Bioinformatics/Data Scientist

Axle; Frederick (MD); On-site; USD 105,000 - 120,000; Full time

Benefits offered by this job

Paid Time Off

401K match up to 5%

Educational Benefits

Employee Referral Bonus

Flexible Spending Accounts

Job summary

Axle is seeking a Bioinformatics/Data Scientist to join our team at the National Institutes of Health (NIH) in Frederick, MD. This position focuses on analyzing multi-omics data from organoid systems and developing computational frameworks for quality assessment.

Candidates must hold a PhD and have extensive experience in single-cell data analysis, programming in R and Python, as well as familiarity with proteomics and metabolomics workflows. The role includes close collaboration with experimental teams and offers a competitive salary along with various benefits.

Qualifications

• PhD in a relevant field is required.
• Experience with single-cell data analysis is essential.
• Strong programming skills in R and Python are necessary.
• Knowledge of proteomics and metabolomics workflows is required.

Responsibilities

• Analyze complex datasets including multi-omics data.
• Develop computational pipelines for data processing.
• Integrate SOM-generated data with public datasets.
• Collaborate with experimental teams and prepare scientific manuscripts.

Skills

Single-cell data analysis

R programming

Python

Statistical analysis

Data visualization

Education

PhD in bioinformatics, computational biology, biostatistics, or a related quantitative 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).

Axle is seeking a Bioinformatics/Data Scientist to join our vibrant team at the National Institutes of Health (NIH) supporting the Standardized Organoid Model Center in Frederick, MD. The Standardized Organoid Model Center is an NIH-funded initiative dedicated to advancing organoid research through the development of validated, reproducible, and well-characterized organoid models. The center brings together interdisciplinary teams of researchers to establish standardized protocols, develop quality control measures, and create resources that will benefit the broader organoid research community.

Benefits

• 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)

Overview

The Bioinformatics/Data Scientist will conduct comprehensive analyses of multi-omics data generated from organoid systems and corresponding normal tissues. This 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.

Responsibilities

• The successful candidate will analyze complex datasets including single-cell RNA sequencing, bulk RNA sequencing, proteomics, and metabolomics data from various organoid systems and their tissue counterparts.
• The position will develop and implement computational pipelines for data processing, quality control, and statistical analysis.
• A major component of the role involves integrating SOM-generated data with publicly available datasets to benchmark organoid characteristics against normal tissue profiles.
• The position requires close collaboration with experimental teams to interpret results and guide protocol optimization, as well as contributing to manuscript preparation and presenting findings at scientific conferences.

Required Qualifications

• Candidates must hold a PhD in bioinformatics, computational biology, biostatistics, or a related quantitative field.
• Extensive experience with single-cell data analysis, including familiarity with tools such as Seurat, Scanpy, or similar platforms, is essential.
• Strong programming skills in R and Python are required, along with experience in statistical analysis and data visualization.
• Knowledge of proteomics and metabolomics data analysis workflows is necessary.

Preferred Qualifications

• Previous experience analyzing organoid datasets is strongly preferred.
• Experience with machine learning approaches for biological data, familiarity with pathway analysis tools, and knowledge of developmental biology principles will be considered valuable assets.
• Experience with high-performance computing environments and version control systems is desirable.

Accessibility: If you need an accommodation as part of the employment process, please contact: [e-mail].

Equal Employment Opportunity

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.

Salary Range: $105,000 - $120,000 USD.