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Freelance Computer Science Bioinformatics Jobs in Virginia

Bachelor of Arts or Science (BA/BS) degree, Master of Arts or Science (MA/MS) degree preferred in ... Ability to use a computer and other office productivity tools with sufficient speed to meet the ...

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Freelance Computer Science Bioinformatics information

What is the difference between Freelance Computer Science Bioinformatics vs Freelance Data Scientist?

AspectFreelance Computer Science BioinformaticsFreelance Data Scientist
Required CredentialsBackground in bioinformatics, computer science, or related fields; often with biology or genetics knowledgeBackground in statistics, computer science, or data analysis; often with mathematics or engineering degrees
Work EnvironmentResearch labs, biotech companies, academic projects, or remote consultingBusiness, finance, tech firms, or consulting projects, often remote
Employer & Industry UsageHealthcare, biotech, pharmaceuticals, academiaFinance, tech, marketing, healthcare, and consulting

While both roles involve data analysis and programming, Freelance Computer Science Bioinformatics focuses on biological data and genetics, whereas Freelance Data Scientist covers a broader range of industries and data types. Both are in high demand for remote freelance work, but their specific expertise and industry focus differ.

What are the most commonly searched types of Computer Science Bioinformatics jobs in Virginia? The most popular types of Computer Science Bioinformatics jobs in Virginia are:
What are popular job titles related to Freelance Computer Science Bioinformatics jobs in Virginia? For Freelance Computer Science Bioinformatics jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Freelance Computer Science Bioinformatics jobs in Virginia look for? The top searched job categories for Freelance Computer Science Bioinformatics jobs in Virginia are:
What cities in Virginia are hiring for Freelance Computer Science Bioinformatics jobs? Cities in Virginia with the most Freelance Computer Science Bioinformatics job openings:
Faculty in Data Science (Tenure Track/Tenured, Position # F1050A)

Faculty in Data Science (Tenure Track/Tenured, Position # F1050A)

Old Dominion University

Norfolk, VA • On-site

Full-time

Posted 12 days ago


Old Dominion University rating

7.4

Company rating: 7.4 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

284th of 535 rated colleges and universities


Job description

Posting Details
Posting Details
Job Title
Faculty in Data Science (Tenure Track/Tenured, Position # F1050A)
Department
AI CLUSTER HIRE INITIATIVE
Position Number
F1050A
Job Description
The School of Data Science at Old Dominion University invites applicants for an open rank (Assistant/Associate/Full) as part of a multi-position hiring cluster aiming for the AI-Infused Autonomous Systems for Medicine and Health to begin in Fall 2026. This is a tenured/tenure-track, 10-month appointment that will begin July 25, 2026. Candidates will be considered for appointment at all ranks contingent upon appropriate qualifications. The cluster, with faculty hires in the School of Data Science, Batten College of Engineering and Technology, and Hampton Roads Biomedical Research Consortium (HRBRC), integrates interdisciplinary research in secure data infrastructure, real-time sensing, and trustworthy analytics to support autonomous decision-making across hospitals, clinics, and remote care settings.
We seek faculty that to develop/maintain a vibrant, externally funded interdisciplinary research program in artificial intelligence (AI)/machine learning (ML) and data science with a primary focus on connected and autonomous systems for healthcare, including but not limited to:
  • Privacy-Preserving Federated Learning for In-Hospital Sensor Networks
  • Digital-Twin-Driven Hospital Flow Optimization
  • Trust and Explainability in Autonomous Diagnostics
  • Adaptive Multi-Modal Sensing for Remote Patient Monitoring
  • Large-Scale Health Data Infrastructure for Autonomous Systems
  • AI-Enhanced solutions
  • Cyber-Physical Security for Medical Autonomy
  • Streaming Data Fusion and Synchronization for Medical Autonomous Systems
  • Connected Autonomous Systems for Emergency Response and Disaster Relief

