ZipRecruiter

Log In

1

Internship Biological Data Analyst Jobs in Utah (NOW HIRING)

micro1 AI

Computational Biologist - AI Reviewer

Provo, UT · On-site +1

$90 - $120/hr

Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry. * Provide feedback and domain-specific insights to improve AI models in computational ...

micro1 AI

Cheminformatics Specialist - Remote

Provo, UT · On-site +1

$90 - $120/hr

Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry. * Provide feedback and domain-specific insights to improve AI models in computational ...

Siemens

$22 - $24/hr

... or Data Analyst for Siemens. What is the FLDP Internship: The Finance Internship is a 12-week ... summer internship program that allows the opportunity to experience the day-to-day functions of a ...

next page

Showing results 1-20

All JobsBiological Data Analyst JobsInternship Biological Data Analyst JobsInternship Biological Data Analyst Jobs in Utah

Internship Biological Data Analyst information

What does an internship biological data analyst do?

An Internship Biological Data Analyst assists in collecting, organizing, and analyzing biological data, often using statistical and computational tools. Interns typically work under the guidance of senior analysts or researchers, supporting projects such as genomics, ecology, or clinical studies. Their responsibilities may include cleaning datasets, performing basic analyses, creating visualizations, and interpreting results to help answer scientific questions. This role provides valuable experience in data science and biology, and helps interns develop technical and analytical skills relevant to the field.

What are the key skills and qualifications needed to thrive as an internship biological data analyst?

To thrive as an Internship Biological Data Analyst, you need a solid understanding of biology, statistics, and data analysis, typically supported by coursework or a degree in bioinformatics, biology, or a related field. Familiarity with data analysis tools like R, Python, and experience with bioinformatics databases and platforms is strongly preferred. Strong analytical thinking, attention to detail, and effective communication skills help interns interpret complex data and collaborate with research teams. These skills and qualities are crucial for accurately analyzing biological datasets and contributing meaningful insights to scientific projects.

What types of projects can an internship biological data analyst expect to work on, and how are tasks typically assigned within the team?

As an Internship Biological Data Analyst, you can expect to work on projects involving the analysis and interpretation of biological datasets, such as genomic, proteomic, or clinical data. Tasks are often assigned based on current research priorities and your background, with interns commonly supporting senior analysts by cleaning data, running statistical analyses, and visualizing results. You will collaborate closely with other analysts, biologists, and sometimes software engineers, gaining exposure to interdisciplinary teamwork. Regular meetings and check-ins help ensure you understand your responsibilities and provide opportunities for mentorship and feedback.

How to become an Internship Biological Data Analyst?

To become an internship biological data analyst, candidates typically need a bachelor's degree in biology, bioinformatics, data science, or a related field. Developing skills in data analysis tools such as R or Python, understanding biological datasets, and gaining experience through coursework or projects are important. Internships often require strong analytical skills, attention to detail, and familiarity with biological research environments.

What type of internship can I get for internship biological data analyst?

Internships for biological data analysts typically include research assistant positions, data analysis internships, or laboratory-based roles in academic, government, or private sector organizations. These internships often require skills in data management, statistical software, and biological sciences, and may be offered as summer or semester programs to students or recent graduates.

What are the most commonly searched types of Biological Data Analyst jobs in Utah?

The most popular types of Biological Data Analyst jobs in Utah are:

What cities in Utah are hiring for Internship Biological Data Analyst jobs?

Cities in Utah with the most Internship Biological Data Analyst job openings:

Internship Biological Data Analyst jobs near you

Computational Biologist - AI Reviewer

micro1 AI

Saint George, UT • On-site, Remote

$90 - $120/hr

Part-time

Posted 24 days ago

Job description

Role Title: Computational Biology Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology Experts to contribute their advanced scientific knowledge to a dynamic customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry.
  2. Provide feedback and domain-specific insights to improve AI models in computational biology contexts.
  3. Evaluate scientific content for accuracy, relevance, and clarity, ensuring data aligns with industry standards.
  4. Develop and review problem sets, case studies, or scenarios based on real-world medicinal chemistry challenges.
  5. Collaborate asynchronously with other experts to validate findings and share perspectives on project deliverables.
  6. Contribute to the refinement of data curation methodologies and best practices in computational biology.


Preferred Qualifications

  1. Advanced degree (PhD, PharmD, or MSc) in computational biology, medicinal chemistry, bioinformatics, or a closely related field.
  2. Demonstrated expertise in medicinal chemistry, including experience with drug discovery or design.
  3. Strong analytical skills with a deep understanding of biological datasets and scientific literature.
  4. Experience applying computational methods to solve problems in chemistry or biology.
  5. Proficiency with relevant bioinformatics tools, cheminformatics platforms, or data analysis software.
  6. Excellent written communication skills to clearly explain complex scientific concepts to diverse audiences.
  7. Previous participation in cross-disciplinary or AI-driven scientific projects is a plus.

Apply