Bioinformatics / Data Scientist

Axle; United States; Remote; USD 105,000 - 120,000; Full time

Benefits offered by this job

PTO & holidays

401K match

Educational benefits

Employee referral bonus

Flexible Spending Accounts

Job summary

Axle in the United States seeks a Bioinformatics / Data Scientist to lead multi-omics analyses from organoid systems and matched tissues, focusing on organoid fidelity and biomarkers of successful differentiation.

You will develop computational pipelines in R and Python, apply scRNA-seq, proteomics and metabolomics, design experiments with wet-lab teams, benchmark against public datasets, and contribute to manuscript preparation and conferences.

Qualifications

• Doctoral degree in bioinformatics, computational biology, biostatistics, or related quantitative field.
• Extensive experience with single-cell data analysis using tools like Seurat or Scanpy.
• Strong programming in R and Python, with statistical analysis and data visualization skills.
• Basic knowledge of proteomics and metabolomics data.

Responsibilities

• Multi-omics analysis of single-cell RNA sequencing, bulk RNA sequencing, proteomics and metabolomics data from organoid systems and tissue counterparts.
• Experimental design consultation with wet-lab teams to optimize protocols for discovery and performance.
• Develop and implement computational pipelines for data processing, QC and statistical analysis.
• Benchmark organoid characteristics against public datasets to assess fidelity.
• Collaborate with experimental teams to interpret results and guide protocol optimization.
• Contribute to manuscript preparation and present findings at scientific conferences.

Skills

Single-cell analysis

R & Python

Bioinformatics

Education

PhD in bioinformatics or related field

Tools

Seurat

Scanpy

Job description

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:

• 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)

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: [e-mail]

Salary Range

$105,000 - $120,000 USD

Voluntary Self‑Identification

For government reporting purposes, we ask candidates to respond to the below self‑identification survey.Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiringprocess or thereafter. Any information that you do provide will be recorded and maintained in aconfidential file.

As set forth in Axle’s Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law.

If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection.As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measurethe effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categoriesis as follows:

A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service‑connected disability.

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