... using machine learning approaches. Responsibilities : • Integrate long-read and short-read RNA ... Required : • PhD (awarded or imminent) in bioinformatics, computational biology, or a closely ...
... using machine learning approaches. Responsibilities : • Integrate long-read and short-read RNA ... Required : • PhD (awarded or imminent) in bioinformatics, computational biology, or a closely ...
Postdoctoral Associate
Blacksburg, VA · On-site
... in Scientific Machine Learning (SciML). • Collaborating with members of the group as well as ... Biology, Bioinformatics, Statistics, Mathematics, Biophysics, Physics, Chemistry, Biology or ...
Postdoctoral Associate
Blacksburg, VA · On-site
... in Scientific Machine Learning (SciML). • Collaborating with members of the group as well as ... Biology, Bioinformatics, Statistics, Mathematics, Biophysics, Physics, Chemistry, Biology or ...
... bioinformatics and computational biology. The lab's research program focuses on developing ... Current ongoing projects include: statistical modeling and advanced machine learning/AI method ...
... bioinformatics and computational biology. The lab's research program focuses on developing ... Current ongoing projects include: statistical modeling and advanced machine learning/AI method ...
... bioinformatics, computational biology, or a closely related field * Demonstrated experience using long- or short-read RNA-seq to understand alternative splicing * Experience using machine learning ...
... bioinformatics, computational biology, or a closely related field * Demonstrated experience using long- or short-read RNA-seq to understand alternative splicing * Experience using machine learning ...
Senior Data Scientist
Springfield, VA · On-site
$117 - $195/hr
Bioinformatics * Data Engineering * Algorithm Development * Documentation * Cloud Computing * Data Mining * Database Design * Explainable AI * Machine Learning * Bayesian Modeling * Data Processing
New
Senior Data Scientist
Springfield, VA · On-site
$117 - $195/hr
Bioinformatics * Data Engineering * Algorithm Development * Documentation * Cloud Computing * Data Mining * Database Design * Explainable AI * Machine Learning * Bayesian Modeling * Data Processing
New
... bioinformatics, multiomics , metabolomics, infectious or environmental exposures, and responsible applications of artificial intelligence or machine learning in biomedical research. This is a staff ...
... bioinformatics, multiomics , metabolomics, infectious or environmental exposures, and responsible applications of artificial intelligence or machine learning in biomedical research. This is a staff ...
Postdoctoral Associate
Blacksburg, VA · On-site
... Machine Learning (SciML). They will be expected to collaborate with members of the group as well as ... Biology, Bioinformatics, Statistics, Mathematics, Biophysics, Physics, Chemistry, Biology or ...
Postdoctoral Associate
Blacksburg, VA · On-site
... Machine Learning (SciML). They will be expected to collaborate with members of the group as well as ... Biology, Bioinformatics, Statistics, Mathematics, Biophysics, Physics, Chemistry, Biology or ...
Postdoctoral Associate
Blacksburg, VA · On-site
$63K - $73K/yr
... Machine Learning (SciML). They will be expected to collaborate with members of the group as well as ... Biology, Bioinformatics, Statistics, Mathematics, Biophysics, Physics, Chemistry, Biology or ...
Postdoctoral Associate
Blacksburg, VA · On-site
$63K - $73K/yr
... Machine Learning (SciML). They will be expected to collaborate with members of the group as well as ... Biology, Bioinformatics, Statistics, Mathematics, Biophysics, Physics, Chemistry, Biology or ...
Proficiency with bioinformatics tools and sequence analysis * Knowledge of biosafety/biosecurity ... Experience with HPC, GIS, machine learning, uncertainty quantification Chemical Defense Analyst ...
Proficiency with bioinformatics tools and sequence analysis * Knowledge of biosafety/biosecurity ... Experience with HPC, GIS, machine learning, uncertainty quantification Chemical Defense Analyst ...
Proficiency with bioinformatics tools and sequence analysis * Knowledge of biosafety/biosecurity ... Experience with HPC, GIS, machine learning, uncertainty quantification Chemical Defense Analyst ...
Proficiency with bioinformatics tools and sequence analysis * Knowledge of biosafety/biosecurity ... Experience with HPC, GIS, machine learning, uncertainty quantification Chemical Defense Analyst ...
Bioinformatics Machine Learning information
See Virginia salary details
$66.6K is the 25th percentile. Wages below this are outliers.
$59K - $67.1K
27% of jobs
$67.1K - $75.2K
15% of jobs
$75.2K - $83.3K
6% of jobs
The median wage is $84.5K / yr.
$83.3K - $91.4K
15% of jobs
$91.4K - $99.5K
9% of jobs
$99.5K - $107.7K
2% of jobs
$113.7K is the 75th percentile. Wages above this are outliers.
