ZipRecruiter

Log In

1

Internship Bioinformatics Software Engineer Jobs in Louisiana

micro1 AI

Bioinformatics Software Engineer

Lafayette, LA · Remote

$80 - $110/hr

Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ...

micro1 AI

Bioinformatics Software Engineer

Shreveport, LA · Remote

$80 - $110/hr

Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ...

Danaher

Software Engineer Internships

New Orleans, LA · On-site

By submitting your interest, you'll be among the first to know when internship opportunities open ... About Software Engineering Roles at Danaher Are you passionate about building real-world ...

Danaher

By submitting your interest, you'll be among the first to know when internship opportunities open ... About Software Engineering Roles at Danaher Are you passionate about building real-world ...

Danaher

Software Engineer Internships

Baton Rouge, LA · On-site

By submitting your interest, you'll be among the first to know when internship opportunities open ... About Software Engineering Roles at Danaher Are you passionate about building real-world ...

Danaher

Software Engineer Internships

Kenner, LA · On-site

By submitting your interest, you'll be among the first to know when internship opportunities open ... About Software Engineering Roles at Danaher Are you passionate about building real-world ...

Danaher

Software Engineer Internships

Shreveport, LA · On-site

By submitting your interest, you'll be among the first to know when internship opportunities open ... About Software Engineering Roles at Danaher Are you passionate about building real-world ...

Danaher

By submitting your interest, you'll be among the first to know when internship opportunities open ... About Software Engineering Roles at Danaher Are you passionate about building real-world ...

Danaher

About Automation Engineering Roles at Danaher Are you energized by solving technical problems ... internship start * Experience with hands-on lab testing and technical documentation (e.g., lab ...

Danaher

Software Automation Internships

Kenner, LA · On-site

About Automation Engineering Roles at Danaher Are you energized by solving technical problems ... internship start * Experience with hands-on lab testing and technical documentation (e.g., lab ...

Danaher

About Automation Engineering Roles at Danaher Are you energized by solving technical problems ... internship start * Experience with hands-on lab testing and technical documentation (e.g., lab ...

Danaher

About Automation Engineering Roles at Danaher Are you energized by solving technical problems ... internship start * Experience with hands-on lab testing and technical documentation (e.g., lab ...

next page

Showing results 1-20

All JobsBioinformatics Software Engineer JobsInternship Bioinformatics Software Engineer JobsInternship Bioinformatics Software Engineer Jobs in Louisiana

Internship Bioinformatics Software Engineer information

What is the difference between Internship Bioinformatics Software Engineer vs Bioinformatics Data Analyst?

AspectInternship Bioinformatics Software Engineer
Required CredentialsEnrolled in or recent graduate of Computer Science, Bioinformatics, or related fields
Work EnvironmentResearch labs, biotech companies, or academic institutions
Employer & Industry UsageUsed in biotech, pharmaceutical, and research organizations for software development
Common Search & ComparisonCompared for entry-level software development roles in bioinformatics

While both roles involve working with biological data, an Internship Bioinformatics Software Engineer focuses on developing software tools and algorithms, often requiring programming skills and software development knowledge. A Bioinformatics Data Analyst primarily analyzes biological data, using statistical and data visualization tools. The internship provides hands-on experience in coding and software creation, whereas a data analyst role emphasizes data interpretation and reporting.

What does an internship bioinformatics software engineer do?

An Internship Bioinformatics Software Engineer assists in developing and maintaining software tools used to analyze biological data, such as DNA sequences or protein structures. They often work under the supervision of senior engineers and scientists to write code, troubleshoot issues, and implement algorithms for biological research. Interns may also help process large datasets, visualize results, and collaborate with interdisciplinary teams. This role provides hands-on experience in both software development and the application of computational methods to biological problems.

What types of projects do internship bioinformatics software engineers typically work on?

Internship Bioinformatics Software Engineers often work on projects involving the development and optimization of software tools for analyzing large biological datasets, such as genomic sequences or protein structures. These projects frequently require collaboration with biologists and data scientists, offering valuable exposure to interdisciplinary teamwork. Interns may be tasked with writing code, testing algorithms, or visualizing data, all of which build practical skills in both software engineering and bioinformatics. This hands-on experience not only enhances technical proficiency but also helps interns better understand real-world applications in life sciences, setting a strong foundation for future career growth.

What are the key skills and qualifications needed to thrive as an internship bioinformatics software engineer?

To thrive as an Internship Bioinformatics Software Engineer, you need a foundational understanding of programming (often in Python, R, or Java), basic knowledge of molecular biology or genomics, and current pursuit of a degree in bioinformatics, computer science, or a related field. Familiarity with bioinformatics tools (such as BLAST, Bioconductor, or Galaxy), version control systems like Git, and experience analyzing biological datasets are typically expected. Strong problem-solving abilities, attention to detail, and effective communication skills help interns collaborate and learn in multidisciplinary teams. These skills and qualities ensure interns can contribute to meaningful research, adapt quickly to new technologies, and facilitate teamwork in complex scientific environments.
What are the most commonly searched types of Bioinformatics Software Engineer jobs in Louisiana? The most popular types of Bioinformatics Software Engineer jobs in Louisiana are:
What are popular job titles related to Internship Bioinformatics Software Engineer jobs in Louisiana? For Internship Bioinformatics Software Engineer jobs in Louisiana, the most frequently searched job titles are:
What job categories do people searching Internship Bioinformatics Software Engineer jobs in Louisiana look for? The top searched job categories for Internship Bioinformatics Software Engineer jobs in Louisiana are:
What cities in Louisiana are hiring for Internship Bioinformatics Software Engineer jobs? Cities in Louisiana with the most Internship Bioinformatics Software Engineer job openings:
Internship Bioinformatics Software Engineer jobs near you
Infographic showing various Internship Bioinformatics Software Engineer job openings in Louisiana as of August 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Bioinformatics Software Engineer

micro1 AI

New Orleans, LA • Remote

$80 - $110/hr

Part-time

Posted 9 days ago

Job description

Role Title: Computational Biology & Cheminformatics Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer’s computational drug discovery 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 interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods.
  2. Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms.
  3. Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources.
  4. Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations.
  5. Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios.
  6. Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability.
  7. Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations.


Preferred Qualifications

  1. Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.
  2. Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker.
  3. Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE.
  4. Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows.
  5. Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.
  6. Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports.
  7. Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus.

Apply