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Part Time Bioinformatics Data Scientist Jobs in Missouri

... clinical data sources. * Provide expert insights on structure-activity and structure-property ... Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance ...

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Part Time Bioinformatics Data Scientist information

What does a part time bioinformatics data scientist do?

A part time bioinformatics data scientist analyzes and interprets complex biological data, such as genetic sequences, using computational and statistical methods. They often work with researchers to support projects in areas like genomics, proteomics, or drug discovery, but on a reduced or flexible schedule. Their tasks may include developing algorithms, managing large datasets, and visualizing results to help advance biological research or healthcare outcomes.

How does a part time bioinformatics data scientist typically balance independent data analysis with collaborative research efforts?

As a part-time Bioinformatics Data Scientist, you’ll often manage your own data analysis projects while simultaneously collaborating with research teams. This balance usually involves independently processing and interpreting complex datasets, then sharing your findings in regular meetings or through detailed reports. Collaboration is key—expect to work closely with biologists, clinicians, and software engineers to ensure data-driven insights align with larger scientific goals. Flexibility and strong communication skills are essential, as you may need to coordinate schedules and adapt to shifting project priorities.

What are the key skills and qualifications needed to thrive as a part time bioinformatics data scientist, and why are they important?

To thrive as a Part Time Bioinformatics Data Scientist, you need a strong background in biology, statistics, and programming, often supported by a degree in bioinformatics, computational biology, or a related field. Experience with tools like Python, R, and bioinformatics platforms such as BLAST or Bioconductor, as well as familiarity with data visualization and analysis software, is typically required. Strong analytical thinking, attention to detail, and effective communication help distinguish professionals in this role. These skills ensure accurate data interpretation, successful collaboration with research teams, and meaningful contributions to scientific discoveries.

What is the difference between Part Time Bioinformatics Data Scientist vs Part Time Bioinformatics Analyst?

AspectPart Time Bioinformatics Data ScientistPart Time Bioinformatics Analyst
Required CredentialsBachelor's or Master's in Bioinformatics, Computer Science, or related field; experience with data analysis and programmingBachelor's in Bioinformatics, Biology, or related field; skills in data analysis and biological data interpretation
Work EnvironmentResearch labs, biotech companies, academic institutionsResearch institutions, healthcare organizations, biotech firms
Employer & Industry UsageUsed in biotech, pharma, research projects requiring complex data modelingUsed in clinical research, data reporting, and biological data interpretation

While both roles involve bioinformatics and data analysis, the Part Time Bioinformatics Data Scientist typically focuses on developing models, algorithms, and advanced data analysis, often requiring programming expertise. The Part Time Bioinformatics Analyst generally concentrates on interpreting biological data, generating reports, and supporting research teams. Both roles are essential in biotech and research settings but differ in technical depth and project scope.

What are the most commonly searched types of Bioinformatics Data Scientist jobs in Missouri?

The most popular types of Bioinformatics Data Scientist jobs in Missouri are:

What are popular job titles related to Part Time Bioinformatics Data Scientist jobs in Missouri?

For Part Time Bioinformatics Data Scientist jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Part Time Bioinformatics Data Scientist jobs in Missouri look for?

The top searched job categories for Part Time Bioinformatics Data Scientist jobs in Missouri are:

What cities in Missouri are hiring for Part Time Bioinformatics Data Scientist jobs?

Cities in Missouri with the most Part Time Bioinformatics Data Scientist job openings:

Part-time Faculty - Health Data Science & AI

Saint Louis University

Saint Louis, MO • On-site

$57K - $57K/yr

Part-time

Re-posted 17 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

34th of 622 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 Professor positions 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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