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Internship Computer Science Bioinformatics Jobs in Saint Louis, MO

Interns will be measured against completion of the assigned tasks, including the timing, quality ... Course work or concentration in Economics, Finance, Computer Science, Supply Chain Management ...

Interns will be measured against completion of the assigned tasks, including the timing, quality ... Course work or concentration in Economics, Finance, Computer Science, Supply Chain Management ...

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Internship Computer Science Bioinformatics information

What is the difference between Internship Computer Science Bioinformatics vs Internship Data Science?

AspectInternship Computer Science BioinformaticsInternship Data Science
Required CredentialsComputer Science or Bioinformatics coursework, programming skillsStatistics, programming, data analysis skills
Work EnvironmentResearch labs, biotech companies, healthcare settingsTech firms, finance, consulting, research institutions
Employer & Industry UsageBiotech, healthcare, academic researchTechnology, finance, marketing, consulting

Internship Computer Science Bioinformatics focuses on applying computer science skills to biological data, often in healthcare or research settings. In contrast, Internship Data Science emphasizes analyzing large datasets across various industries. Both internships require programming knowledge but differ in domain focus and industry application.

What are the most commonly searched types of Computer Science Bioinformatics jobs in Saint Louis, MO?

The most popular types of Computer Science Bioinformatics jobs in Saint Louis, MO are:

Bioinformatics Data Scientist Developer

MyGradJob

Saint Louis, MO • On-site

Full-time

Re-posted 29 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.