Bioinformatics / Data Scientist

(ID: 2026-3883)

Axleis 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:

• 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)

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.