$107.7K - $115.8K
2% of jobs
$115.8K - $123.9K
2% of jobs
$123.9K - $132K
10% of jobs
$132K - $140.1K
11% of jobs
$140.1K - $148.2K
2% of jobs
$59K
$93.7K
$148.2K
How much do bioinformatics machine learning jobs pay per year?
As of Aug 8, 2026, the average yearly pay for bioinformatics machine learning in Virginia is $93,664.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,900.00 and $128,400.00 per year, depending on experience, location, and employer.
What is a bioinformatics machine learning?
A Bioinformatics Machine Learning job involves applying machine learning techniques to analyze and interpret biological data, such as genomics, proteomics, and medical records. Professionals in this field develop algorithms, build predictive models, and enhance data-driven research in areas like personalized medicine and drug discovery. They work with large datasets, applying deep learning, neural networks, and other AI methods to extract meaningful insights. The role requires expertise in biology, statistics, and programming languages like Python or R.
What are the typical daily responsibilities for someone in a bioinformatics machine learning position?
In a Bioinformatics Machine Learning role, your daily tasks usually involve developing and tuning machine learning models to analyze large biological datasets, such as genomics or proteomics data. You'll collaborate closely with researchers, biologists, and data scientists to understand project goals, interpret results, and refine analytical approaches. Routine work includes coding, troubleshooting algorithms, visualizing data outputs, and documenting findings for internal teams or publication. The role often requires balancing independent analysis with teamwork and regular communication across disciplines, making it both technically challenging and highly collaborative.
What are the key skills and qualifications needed to thrive in the bioinformatics machine learning position, and why are they important?
A successful Bioinformatics Machine Learning professional needs a solid background in biology, statistics, and computer science, often backed by an advanced degree such as a Master's or PhD in bioinformatics, data science, or a related field. Proficiency with programming languages like Python or R, experience with machine learning libraries (e.g., TensorFlow, scikit-learn), and knowledge of version control systems are typical requirements, and relevant certifications can be beneficial. Strong problem-solving abilities, effective communication skills, and the capacity to work collaboratively in interdisciplinary teams set candidates apart. These skills are crucial for designing robust computational models, interpreting complex biological data, and translating findings into actionable insights in research or clinical settings.
What are the most commonly searched types of Bioinformatics Machine Learning jobs in Virginia? The most popular types of Bioinformatics Machine Learning jobs in Virginia are:
What are popular job titles related to Bioinformatics Machine Learning jobs in Virginia? For Bioinformatics Machine Learning jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Bioinformatics Machine Learning jobs in Virginia look for? The top searched job categories for Bioinformatics Machine Learning jobs in Virginia are:
Full-time
Re-posted 20 days ago
University Of Virginia rating
7.9
Based on 35 frontline employees who took The Breakroom Quiz
207th of 616 rated colleges and universities
Job description
Job Summary:
The University of Virginia is seeking a highly motivated Postdoctoral Research Associate to join the Platig Lab. The role involves working with an interdisciplinary team to investigate the role of alternative splicing in Type 1 Diabetes using machine learning approaches.
Responsibilities:
• Integrate long-read and short-read RNA-seq with RBP data (motifs, eCLIP) for splicing and isoform analysis
• Develop machine learning methods to predict functional RNA regulatory elements
• Collaborate with wet-lab partners to design follow-up experiments
• Publish findings and present at national conferences
• Contribute to grant writing and mentorship of graduate students
Qualifications:
Required:
• PhD (awarded or imminent) in bioinformatics, computational biology, or a closely related field
• Demonstrated experience using long- or short-read RNA-seq to understand alternative splicing
• Experience using machine learning techniques in genomics
• Strong publication record
• Ability to communicate computational techniques to a broad audience
Preferred:
• Experience modeling RNA binding proteins
• Familiarity with T1D
• Experience with machine learning interpretability approaches (xAI)
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 a highly motivated Postdoctoral Research Associate to join the Platig Lab. The role involves working with an interdisciplinary team to investigate the role of alternative splicing in Type 1 Diabetes using machine learning approaches.
Responsibilities:
• Integrate long-read and short-read RNA-seq with RBP data (motifs, eCLIP) for splicing and isoform analysis
• Develop machine learning methods to predict functional RNA regulatory elements
• Collaborate with wet-lab partners to design follow-up experiments
• Publish findings and present at national conferences
• Contribute to grant writing and mentorship of graduate students
Qualifications:
Required:
• PhD (awarded or imminent) in bioinformatics, computational biology, or a closely related field
• Demonstrated experience using long- or short-read RNA-seq to understand alternative splicing
• Experience using machine learning techniques in genomics
• Strong publication record
• Ability to communicate computational techniques to a broad audience
Preferred:
• Experience modeling RNA binding proteins
• Familiarity with T1D
• Experience with machine learning interpretability approaches (xAI)
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
Pay
Benefits
Hours and flexibility
Workplace
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About University of Virginia
Sourced by ZipRecruiter
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