... of bioinformatics and computational biology within Dr. Chongzhi Zang's laboratory. The role ... Founded in 1819, the company is headquartered in Charlottesville, USA, with a team of 10001 ...
... of bioinformatics and computational biology within Dr. Chongzhi Zang's laboratory. The role ... Founded in 1819, the company is headquartered in Charlottesville, USA, with a team of 10001 ...
Required : • PhD (awarded or imminent) in bioinformatics, computational biology, or a closely ... Founded in 1819, the company is headquartered in Charlottesville, USA, with a team of 10001 ...
Required : • PhD (awarded or imminent) in bioinformatics, computational biology, or a closely ... Founded in 1819, the company is headquartered in Charlottesville, USA, with a team of 10001 ...
Postdoctoral Associate
Blacksburg, VA · On-site
... Biology, Bioinformatics, Statistics, Mathematics, Biophysics, Physics, Chemistry, Biology or ... Founded in 1872, the company is headquartered in Blacksburg, USA, with a team of 5001-10000 ...
Postdoctoral Associate
Blacksburg, VA · On-site
... Biology, Bioinformatics, Statistics, Mathematics, Biophysics, Physics, Chemistry, Biology or ... Founded in 1872, the company is headquartered in Blacksburg, USA, with a team of 5001-10000 ...
Usa Bioinformatics information
What is a USA bioinformatics job?
USA Bioinformatics jobs involve applying computational techniques and statistical analysis to biological data, such as DNA sequences or protein structures. These roles are commonly found in pharmaceutical companies, research institutions, biotech firms, and government agencies across the United States. Professionals in this field typically analyze large datasets to advance scientific understanding, develop new drugs, or improve healthcare outcomes. A background in biology, computer science, and statistics is often required, along with experience in programming and using specialized bioinformatics tools.
What skills and qualifications are needed to thrive as a bioinformatician in the USA?
To thrive as a Bioinformatician in the USA, you generally need a strong background in biology, statistics, and computer science, often supported by a relevant degree such as bioinformatics, computational biology, or a related field. Familiarity with technical tools like Python, R, Linux, and bioinformatics platforms (e.g., BLAST, Galaxy) as well as experience with NGS data analysis is typically required. Analytical thinking, strong problem-solving abilities, and effective communication skills help bioinformaticians collaborate with multidisciplinary teams and interpret complex data. These skills are crucial for deriving meaningful biological insights from large datasets and supporting advancements in research and healthcare.
What are common challenges faced by bioinformaticians working in the USA and how can they be addressed?
Bioinformaticians in the USA often encounter challenges such as managing and analyzing large-scale biological datasets, integrating data from diverse sources, and keeping up with rapidly evolving computational tools. Collaborating closely with both biologists and computer scientists is essential for success, as is staying updated through continuous learning. Many organizations support ongoing education and provide resources for professional development, which helps bioinformaticians overcome these hurdles and grow in their roles.
Is bioinformatics a good career?
Bioinformatics is a growing field with strong demand for professionals skilled in data analysis, programming, and biology. It offers opportunities in research, healthcare, and biotechnology sectors, often requiring knowledge of tools like Python, R, and databases. The career can be rewarding with competitive salaries and opportunities for advancement.
Is bioinformatics currently in demand?
Bioinformatics is in high demand due to the growth of genomics, personalized medicine, and data-driven research in healthcare and biotech industries. Professionals with skills in programming, data analysis, and biological sciences are sought after, with job opportunities increasing in research institutions, pharmaceutical companies, and biotech firms.
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For Usa Bioinformatics jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Usa Bioinformatics jobs in Virginia look for?
The top searched job categories for Usa Bioinformatics jobs in Virginia are:
What cities in Virginia are hiring for Usa Bioinformatics jobs?
Cities in Virginia with the most Usa Bioinformatics job openings:
Full-time
Re-posted 14 days ago
University Of Virginia rating
7.9
Based on 35 frontline employees who took The Breakroom Quiz
210th of 622 rated colleges and universities
Job description
Job Summary:
The University of Virginia is seeking multiple Postdoctoral Research Associates in the field of bioinformatics and computational biology within Dr. Chongzhi Zang's laboratory. The role involves developing computational methods for genomics technologies and integrating data science to study gene regulation and chromatin in mammalian cells and human diseases.
Responsibilities:
• Develop computational methods for high-throughput genomics technologies.
• Integrate data science and experimental approaches to study chromatin and gene regulation.
• Conduct statistical modeling and advanced machine learning/AI method development for predicting transcriptional regulation from multi-omics data.
• Develop computational methods for single-cell epigenomic sequencing and image-based spatial-omics data analysis.
• Perform computational and experimental studies on chromatin regulation, transcriptional condensates, and liquid-liquid phase separation.
• Research epigenetics and transcriptional regulation in human cancer and immune systems.
Qualifications:
Required:
• 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:
• 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.
Company:
The University of Virginia was founded in 1819 as the model for modern universities that has since been emulated all over the world. Founded in 1819, the company is headquartered in Charlottesville, USA, with a team of 10001+ employees. The company is currently Late Stage.
The University of Virginia is seeking multiple Postdoctoral Research Associates in the field of bioinformatics and computational biology within Dr. Chongzhi Zang's laboratory. The role involves developing computational methods for genomics technologies and integrating data science to study gene regulation and chromatin in mammalian cells and human diseases.
Responsibilities:
• Develop computational methods for high-throughput genomics technologies.
• Integrate data science and experimental approaches to study chromatin and gene regulation.
• Conduct statistical modeling and advanced machine learning/AI method development for predicting transcriptional regulation from multi-omics data.
• Develop computational methods for single-cell epigenomic sequencing and image-based spatial-omics data analysis.
• Perform computational and experimental studies on chromatin regulation, transcriptional condensates, and liquid-liquid phase separation.
• Research epigenetics and transcriptional regulation in human cancer and immune systems.
Qualifications:
Required:
• 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:
• 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.
Company:
The University of Virginia was founded in 1819 as the model for modern universities that has since been emulated all over the world. Founded in 1819, the company is headquartered in Charlottesville, USA, with a team of 10001+ employees. The company is currently Late Stage.
What University Of Virginia employees say
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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.
Industry
Colleges, universities, and professional schools
Company size
10,000+ Employees
Headquarters location
Charlottesville, VA, US
Year founded
1819