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Full Time Computer Science Bioinformatics Jobs in Virginia

Software Integration Engineer 3

Ashburn, VA · On-site

$106.40K - $143.20K/yr

OR The individual shall have five (5) years full time Computer Science directly related work that can be substituted for a degree and have at least eight (8) years of demonstrable experience. OR An ...

... Job Type Full-Time Career Level Staff Education Bachelor's Degree Travel Security Clearance ... Computer software engineers apply the principles and techniques of computer science, engineering ...

Mid Computer Engineer

Chesapeake, VA · On-site

$108.30K - $127.70K/yr

... Job Type Full-Time Career Level Staff Education Bachelor's Degree Travel Security Clearance ... Computer software engineers apply the principles and techniques of computer science, engineering ...

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Full Time Computer Science Bioinformatics information

What are the key skills and qualifications needed to thrive as a Full Time Computer Science Bioinformatics professional, and why are they important?

To thrive as a Full Time Computer Science Bioinformatics professional, you need a solid background in computer science, biology, and statistics, usually supported by a degree in bioinformatics, computer science, or a related field. Proficiency in programming languages like Python, R, and experience with bioinformatics tools and databases such as BLAST, Bioconductor, and NCBI are typically required. Strong problem-solving abilities, analytical thinking, and effective communication skills help you collaborate with interdisciplinary teams and interpret complex biological data. These skills and qualities are vital for developing innovative computational solutions that advance biological research and healthcare applications.

What types of interdisciplinary collaboration are common in a Full Time Computer Science Bioinformatics role?

In a Full Time Computer Science Bioinformatics position, professionals frequently collaborate with biologists, statisticians, and clinicians to interpret complex biological data. You’ll often work on cross-functional teams, contributing your computational expertise to projects such as genomic analysis, drug discovery, or clinical data interpretation. Effective communication is key, as you'll need to translate technical findings for team members with diverse backgrounds. This collaborative environment not only enriches problem-solving but also broadens your professional network and skill set.

What are full time computer science bioinformatics jobs?

Full time computer science bioinformatics jobs involve using computational and analytical methods to solve biological and biomedical problems. Professionals in these roles develop and apply software tools, algorithms, and databases to analyze biological data, such as DNA sequences, protein structures, and gene expression profiles. These positions typically require strong programming skills, knowledge of biology, and expertise in data analysis. Full time roles may be found in academic research, biotechnology companies, pharmaceutical firms, and healthcare organizations.

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

AspectFull Time Computer Science BioinformaticsFull Time Data Scientist
Required CredentialsBachelor's or Master's in Bioinformatics, Computer Science, or related fieldsBachelor's or Master's in Data Science, Statistics, Computer Science
Work EnvironmentResearch labs, healthcare, biotech companiesTech firms, finance, healthcare, consulting
Industry UsageBiotech, pharmaceuticals, academiaTechnology, finance, marketing
Common Search IntentBioinformatics roles, computational biology jobsData analysis, machine learning roles

Full Time Computer Science Bioinformatics focuses on applying computational techniques to biological data, often in healthcare or research settings. Full Time Data Scientist emphasizes analyzing large datasets across various industries. While both roles require programming skills and data analysis expertise, bioinformatics is specialized in biological applications, whereas data science covers broader sectors.

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 cities in Virginia are hiring for Full Time Computer Science Bioinformatics jobs? Cities in Virginia with the most Full Time Computer Science Bioinformatics job openings:
Postdoc Research Associate, Genome Sciences

