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Internship Computer Science Bioinformatics Jobs (NOW HIRING)

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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Bachelor's degree in Biomedical Engineering, Computer Science, Bioinformatics, or a related equivalent field. * 2+ years of relevant professional experience. Preferred Qualifications: * Master ...

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Internship Computer Science Bioinformatics information

Is AI going to replace bioinformatics?

AI is a tool that enhances bioinformatics by automating data analysis and pattern recognition, but it is not expected to fully replace the field. Bioinformatics professionals, including those in internship roles, will continue to develop and interpret AI-driven models, requiring skills in programming, data management, and biological knowledge.

What are the big 4 internships?

The 'Big 4' internships typically refer to the internship programs offered by the four largest professional services firms: Deloitte, PricewaterhouseCoopers (PwC), Ernst & Young (EY), and KPMG. These firms offer internships in areas such as consulting, audit, tax, and advisory, providing valuable experience for computer science bioinformatics students interested in data analysis, cybersecurity, or technology consulting within a professional services environment.

What jobs can I get with a degree in bioinformatics?

A degree in bioinformatics can lead to roles such as bioinformatics analyst, computational biologist, research scientist, or data analyst in healthcare, pharmaceuticals, or biotech companies. These positions often require skills in programming, data analysis, and familiarity with tools like Python, R, or SQL.

Which internship is best for a CS student?

The best internship for a CS student depends on their interests and career goals, but bioinformatics internships often involve working with biological data, programming in languages like Python or R, and using tools such as Linux or cloud platforms. Look for internships that offer hands-on experience, mentorship, and opportunities to develop skills in data analysis, algorithms, and software development. Certifications or coursework in biology or data science can also enhance your application.

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 cities are hiring for Internship Computer Science Bioinformatics jobs? Cities with the most Internship Computer Science Bioinformatics job openings:
What are the most commonly searched types of Computer Science Bioinformatics jobs? The most popular types of Computer Science Bioinformatics jobs are:
What states have the most Internship Computer Science Bioinformatics jobs? States with the most job openings for Internship Computer Science Bioinformatics jobs include:

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 6 days ago


Job description

As a Bioinformatics Engineer at AccuScan Sciences, you will develop, optimize, and maintain bioinformatics pipelines utilizing AWS infrastructure and Nextflow workflow management systems. Your contributions will directly impact innovative scientific discoveries and product development. You'll collaborate closely with scientists, engineers, and researchers, contributing your technical expertise to streamline processes, maintain automation, and drive our bioinformatics capabilities forward.

Responsibilities:

  • Design, implement, and develop tests and documentation for established robust bioinformatics pipelines.
  • Optimize computational workflows for high-performance execution and reproducible data analysis.
  • Maintain, monitor, and improve pipeline automation to ensure smooth operational workflows.
  • Manage GitHub repositories, oversee version control, and streamline the software release process.
  • Develop and manage infrastructure on AWS to ensure scalability, reliability, and efficiency.
  • Collaborate with cross-functional teams to integrate bioinformatics solutions.
  • Proactively identify opportunities to enhance infrastructure efficiency and security.

Requirements

Qualifications:

    • Bachelor's degree or higher in Bioinformatics, Computational Biology, Computer Science, or a related field. with at least 3+ years of working experience out of college.
    • Experience with bioinformatics workflow development and optimization, particularly using Nextflow.
    • Experience developing software following best practices, including comprehensive testing and clear documentation.
    • Proficiency in scripting languages (Python, Bash) and familiarity with container technologies (Docker, Kubernetes).
    • Hands-on experience with AWS cloud computing services (EC2, S3, Batch, Lambda).
    • Excellent communication and collaborative skills.

Preferred Qualifications:

  •  Familiarity with CI/CD practices.
  • Experience with infrastructure-as-code (Terraform, CloudFormation).

Benefits

  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k, IRA)
  • Paid Time Off (Vacation, Sick & Public Holidays)