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Internship Bioinformatics Software Engineer Jobs

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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Internship Bioinformatics Software Engineer information

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How much do internship bioinformatics software engineer jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for internship bioinformatics software engineer in the United States is $25.42, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $28.85 per hour, depending on experience, location, and employer.

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.
More about Internship Bioinformatics Software Engineer jobs
What cities are hiring for Internship Bioinformatics Software Engineer jobs? Cities with the most Internship Bioinformatics Software Engineer job openings:
What are the most commonly searched types of Bioinformatics Software Engineer jobs? The most popular types of Bioinformatics Software Engineer jobs are:
What states have the most Internship Bioinformatics Software Engineer jobs? States with the most job openings for Internship Bioinformatics Software Engineer jobs include:
Infographic showing various Internship Bioinformatics Software Engineer job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 87% Full Time, 8% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $52,867 per year, or $25.4 per hour.

Bioinformatics Software Engineer

micro1 AI

Billings, MT โ€ข 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 customerโ€™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 โ€” 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, Schrรถdinger, 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.