Postdoc Research Associate, Genome Sciences

University of Virginia

Charlottesville, VA • On-site

Full-time

Posted 13 days ago


University Of Virginia rating

8.3

Company rating: 8.3 out of 10

Based on 33 frontline employees who took The Breakroom Quiz

92nd of 529 rated colleges and universities


Job description

The Laboratory of Dr. Chongzhi Zang in the Department of Genome Sciences at the University of Virginia (UVA) is seeking to fill multiple Postdoctoral Research Associate positions in the broad field of bioinformatics and computational biology. The lab's research program focuses on developing computational methods for high-throughput genomics technologies and integrating data science and experimental approaches to study chromatin and gene regulation in mammalian cells and human disease systems. Current ongoing projects include: statistical modeling and advanced machine learning/AI method development for predicting transcriptional regulation from multi-omics data; computational method development for single-cell epigenomic sequencing and image-based spatial-omics data analysis; computational and experimental studies on chromatin regulation, transcriptional condensates, and liquid-liquid phase separation; and research on epigenetics and transcriptional regulation in human cancer and immune systems. Additional information on research directions and recent publications can be found on the lab's website .
The PI, Dr. Chongzhi Zang, is the inaugural Director of Computational Genomics at the UVA Comprehensive Cancer Center and a tenured Associate Professor in the Departments of Genome Sciences, Biochemistry and Molecular Genetics, and Biomedical Engineering at the UVA School of Medicine. Dr. Zang is an accomplished computational biologist who has made significant contributions to high-throughput sequencing bioinformatics, ChIP-seq data analysis, epigenetics and transcriptional regulation. Since starting his independent faculty position at UVA in 2016, his lab has been productive and well-funded by NIH and other agencies. Dr. Zang is a dedicated mentor. Every postdoctoral scientist in the lab will receive comprehensive and personalized training in research and career development, and will have extensive opportunities for both independent and collaborative research. Based in the Department of Genome Sciences at UVA's School of Medicine, the lab has established close collaborations with multiple research groups across the country.
Minimum Qualifications:
A Ph.D. or equivalent degree in any quantitative science, including but not limited to Bioinformatics, Computational Biology, Applied Mathematics, Statistics, Physics, Chemistry, Computer Science, Data Science, Engineering, or a related field is required by the start date.
Preferred Qualifications:
  • Proficient in Python (or C/C++) & R programming.
  • Strong quantitative background (e.g., statistical modeling, machine learning, computational or theoretical physics, etc.) or computational genomics experience (e.g., high-throughput sequencing data analysis, etc.).
  • At least one peer-reviewed publication written in English in the previous area of research (not necessarily related to biology) with submitted, accepted, or published status at the time of application.

This is a 12-month appointment with the possibility of renewal contingent upon satisfactory performance and the availability of funding. Salary is commensurate with education and experience.
This is an Exempt level, benefited position. For more information on the benefits at UVA, visit hr.virginia.edu/benefits
This position will sponsor applicants for work visa who meet the qualifications.
This position will remain open until filled. The University will perform background checks on all new hires prior to employment. A completed pre-employment health screen is required for this position prior to employment.
To Apply:
Please apply through Careers at UVA , and search for R0066281 .
Complete an application online with the following documents:
  • CV
  • Cover letter
  • Contact information for 3 references.

Upload all materials into the resume submission field, multiple documents can be submitted into this one field. Alternatively, merge all documents into one PDF for submission. Applications that do not contain all required documents will not receive full consideration.
Internal applicants: Search and apply for jobs on the UVA Internal Careers website .
For questions about the application process, please contact Jessica Russo, Academic Recruiter at sxv9zv@virginia.edu.
For more information about UVA and the Charlottesville community please see http://www.virginia.edu/life/charlottesville and https://embarkcva.com/
Job Profile
J0267 - Research Associate - 12 Month
Career Stream and Level
No Career Stream-No Level
The University of Virginia is an equal opportunity employer. All interested persons are encouraged to apply, including veterans and individuals with disabilities. Learn more about UVA's commitment to non-discrimination and equal opportunity employment .

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About University of Virginia

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The University of Virginia is distinctive among institutions of higher education. Founded by Thomas Jefferson in 1819, the University sustains the ideal of developing, through education, leaders who are well-prepared to shape the future of the nation.

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Headquarters location

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Year founded

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