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Virtual Bioinformatics Data Scientist Jobs (NOW HIRING)

Axle

Bioinformatics/Data Scientist

Frederick, MD · On-site

$105K - $120K/yr

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 ...

Axle

Bioinformatics/Data Scientist

Frederick, MD · On-site

$105K - $120K/yr

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 ...

Axle

Bioinformatics/Data Scientist

Frederick, MD

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 ...

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How much do virtual bioinformatics data scientist jobs pay per year?

As of Jul 14, 2026, the average yearly pay for virtual bioinformatics data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Virtual Bioinformatics Data Scientist, and why are they important?

To thrive as a Virtual Bioinformatics Data Scientist, you need a strong background in biology, statistics, and computer science, often supported by an advanced degree in bioinformatics or a related field. Proficiency in programming languages like Python or R, experience with bioinformatics tools (e.g., BLAST, GATK), and familiarity with cloud computing platforms are typically required. Outstanding analytical thinking, collaboration, and effective communication skills set top performers apart in this field. These competencies are crucial for extracting meaningful insights from complex biological data and facilitating impactful research in a remote, interdisciplinary environment.

What is a Virtual Bioinformatics Data Scientist?

A Virtual Bioinformatics Data Scientist is a professional who analyzes and interprets complex biological data, such as genomic sequences, using computational tools and statistical techniques, often working remotely. They collaborate with researchers and healthcare professionals to process large datasets, develop algorithms, and extract meaningful insights that advance scientific or clinical research. The 'virtual' aspect means they perform their duties online, leveraging cloud platforms and remote collaboration tools. This role requires expertise in biology, computer science, and data analytics. Their work supports advancements in fields like personalized medicine, drug development, and genomics.

What is the difference between Virtual Bioinformatics Data Scientist vs Virtual Bioinformatics Analyst?

AspectVirtual Bioinformatics Data ScientistVirtual Bioinformatics Analyst
Required CredentialsTypically requires a master's or Ph.D. in bioinformatics, computational biology, or related fieldsUsually holds a bachelor's or master's degree in bioinformatics, biology, or related areas
Work EnvironmentConducts complex data modeling, algorithm development, and predictive analyticsFocuses on data interpretation, report generation, and supporting research teams
Employer & Industry UsageUsed in biotech, pharmaceutical, and research institutions for advanced data analysisCommon in research labs, healthcare, and biotech companies for data support roles

The Virtual Bioinformatics Data Scientist and Virtual Bioinformatics Analyst roles share overlapping skills but differ mainly in complexity and focus. Data scientists handle advanced modeling and algorithm development, often requiring higher credentials, while analysts focus on data interpretation and reporting. Both roles are vital in biotech and research industries, but their responsibilities and expertise levels vary.

How does a Virtual Bioinformatics Data Scientist typically collaborate with cross-functional teams in a remote setting?

As a Virtual Bioinformatics Data Scientist, you will regularly collaborate with biologists, clinicians, and software engineers via digital communication and project management platforms. Effective communication is crucial, as you’ll be expected to translate complex data findings into actionable insights for non-technical team members. Most virtual teams use tools like Slack, Zoom, and shared cloud-based repositories to facilitate real-time collaboration and feedback. Proactive participation in virtual meetings, clear documentation, and adaptability to asynchronous workflows are key to successful teamwork in this remote role.
What cities are hiring for Virtual Bioinformatics Data Scientist jobs? Cities with the most Virtual Bioinformatics Data Scientist job openings:
What are the most commonly searched types of Bioinformatics Data Scientist jobs? The most popular types of Bioinformatics Data Scientist jobs are:
What states have the most Virtual Bioinformatics Data Scientist jobs? States with the most job openings for Virtual Bioinformatics Data Scientist jobs include:
Virtual Bioinformatics Data Scientist jobs near you
Bioinformatics/Data Scientist

Bioinformatics/Data Scientist

Axle

Frederick, MD • On-site

$105K - $120K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 23 days ago

Job description

(ID: 2025-0696)


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 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)

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.

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: careers@axleinfo.com

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.

#INDPSD

Salary Range
$105,000—$120,000 USD