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Hourly Computer Science Bioinformatics Jobs (NOW HIRING)

Saint Louis University

... Science, beginning Fall 2026 . Appointment rank is open and will be commensurate with experience ... bioinformatics, computer networking, computer vision, graphics and Virtual Reality, high ...

Active Motif Inc

Bioinformatics Scientist

Carlsbad, CA · On-site

$95K - $125K/yr

MS or PhD in Bioinformatics, Computational Biology, Genomics, Computer Science, Statistics, or related field. * Minimum 2 years of post-graduate academic or industry experience in bioinformatics or ...

Active Motif Inc

Bioinformatics Scientist

Carlsbad, CA · On-site

$95K - $125K/yr

MS or PhD in Bioinformatics, Computational Biology, Genomics, Computer Science, Statistics, or related field. * Minimum 2 years of post-graduate academic or industry experience in bioinformatics or ...

Nationwide Children's Hospital

PhD in Bioinformatics, Computational Biology, Computer Science, Biology, Genetics, or related field, required. Skills: * Must have diverse computational and biological expertise. * Must have ...

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How much do hourly computer science bioinformatics jobs pay per hour?

As of Jun 2, 2026, the average hourly pay for hourly computer science bioinformatics in the United States is $42.79, according to ZipRecruiter salary data. Most workers in this role earn between $42.55 and $43.03 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Hourly Computer Science Bioinformatics professional, and why are they important?

To thrive as an Hourly Computer Science Bioinformatics professional, you need a strong background in computer science, programming (such as Python or R), and a solid understanding of biological data analysis, often supported by a degree in bioinformatics, computer science, or related fields. Familiarity with bioinformatics tools (e.g., BLAST, Bioconductor), databases, and version control systems like Git is typically required. Strong analytical thinking, attention to detail, and effective communication skills help you interpret complex data and collaborate with interdisciplinary teams. These skills and qualities are crucial for generating accurate insights from biological datasets and driving successful research outcomes.

What types of projects might I work on as an hourly Computer Science Bioinformatics professional?

As an hourly Computer Science Bioinformatics professional, you can expect to be involved in projects such as analyzing large-scale biological datasets, developing bioinformatics tools or pipelines, and supporting research teams with data processing tasks. Your work may include tasks like writing scripts to automate data analysis, maintaining databases of genetic information, or collaborating with biologists to interpret results. The variety and scope of projects will often depend on the organization's focus—whether it's genomics, proteomics, or clinical research—and you may find yourself working both independently and as part of multidisciplinary teams.

What is an Hourly Computer Science Bioinformatics job?

An Hourly Computer Science Bioinformatics job involves applying computer science techniques to solve biological data problems, such as analyzing DNA sequences or managing large biological datasets. These roles are typically temporary or contract-based, where individuals are paid by the hour rather than salaried. Bioinformaticians in these positions may work on tasks like developing algorithms, writing code for data analysis, or supporting research projects. The flexibility of hourly work allows companies to hire experts for specific projects or periods of need.
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Hourly Computer Science Bioinformatics jobs near you
Infographic showing various Hourly Computer Science Bioinformatics job openings in the United States as of May 2026, with employment types broken down into 83% Full Time, and 17% Part Time. Highlights an 100% In-person job distribution, with an average salary of $89,000 per year, or $42.8 per hour.
Principal Scientist, Bioinformatics

Principal Scientist, Bioinformatics

Nkarta, Inc.

South San Francisco, CA • Hybrid

Other

Posted 17 days ago

Job description

Overview

Nkarta is seeking a highly motivated, collaborative, detail-oriented Principal Scientist to join our Translational Medicine team. This is a high-impact, hands-on leadership role for a senior bioinformatics scientist. The successful candidate will have deep expertise in single-cell and spatial omics technologies, along with experience in functional genomics and leading computational biology and/or bioinformatics programs in a biotech or pharmaceutical setting.

This individual will work collaboratively within Translational Medicine and cross-functionally to advance, support, and execute biomarker discovery, mechanism-of-action (MOA) investigations, and translational data analysis from clinical samples. A central focus of this role is to drive and execute on Nkarta's strategy for single-cell and spatial transcriptomics, leveraging scRNA-seq, spatial, and functional genomics approaches to drive translational insights, biomarker development, and clinical decision-making in early development.

Responsibilities

  • Lead and actively participate in the design and execution of computational strategies and hands-on analysis of clinical and biological datasets to support go/no-go decisions
  • Hands-on development and application of computational methods for single-cell and spatial transcriptomics to generate actionable translational insights from clinical samples
  • Establish scalable pipelines for multi-modal data integration across programs
  • Integrate and analyze functional genomics datasets (e.g., bulk RNA-seq) to generate mechanistic insights that inform translational and clinical strategies
  • Provide high-impact analyses with direct influence on clinical decision-making and visibility to senior leadership
  • Collaborate with senior leadership to define priorities, allocate resouces, and establish timelines aligned with company objectives
  • Partner with experimental scientists to design studies leveraging advanced omics approaches and interpret results
  • Ensure reproducibility, scalability, and data quality across bioinformatics pipelines
  • Communicate complex findings effectively to scientific and non-scientific stakeholders, including senior leadership

Qualifications

  • Deep expertise in single-cell and spatial transcriptomics analysis, including scRNA-seq and related high-dimensional omics datasets
  • Strong experience analyzing functional genomics and transcriptomic data (e.g., bulk RNA-seq, WES) to derive biological and translational insights
  • Strong foundation in biological sciences, with experience or interest in immunology and disease biology
  • Deep understanding of modern statistical and computational methods for high-dimensional data analysis
  • Proficiency in Python and/or R, with experience using relevant bioinformatics frameworks
  • Experience developing and maintaining scalable data analysis pipelines and working with cloud-based infrastructure (e.g., AWS)
  • Excellent communication and presentation skills, with the ability to influence cross-functional stakeholders and translate complex data into clear, actionable insights
  • Demonstrated experience managing external CROs and bioinformatics vendors
  • Proven leadership experience, including mentoring and developing scientific teams
  • Strong cross-functional collaboration skills and ability to translate computational insights into biological and clinical impact
  • Ability to work both independently and collaboratively in a fast-paced environment, with strong organizational skills and attention to detail

Education/Background

  • PhD in Biological Sciences, Computational Biology, Biostatistics, Bioinformatics, Genomics, or a closely related discipline with 5+ years of industry experience.

The common requirements of an office environment (computers, computer screens, workstations, etc.) apply. This role is based in the South San Francisco office, with hybrid work arrangements possible.

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