The focus of this cluster is to leverage cutting-edge data science and artificial intelligence to transform healthcare delivery across hospitals, clinics, especially in underserve communities. The research of this cluster is expected to deliver innovative, data-driven methods and autonomous technologies that expand high-quality healthcare into medically underserved areas, enhance hospital efficiency, and ensure secure, reliable care across diverse clinical environments.
The appointee is expected to teach undergraduate and graduate courses and collaborate with other faculty in the School of Data Science, Batten College of Engineering & Technology, and Hampton Roads Biomedical Research Consortium. The appointee is encouraged to establish collaborations with the newly formed Macon & Joan Brock Virginia Health Sciences, as well as scientists at the nearby federal research facilities such as Thomas Jefferson National Accelerator Facility (Jefferson Lab), NASA Langley Research Center (LaRC) and Navy Surface Warfare Center in the Hampton Roads Regione.
About the School of Data Science: As one of the three academic units in the Interdisciplinary Schools at Old Dominion University, the School of Data Science is a new initiative that focuses on educating students in the rapidly growing field of data science, conducting cutting-edge research and serving as a center of AI education and research in the University community. Since its establishment in spring 2023, the school has grown to include ten core faculty members and over 80 affiliated faculty members across the campus, with wide range of active research projects from bioinformatics, web science, survey data science to scientific machine learning, explainable AI and generative AI. Faculty of the School of Data Science actively collaborate with researchers from renowned facilities such as Jefferson Lab (sponsored by Department of Energy), NASA's Langley Research Center, Hampton Roads Biomedical Research Consortium (HRBRC), Macon and Joan Brock Virginia Health Sciences (VHS, formerly EVMS), and ODU's Office of Enterprise Research and Innovation (OERI).
Position Type
FullTime
Type of Recruitment
General Public
Type of Recruitment
General Public
Minimum required education and/or special licenses, registrations, trainings, or certifications
A Ph.D. or equivalent in Data Science, Computer Science, Machine Learning, Engineering, Mathematics, Nursing Research or a closely related field is required.
Candidates applying for a senior faculty appointment (Associate Professor or Professor) must have academic record that merit a tenured appointment in the School of Data Science.
Minimum required level and type of experience, knowledge, skills, and abilities
Preferred Qualifications
  • A strong publication record in data science/AI/ML.
  • Strong record of externally funded grants
  • Excellent skills to interact and communicate clearly with internal and external constituencies.

Conditions of Employment
Location
Norfolk, VA
Job Open Date
10/01/2025
Application Review Date
11/16/2025
Open Until Filled
Yes
Application Instructions
How to Apply:
Interested candidates must complete the online application at https://jobs.odu.edu/postings/24325 and should include:
1. A cover letter of application describing your relevant qualifications and indicating the rank you would like to be considered for.
2. A curriculum vitae
3. A statement of teaching
4. A state of research interests
5. Unofficial graduate transcripts
6. Maximum of three samples of scholarly work
7. Contact information of 3 professional references.
Applications should be submitted by November 16, 2025, for full consideration. The position will remain open until it is filled. Questions about this position should be directed to Dr. Michael Nelson (mnelson@odu.edu)
Telework Friendly
No
Reasonable Accommodation Request
If you are an individual with a disability and require reasonable accommodation, please contact the Division of Talent Management and Culture at (757)683-3141.
Pay Transparency Nondiscrimination Provision
The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or © consistent with contractor's legal duty to furnish information.
About the College
About the School of Data Science: As one of the three academic units in the Interdisciplinary Schools at Old Dominion University, the School of Data Science is a new initiative that focuses on educating students in the rapidly growing field of data science, conducting cutting-edge research and serving as a center of AI education and research in the University community. Since its establishment in spring 2023, the school has grown to include ten core faculty members and over 80 affiliated faculty members across the campus, with wide range of active research projects from bioinformatics, web science, survey data science to scientific machine learning, explainable AI and generative AI. Faculty of the School of Data Science actively collaborate with researchers from renowned facilities such as Jefferson Lab (sponsored by Department of Energy), NASA's Langley Research Center, Hampton Roads Biomedical Research Consortium (HRBRC), Mason and Joan Brock Virginia Health Sciences (VHS, formerly EVMS), and ODU's Office of Enterprise Research and Innovation (OERI).
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