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Freelance Bioinformatics Machine Learning Jobs in Virginia

... in Scientific Machine Learning (SciML). • Collaborating with members of the group as well as ... Biology, Bioinformatics, Statistics, Mathematics, Biophysics, Physics, Chemistry, Biology or ...

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

... 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 ...

Freelance Bioinformatics Machine Learning information

What does a freelance bioinformatics machine learning specialist do?

A Freelance Bioinformatics Machine Learning specialist applies machine learning techniques to analyze biological data, such as genomics, proteomics, and medical records, on a project-by-project basis. They typically work independently with research labs, biotech companies, or healthcare organizations to develop algorithms, build predictive models, and interpret complex biological datasets. Their work helps drive insights in areas like drug discovery, personalized medicine, and disease prediction, often leveraging tools like Python, R, and specialized bioinformatics software. As freelancers, they have the flexibility to choose projects, set their schedules, and work remotely.

What are the key skills and qualifications needed to thrive as a freelance bioinformatics machine learning specialist?

To thrive as a Freelance Bioinformatics Machine Learning Specialist, you need a strong background in biology, statistics, and programming (such as Python or R), typically supported by a relevant degree in bioinformatics, computer science, or a related field. Familiarity with bioinformatics tools (e.g., BLAST, Bioconductor), machine learning libraries (scikit-learn, TensorFlow), and experience with cloud computing platforms are highly valuable. Strong problem-solving, communication, and project management skills help distinguish top freelancers in this field. These capabilities are crucial for independently delivering accurate, actionable biological insights to clients and efficiently managing multiple projects.

What are some common challenges freelance bioinformatics machine learning professionals face when working with multiple clients?

Freelance bioinformatics machine learning professionals often encounter challenges such as managing diverse data formats, aligning project expectations, and ensuring data privacy across multiple clients. Each client may have unique datasets, varying levels of documentation, and different computational infrastructure, requiring adaptability and strong communication skills. Balancing multiple deadlines and maintaining clear, consistent reporting are also important to foster trust and long-term collaborations.

What is the difference between Freelance Bioinformatics Machine Learning vs Freelance Data Scientist?

AspectFreelance Bioinformatics Machine LearningFreelance Data Scientist
CredentialsBackground in bioinformatics, biology, or related fields; knowledge of machine learningBackground in statistics, computer science, or related fields; strong programming skills
Work EnvironmentResearch labs, biotech companies, academic projects, freelance consultingVarious industries including finance, tech, healthcare, consulting
Industry UsagePrimarily biotech, healthcare, genomics, pharmaceutical sectorsBroad industry application including finance, marketing, tech, healthcare

Freelance Bioinformatics Machine Learning specialists focus on applying machine learning techniques to biological data, often working within biotech and healthcare sectors. In contrast, Freelance Data Scientists have a broader scope, working across multiple industries with diverse datasets. Both roles require strong analytical skills and programming expertise, but their industry focus and domain knowledge differ significantly.

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 Freelance Bioinformatics Machine Learning jobs in Virginia?

For Freelance Bioinformatics Machine Learning jobs in Virginia, the most frequently searched job titles are:

What cities in Virginia are hiring for Freelance Bioinformatics Machine Learning jobs?

Cities in Virginia with the most Freelance Bioinformatics Machine Learning job openings:

Postdoctoral Research Associate

University of Virginia

Charlottesville, VA • On-site

Full-time

Re-posted 2 days ago


University Of Virginia rating

7.9

Company rating: 7.9 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

208th of 620 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.

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Benefits

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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