Bioinformatics / Data Scientist

Axle; Oregon; Hybrid; USD 105,000 - 120,000; Full time

Benefits offered by this job

Medical coverage for employees

Dental coverage

Vision coverage

Paid time off

Paid holidays

401K match up to 5%

Educational benefits

Employee referral bonus

Healthcare FSA

Parking reimbursement

Dependent Care DCAP

Transportation Reimbursement TRN

Job summary

Axle, a bioscience and information technology company, seeks a Bioinformatics/Data Scientist to analyze multi-omics data from organoid systems and normal tissues. The role centers on characterizing organoid fidelity and identifying biomarkers of successful differentiation.

You will develop computational frameworks for organoid quality assessment and collaborate with experimental teams to guide protocol optimization and dissemination of findings at conferences.

Qualifications

• PhD in bioinformatics, computational biology, biostatistics, or related field.

Responsibilities

• Multi-omics analysis of single-cell and bulk data (RNA-seq, proteomics, metabolomics).
• Collaborate with wet-lab teams on experimental design to optimize protocols for discovery.
• Develop computational pipelines for data processing, QC, and statistics.

Skills

Single-cell analysis

R programming

Python programming

Statistical analysis

Data visualization

Education

PhD in bioinformatics/computational biology/biostatistics

Tools

Seurat

Scanpy

High-performance computing

Job description

(ID: 2026-3883) 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:

• 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.

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.

Accessibility

If you need an accommodation as part of the employment process please contact:

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.

#INDSalary Range$105,000-$120,000 USD