ZipRecruiter

Log In

1

Computer Science Proteomics Jobs (NOW HIRING)

Earli, Inc.

Senior Scientist, Bio AI

Redwood City, CA

$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 ...

The Pennsylvania State University

Candidates willpossessa PhD in Artificial Intelligence, Computer Science, Computer Engineering ... proteomics, metabolomics, and related technologies. Successful candidates will be expected to ...

Alamar Biosciences

Senior Software Engineer

Fremont, CA · On-site

$134K - $176K/yr

Operate as part of a team developing proteomic machines, algorithms, and machine and web user ... Master's degree in engineering or computer science. * Four years of C# programming experience is ...

next page

Showing results 1-20

People also search for

All JobsComputer Science Proteomics Jobs

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.
Senior Scientist, Bio AI

Senior Scientist, Bio AI

Earli, Inc.

Redwood City, CA

$205K - $235K/yr

Other

Posted 27 days ago

Job description

The Position

Earli Inc. is currently seeking a top caliber Senior Scientist, Bio AI to join our Synthetic Bioengineering team.

Your Primary Responsibilities

  • Leverage cutting-edge ML, bioinformatics, and high-throughput assay data to design cancer-specific synthetic promoters and novel genetic medicines that will directly impact Earli's clinical pipeline.
  • Train generative AI models for designing genetic medicines by leveraging Earli's proprietary Massively Parallel Reporter Assay (MPRA) data as well as external data sets
  • Contribute to wet lab experimental design and data evaluation to benchmark AI model performance against ground truth wet lab data and create a rapid iteration loop
  • Perform routine computational analyses to analyze MPRA and other large experimental datasets using existing packages as well as bespoke analysis where needed. Provide accessible interfaces (e.g. Shiny apps) for routine data analysis (e.g. RNAseq profiling) for team members
  • Perform routine bioinformatic analyses on multi-modal omics data (RNAseq and scRNA-seq, ATAC-seq, proteomics, phospho-proteomics etc.) using individual as well as coherent multi-omic ML-based pipelines to identify key dysregulated targets and pathways in selected cancer indications
  • Routinely deploy code and execute on Earli's infrastructure hosted by Cloud Service Providers (e.g. GCP) with appropriate engineering adaptations as needed. Help develop and work within budgets for GPU usage/compute

Your Required Experience, Knowledge and Skill

  • Master's or PhD degree in a relevant field (bioengineering, computer science, data science, etc.) with a minimum of 3 years of hands-on experience using AI/ML applied to genomic/bioinformatic data using state-of-the-art GenAI models
  • Deep, direct expertise (preferably with high-quality publications) in developing novel GenAI models trained on massive biological data. Hands-on expertise in model training, fine-tuning, and in silico evaluation is a pre-requisite for this role.
  • An expert level of competence in data analysis on large and complex empirical data, such as MPRA data, multi-modal omics data, etc.
  • Familiarity with and prior experience collaborating with wet lab scientists to generate and curate high-throughput screening data on large libraries of DNA or RNA sequences
  • Proficiency in routine bioinformatic analyses such as differential gene expression, ATAC-seq and RNA-seq analysis, etc.
  • Expert level coding skills in Python and R
  • Basic knowledge of fundamental cancer biology is required. Deep expertise in cancer -omics, biomarkers, targets and pathways is preferred
  • Excellent verbal and written communication as well as interpersonal skills are required
  • Able to multi-task, manage multiple projects simultaneously and work effectively within a team
  • Ability to think independently and fully integrate into a high achieving team environment

The base salary for this position is $205,000-$235,000 per year.

Apply