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Hourly Computer Science Bioinformatics Jobs in St Louis, MO

St. Louis Science Center

Security Officer

Saint Louis, MO · On-site

$20.67/hr

Job Type Full-time Description Come join our team at the Saint Louis Science Center as a full-time ... Able to use a computer. * Have reliable transportation to and from work. * Perform control room ...

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Hourly Computer Science Bioinformatics information

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$5

$42

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

As of Aug 14, 2026, the average hourly pay for hourly computer science bioinformatics in St. Louis, MO is $41.60, according to ZipRecruiter salary data. Most workers in this role earn between $41.35 and $41.83 per hour, depending on experience, location, and employer.

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 are the key skills and qualifications needed to thrive as an hourly Computer Science Bioinformatics professional?

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 is an hourly Computer Science Bioinformatics?

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.

What are popular job titles related to Hourly Computer Science Bioinformatics jobs in St. Louis, MO?

For Hourly Computer Science Bioinformatics jobs in St. Louis, MO, the most frequently searched job titles are:

What job categories do people searching Hourly Computer Science Bioinformatics jobs in St. Louis, MO look for?

The top searched job categories for Hourly Computer Science Bioinformatics jobs in St. Louis, MO are:

Hourly Computer Science Bioinformatics jobs near you
Infographic showing various Hourly Computer Science Bioinformatics job openings in St. Louis, MO as of June 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 $86,528 per year, or $41.6 per hour.

Bioinformatics Data Scientist Developer

MyGradJob

Saint Louis, MO • On-site

Full-time

Re-posted 19 days ago

Job description

Company Description

Benson Hill Biosystems solves the world's greatest challenges by combining plant biology, data analytics and cloud computing.

Job Description

APPLY HERE!!   http://mygradjob.com/job/bioinformatics-data-scientist-and-developer/


The Bioinformatics Data Scientist Developer will design, develop, and maintain a robust, cloud-based computational biology infrastructure as part of the computational biology group at Benson Hill Biosystems. This role has a wide array of responsibilities, from primary data analysis to the management of cloud-based distributed compute systems. The successful candidate will possess a deep understanding of bioinformatic processes, statistics, database design, algorithm development, and the design and implementation of complex computational systems.

Key Responsibilities:

  • Design, develop and deploy cloud-based computational platforms to facilitate the research and development process within the Computational Biology group.
  • Administer cloud based infrastructure and environment.
  • Assist in the design and implementation of data-analysis platforms, pipelines, and provisioning platforms.
  • Assist Computational Biology scientific personnel in leveraging infrastructure resources.
  • Maintain detailed and organized records of project design, implementation, and other materials as needed.
Qualifications

Education and Experience:

  • B.S/M.S. in computer science, bioinformatics, statistics, and/or a related field.
  • Minimum of five years of relevant experience.

Qualifications:

The ideal candidate will have the following knowledge, experience, education, and capabilities:

  • Direct experience with data analytics and visualizations of complex data.
  • Direct experience with plant genomics and genome-scale data analysis.
  • Proven computing and programming skills. Computing skills should include expertise with Unix/Linux environments and distributed and/or virtualized infrastructure.
  • Proven programming skills, including Perl or Python, R, and at least one compiled language.
  • Experience with Amazon Web Services cloud computing infrastructure.
  • Proven expertise with SQL database design, implementation, and maintenance.
  • Excellent oral and written communication skills and the ability to work in a multi-disciplinary setting.
  • A track record of producing deliverables and meeting aggressive and inflexible deadlines.
  • Ability to multi-task and take on new and diverse assignments as necessary in a fast-moving startup atmosphere.
  • Ability to work autonomously and collaboratively as part of a team.
  • Excellent planner, organizer, critical thinker, and problem solver with a demonstrated ability to efficiently execute project tasks.
Additional Information

All your information will be kept confidential according to EEO guidelines.

Apply