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Internship Computer Science Bioinformatics Jobs in Missouri

Danaher

Software Automation Internships

Kansas City, MO · On-site

... Computer Science, or another hard science Preference for students who have completed at least 3 years of academic coursework by internship start * Experience with hands-on lab testing and technical ...

Danaher

Software Automation Internships

Columbia, MO · On-site

... Computer Science, or another hard science Preference for students who have completed at least 3 years of academic coursework by internship start * Experience with hands-on lab testing and technical ...

Danaher

Software Automation Internships

Springfield, MO · On-site

... Computer Science, or another hard science Preference for students who have completed at least 3 years of academic coursework by internship start * Experience with hands-on lab testing and technical ...

Danaher

Software Automation Internships

Independence, MO · On-site

... Computer Science, or another hard science Preference for students who have completed at least 3 years of academic coursework by internship start * Experience with hands-on lab testing and technical ...

Danaher

Software Automation Internships

Saint Louis, MO · On-site

... Computer Science, or another hard science Preference for students who have completed at least 3 years of academic coursework by internship start * Experience with hands-on lab testing and technical ...

Danaher

Software Engineer Internships

Saint Louis, MO · On-site

... in Computer Science, Software Engineering, Biomedical Engineering (with computational focus), or related field * Preference for students who have completed 3+ years of coursework by the internship ...

Danaher

Software Engineer Internships

Kansas City, MO · On-site

... in Computer Science, Software Engineering, Biomedical Engineering (with computational focus), or related field * Preference for students who have completed 3+ years of coursework by the internship ...

Danaher

Software Engineer Internships

Independence, MO · On-site

... in Computer Science, Software Engineering, Biomedical Engineering (with computational focus), or related field * Preference for students who have completed 3+ years of coursework by the internship ...

Danaher

Software Engineer Internships

Springfield, MO · On-site

... in Computer Science, Software Engineering, Biomedical Engineering (with computational focus), or related field * Preference for students who have completed 3+ years of coursework by the internship ...

Danaher

Software Engineer Internships

Columbia, MO · On-site

... in Computer Science, Software Engineering, Biomedical Engineering (with computational focus), or related field * Preference for students who have completed 3+ years of coursework by the internship ...

Jobgether

$37.75 - $51/hr

... bioinformatics, and product development. If you enjoy solving challenging technical problems in a ... Bachelor's or Master's degree in Computer Science or a related field. * At least 3 years of ...

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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 are the most commonly searched types of Computer Science Bioinformatics jobs in Missouri? The most popular types of Computer Science Bioinformatics jobs in Missouri are:
What cities in Missouri are hiring for Internship Computer Science Bioinformatics jobs? Cities in Missouri with the most Internship Computer Science Bioinformatics job openings:
Internship Computer Science Bioinformatics jobs near you
Part-time Faculty - Health Data Science & AI

Part-time Faculty - Health Data Science & AI

Saint Louis University

Saint Louis, MO

Part-time

Re-posted 8 days ago

Saint Louis University rating

8.9

Company rating: 8.9 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

31st of 553 rated colleges and universities

Job description

Who is Saint Louis University? Founded in 1818, Saint Louis University is one of the nation's oldest and most prestigious Catholic universities. SLU, which also has a campus in Madrid, Spain, is recognized for world-class academics, life-changing research, compassionate health care, and a strong commitment to faith and service.

Adjunct Assistant/Associate Professor - Health Data Science and Artificial Intelligence Applications in Medicine

Department of Health and Clinical Outcomes Research
Saint Louis University School of Medicine

Position Summary

The Department of Health and Clinical Outcomes Research at Saint Louis University School of Medicine invites applications for Adjunct Assistant or Associate Professorpositions to teach graduate-level courses and mentor students in applied health data science and artificial intelligence in medicine.

Primary Responsibilities

Adjunct faculty will teach one or more of the following courses or related electives within the Department's data science and AI curriculum:

  • Privacy, Ethics, Regulation & Policy

  • Introduction to Artificial Intelligence

  • Predictive Modeling and Machine Learning

  • Image Processing and Deep Learning

  • Bioinformatics & Biomedical / Clinical Data Analysis Natural Language Processing and Large Language Models

  • Reinforcement Learning for Clinical Decision Making

  • Telehealth & Telemedicine

  • AI for Precision Medicine & Genomics & Diagnostics

  • Research in Medicine

Additional responsibilities include:

  • Develop and deliver engaging, practice-based course materials.
  • Mentoring students on applied research and analytics projects using real-world datasets.
  • Collaborating with program leadership to ensure content quality, alignment with learning objectives, and current best practices in AI and health data analytics.
  • Participating in departmental meetings or student events, as appropriate for adjunct appointments.

Qualifications

Required:

  • Ph.D. or equivalent terminal degree in Health Data Science, Biomedical Informatics, Computer Science, Biostatistics, or a related field.

  • Demonstrated expertise in one or more areas of artificial intelligence, data science, or computational health analytics.

  • Proficiency with relevant tools and languages (e.g., Python, R, SQL, TensorFlow, PyTorch, SAS).

  • Strong communication skills and a commitment to high-quality, student-centered graduate teaching.

Preferred:

  • Experience teaching graduate courses in AI, data science, or health informatics.

  • Applied or research experience involving AI deployment in healthcare, biomedical, or clinical contexts.

  • Familiarity with regulatory, ethical, and equity considerations in digital health and AI.

  • Record of scholarly or professional contributions in data-driven healthcare innovation.

Appointment Details

  • Type:Adjunct, non-tenure track

  • Rank:Assistant or Associate Professor (commensurate with qualifications)

  • Location:Saint Louis University School of Medicine (in-person, hybrid, or online options available)

  • Start Date:Ongoing recruitment for upcoming academic terms

Application Instructions

Interested applicants should submit:

  • A cover letter outlining teaching interests and relevant experience

  • Curriculum vitae (CV)

  • Contact information for three professional references

Applications will be reviewed on a rolling basis until positions are filled.

Function

Faculty - Adjunct

Scheduled Weekly Hours:

20

Saint Louis University is an equal opportunity/affirmative action employer. All qualified candidates will receive consideration for the position applied for without regard to race, color, religion, sex, age, national origin, disability, marital status, sexual orientation, military/veteran status, gender identity, or other non-merit factors. If accommodations are needed for completing the application and/or with the interviewing process, please contact Human Resources at 314-977-5847.

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