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Computer Science Proteomics Jobs (NOW HIRING)

Ucf

Post Doctoral Scholar

Orlando, FL

$57K/yr

... single-cell and bulk proteomics methodologies. * Write and publish high-impact scientific ... Department College of Engineering and Computer Science (CECS) - Materials Science and Engineering ...

Earli, Inc.

Senior Scientist, Bio AI

Redwood City, CA · On-site

$205K - $235K/yr

... proteomics, phospho-proteomics etc.) using individual as well as coherent multi-omic ML-based ... Master's or PhD degree in a relevant field (bioengineering, computer science, data science, etc ...

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Computer Science Proteomics information

How does a Computer Science Proteomics professional typically collaborate with biologists and lab researchers on data analysis projects?

Computer Science Proteomics professionals often work closely with biologists and lab researchers to interpret complex proteomic data. They translate experimental requirements into computational workflows, assist in developing algorithms for protein identification and quantification, and present data results in accessible formats. Effective communication and interdisciplinary teamwork are essential, as these professionals bridge the gap between raw data and biological insight. Regular meetings, collaborative troubleshooting, and joint publications are common aspects of this collaboration.

What are the key skills and qualifications needed to thrive as a Computer Science Proteomics Specialist, and why are they important?

To thrive as a Computer Science Proteomics Specialist, you need a solid background in computer science, bioinformatics, and proteomics, often supported by advanced degrees in related fields. Familiarity with mass spectrometry data analysis tools, programming languages like Python or R, and bioinformatics software is typically required. Strong analytical thinking, problem-solving, and communication skills help you interpret complex data and collaborate with interdisciplinary teams. Mastery of these skills ensures accurate protein analysis and drives meaningful biological discoveries in research and applied settings.

What is computer science proteomics?

Computer science proteomics is an interdisciplinary field that combines computational methods with proteomics, the large-scale study of proteins, to analyze and interpret complex biological data. Professionals in this area develop algorithms, software, and databases to process data from mass spectrometry and other experiments, enabling researchers to identify, quantify, and understand proteins and their functions. This field is crucial for advancing our knowledge in biology, medicine, and biotechnology, as it helps to uncover protein interactions, modifications, and their roles in diseases.

What is the difference between Computer Science Proteomics vs Bioinformatics?

AspectComputer Science ProteomicsBioinformatics
Required CredentialsBachelor's or Master's in Computer Science, Bioinformatics, or related fieldsBachelor's or Master's in Bioinformatics, Biology, or related fields
Work EnvironmentResearch labs, biotech companies, academic institutionsResearch labs, healthcare, biotech, academia
Industry UsageAnalyzing proteomics data using computational methodsAnalyzing biological data, including genomics and proteomics
Search & Comparison IntentFocus on computational analysis of proteomics dataBroader biological data analysis including proteomics

Computer Science Proteomics primarily involves developing computational tools to analyze proteomics data, while Bioinformatics encompasses a broader range of biological data analysis, including genomics and proteomics. Both roles require similar educational backgrounds but differ in focus and application areas.

Infographic showing various Computer Science Proteomics job openings in the United States as of May 2026, with employment types broken down into 20% As Needed, 20% Temporary, 40% Contract, and 20% Nights. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution.
Associate Professor or Full Professor in the College of Connected Computing

Associate Professor or Full Professor in the College of Connected Computing

Vanderbilt University

Nashville, TN • On-site

Full-time

Posted 25 days ago

Vanderbilt University rating

7.8

Company rating: 7.8 out of 10

Based on 38 frontline employees who took The Breakroom Quiz

192nd of 534 rated colleges and universities

Job description

Description
Vanderbilt University is conducting a search for multiple Associate or Full Professors in computer science or its intersection with psychological, informatics, or biological fields. The faculty will be part of Vanderbilt's new College of Connected Computing, housing computer science, data science, and working collaboratively on unique questions at the intersection of computing with other disciplines to advance breakthrough discoveries, with the possibility for secondary and joint appointments.
This is an open search for all areas of computational research. Areas we have a particular interest are especially encouraged to apply:
  • AI (e.g., multi-modal learning, robotics, natural language processing, applied machine learning, reinforcement learning, safety & ethics, agent/reasoning models),
  • Computational Psychology (e.g., computation for cognitive, social, clinical, affective, or developmental psychology; psychometrics; computational linguistics; computational neuroscience), and
  • Computational Biology (e.g., genomics, proteomics, informatics, systems biology, evolutionary computation, wearables or digital health, other computational biology).

Vanderbilt University is a private university located on 330 park-like acres on the western edge of downtown Nashville, Tennessee. Nashville is a regional center for culture and technology which has been growing alongside the University since Vanderbilt's opening 150 years ago, in 1875.
Qualifications
Candidates must have a Ph.D. in computer science, psychology, biology (or a related field such as statistics, data science, communications, or neuroscience). Candidates must have a research program with a strong record of peer-reviewed publications using advanced computational methods (such as computational modeling, machine learning, AI, or algorithm development). Candidates should also have a track record of contributing to multidisciplinary and/or multi-institutional collaborative research projects. Teaching in the College of Connected Computing is a component of this position.
Application Instructions
To proceed administratively, we ask that candidates provide information to Vanderbilt through Interfolio by following these links:
Associate or Full: https://apply.interfolio.com/175978
Assistant (TT): https://apply.interfolio.com/175958
Please provide a cover letter, curriculum vitae, research statement, teaching statement, service statement (for associate/full professors), evaluations of teaching (if available), and 3 to 5 contacts for letters of reference. The cover letter should articulate the applicant's specific interest in this position, explain how this role aligns with their career goals, and/or discuss their fit. Application review will begin November 1, 2025.
The priority deadline for Computational Psychology is 11/1/2025, and for AI, Computational Biology, and others, it is 12/1/2025.

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