Data Scientist Fellow — Multi-Omics Analysis

Axle; Rockville (MD); On-site; USD 90,000 - 100,000; Full time

Benefits offered by this job

Paid Time Off

401K match up to 5%

Educational Benefits

Employee Referral Bonus

FSA

Parking Reimbursement Account

Dependent Care Assistant Program

Transportation Reimbursement Account

Job summary

Axle in Rockville, MD invites applications for the Bioinformatics Fellow for Multi-Omics Analysis. The role will analyze multi-omics data from organoid systems, assess organoid fidelity, and identify biomarkers of differentiation while developing computational frameworks for quality assessment.

You will implement pipelines for data processing, integrate single-cell and omics data, and collaborate with experimental teams to refine protocols.

Qualifications

• PhD in bioinformatics, computational biology, biostatistics, or related field.
• Extensive single-cell data analysis experience with Seurat/Scanpy.
• Strong R and Python programming, statistics, and data visualization.
• Knowledge of proteomics/metabolomics analysis workflows.

Responsibilities

• Multi-omics analysis of single-cell RNA-seq, bulk RNA-seq, proteomics, and metabolomics.
• Develop pipelines for data processing, QC, and statistical analysis.
• Benchmark organoid data against normal tissue profiles.
• Develop methods for classifying cellular states and organoid quality.
• Collaborate with experimental teams and other computational staff.
• Contribute to manuscripts and conference presentations.

Skills

Single-cell analysis

Omics workflows

R programming

Python programming

Education

PhD in bioinformatics / related field

Tools

Seurat

Scanpy

HPC

Git

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 Fellow for Multi-Omics Analysis will conduct comprehensive analyses of multi-omics data generated from organoid systems and corresponding normal tissues. The incumbent will characterize organoid fidelity, identify biomarkers of successful differentiation, and develop computational frameworks for organoid quality assessment, while gaining substantive training in integrative analysis of single-cell and multi-omics data. The work is central to the SOM Center’s research objectives, and the position is intended to prepare the Fellow for an independent research career in academia, government, or industry.

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.

Pipeline development. Develop and implement computational pipelines for data processing, quality control, and statistical analysis, and document them so that analyses are reproducible across the Center.

Benchmarking. Integrate SOM-generated data with publicly available datasets in order to benchmark organoid characteristics against normal tissue profiles.

Method development. Develop and refine analytical approaches — including machine learning methods where appropriate — for classifying cellular states and assessing organoid quality, and contribute to standardized assessment protocols.

Collaboration and interpretation. Work closely with experimental teams to interpret results and guide protocol optimization, and collaborate with other computational staff on cross-modality data integration.

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, completed or anticipated prior to the start of the appointment.

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. Working knowledge of proteomics and metabolomics data analysis workflows.

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]

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.

Salary Range: $90,000 USD - $100,000 USD