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Mid Level Biology Data Science Jobs (NOW HIRING)

Develop and apply advanced statistical, machine learning, and computational methods to biological ... Mentor junior and mid-level data scientists, supporting their technical growth, project execution ...

Develop and apply advanced statistical, machine learning, and computational methods to biological ... Mentor junior and mid-level data scientists, supporting their technical growth, project execution ...

Professor - Data Science - Tenured Department: Proteomics Salary: Open Posting Summary: Rutgers ... biological macromolecules, to be appointed at the level of tenured Professor or above. This role ...

We are seeking a Mid-Level Data Scientist to provide embedded automation and GEOINT integration support. In this role, you will design and implement automation and augmentation capabilities that ...

As a mid-level data scientist supporting a Space Force program, you will contribute to analytic development and mission-focused modernization across space-based GEOINT environments. You will work ...

As a mid-level data scientist supporting a Space Force program, you will contribute to analytic development and mission-focused modernization across space-based GEOINT environments. You will work ...

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As of Jul 2, 2026, the average yearly pay for mid level biology data science in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.
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Research Assistant Professor of Computer Science - Omics Data Science for Immuno-Engineering

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

University of Oklahoma

Norman, OK • On-site

Full-time

Posted 17 days ago


University Of Oklahoma rating

8.1

Company rating: 8.1 out of 10

Based on 67 frontline employees who took The Breakroom Quiz

134th of 544 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.

Industry

Education

Company size

5,001 - 10,000 Employees

Headquarters location

Norman, OK, US

Year founded

1890