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Freelance Bioinformatics Machine Learning Jobs in Oklahoma

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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 popular job titles related to Freelance Bioinformatics Machine Learning jobs in Oklahoma? For Freelance Bioinformatics Machine Learning jobs in Oklahoma, the most frequently searched job titles are:
What job categories do people searching Freelance Bioinformatics Machine Learning jobs in Oklahoma look for? The top searched job categories for Freelance Bioinformatics Machine Learning jobs in Oklahoma are:
What cities in Oklahoma are hiring for Freelance Bioinformatics Machine Learning jobs? Cities in Oklahoma with the most Freelance Bioinformatics Machine Learning job openings:
Freelance Bioinformatics Machine Learning jobs near you

Research Assistant Professor of Computer Science - Omics Data Science for Immuno-Engineering

University of Oklahoma

Norman, OK • On-site

Full-time

Re-posted 28 days ago

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8.1

Company rating: 8.1 out of 10

Based on 68 frontline employees who took The Breakroom Quiz

162nd of 618 rated colleges and universities

Job description

Description
The School of Computer Science at the University of Oklahoma invites the applications for two non-tenure track Research Assistant Professor positions in Omics Data Science and Bioinformatics for Immuno-Engineering. These research-focused faculty positions will support interdisciplinary multi-omics research through collaborative data analysis and methodology development for immuno-engineering applications.
Responsibilities
The successful candidates will be expected to:
• Collaborate with investigators on the design and analysis of multi-omics studies;
• Develop, validate, and apply computational workflows for large-scale omics data, including single-cell and spatial data;
• Support data integration, interpretation, manuscript preparation, and data sharing;
• Lead research and development of new bioinformatics, machine learning, and data science methods for immuno-engineering;
• Develop grant applications and contribute to proposals in immuno-engineering;
• Participate in workshops, consultations, and other collaborative research activities.
Qualifications
Applicants must have a Ph.D. in Computer Science, Bioinformatics, Computational Biology, Data Science, Biomedical Informatics, Statistics, or a closely related field. Candidates should have experience in computational analysis of biological or biomedical data, strong programming skills, experience with scalable computing environments, and the ability to work effectively in interdisciplinary teams.
Application Instructions
Applicants should submit a cover letter, CV, and contact information for three references to interfolio. Applications will be reviewed until the position is filled.

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About University of Oklahoma

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The University of Oklahoma is a prominent educational institution positioned in Norman, Oklahoma, US. Established in 1890, the university stakes a claim within the higher education industry and has a storied history of excellence in academics and research. Serving over 20,000 students, the university offers a wide range of programs across fields such as arts and sciences, business, engineering, international studies, and more. Emphasizing a dedication to unlocking potential, OU's mission is to provide the best possible educational experience to students through excellence in teaching, research, and creative activity. Notably, the institution has made significant strides in research with a focus on areas such as cancer, aerospace, and energy among others.

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5,001 - 10,000 Employees

Headquarters location

Norman, OK, US

Year founded

1890

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