles.
Experience with high-performance computing environments and version control systems.
Required Qualifications - Education. Doctoral degree (PhD) in bioinformatics, computational biology, biostatistics, or a related quantitative field. - Single-cell analysis. Extensive experience with single-cell data analysis, including familiarity with tools such as Seurat, Scanpy, or comparable platforms.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 14
Similar jobs usually come down between day 7 and day 57.
At Axle, jobs usually come down by about day 52.
From 10,558 similar postings that came down, and 10 of Axle’s. Coming down is not always a hire.
10 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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.
- Single-cell analysis. Extensive experience with single-cell data analysis, including familiarity with tools such as Seurat, Scanpy, or comparable platforms. - Programming. Strong programming proficiency in R and Python, together with experience in statistical analysis and data visualization. - Omics workflows. Basic knowledge of proteomics and metabolomics data.
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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.
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.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
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).
Benefits We Offer:
Position Overview
The Bioinformatics / Data Scientist will conduct comprehensive analyses of multi-omics data generated from organoid systems and corresponding normal tissues. The 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.
Key Responsibilities
Multi-omics analysis. Analyze complex datasets including single-cell RNA sequencing, bulk RNA sequencing, proteomics, and metabolomics data from a range of organoid systems and their tissue counterparts.
Experimental design consultation: Collaborate with experimental wet-lab on experimental design to better optimize protocols for knowledge discovery and performance.
Pipeline development. Develop and implement computational pipelines for data processing, quality control, and statistical analysis.
Benchmarking. Integrate SOM-generated data with publicly available datasets in order to benchmark organoid characteristics against normal tissue profiles.
Collaboration and interpretation. Work closely with experimental teams to interpret results and guide protocol optimization.
Dissemination. Contribute to manuscript preparation and present findings at scientific conferences.
Required Qualifications
Education. Doctoral degree (PhD) in bioinformatics, computational biology, biostatistics, or a related quantitative field.
Single-cell analysis. Extensive experience with single-cell data analysis, including familiarity with tools such as Seurat, Scanpy, or comparable platforms.
Programming. Strong programming proficiency in R and Python, together with experience in statistical analysis and data visualization.
Omics workflows. Basic knowledge of proteomics and metabolomics data.
Preferred Qualifications
Prior experience analyzing organoid datasets.
Experience with machine learning approaches for biological data, familiarity with pathway analysis tools, and knowledge of developmental biology principles.
Experience with high-performance computing environments and version control systems.
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
Remote
Working pattern and location restrictions need checking in the full posting.
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