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Intern Remote Computational Biology Jobs in Indiana

micro1 AI

Bioinformatics Software Engineer

Fort Wayne, IN · Remote

$80 - $110/hr

Computational Biology & Cheminformatics Expert Role Type: Contractor Location: Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer ...

micro1 AI

Bioinformatics Software Engineer

Evansville, IN · Remote

$80 - $110/hr

Computational Biology & Cheminformatics Expert Role Type: Contractor Location: Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer ...

micro1 AI

Bioinformatics Software Engineer

Carmel, IN · Remote

$80 - $110/hr

Computational Biology & Cheminformatics Expert Role Type: Contractor Location: Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer ...

micro1 AI

Bioinformatics Software Engineer

Fishers, IN · Remote

$80 - $110/hr

Computational Biology & Cheminformatics Expert Role Type: Contractor Location: Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer ...

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All JobsIntern Computational Biology JobsIntern Remote Computational Biology JobsIntern Remote Computational Biology Jobs in Indiana

Intern Remote Computational Biology information

What skills and qualifications are needed to thrive as an intern remote computational biologist?

To thrive as an Intern Remote Computational Biologist, you generally need a background in biology, bioinformatics, or a related field, along with strong analytical and programming skills. Familiarity with tools such as Python, R, and bioinformatics databases (like NCBI, Ensembl), as well as version control systems like Git, is typically required. Strong problem-solving abilities, effective communication, and self-motivation are crucial soft skills for remote collaboration and project advancement. These skills and qualities are vital for analyzing complex biological data, contributing to research goals, and working efficiently in a remote scientific environment.

What is the difference between Intern Remote Computational Biology vs Intern Remote Bioinformatics?

AspectIntern Remote Computational BiologyIntern Remote Bioinformatics
Required CredentialsUndergraduate or graduate in biology, bioinformatics, or related fieldsSimilar educational background, often with emphasis on data analysis and programming
Work EnvironmentRemote, collaborative with research teams, often in biotech or pharmaRemote, focused on data processing, analysis, and software tools
Industry UsageResearch institutions, biotech, pharma companiesHealthcare, research, biotech firms
Search & Comparison IntentUnderstanding roles in computational biology researchClarifying bioinformatics internship differences

Intern Remote Computational Biology and Intern Remote Bioinformatics roles share similar educational backgrounds and remote work settings. Computational biology focuses on modeling biological systems and data analysis, while bioinformatics emphasizes data processing and software tools. Both are vital in research and biotech industries, but their specific tasks and focus areas differ slightly.

What is an intern remote computational biology?

Intern Remote Computational Biology positions are internship roles where students or recent graduates work remotely on projects involving computational methods to analyze biological data. These roles typically involve tasks like processing genomic or proteomic data, running bioinformatics pipelines, and developing software or algorithms to solve biological problems. Interns often collaborate with research teams, learn new programming and data analysis skills, and contribute to scientific publications or reports. These internships provide valuable experience for those interested in careers at the intersection of biology, data science, and technology.

What types of projects does a remote computational biology intern work on, and how is mentorship provided?

As a remote computational biology intern, you may be involved in projects such as analyzing genomic data, developing bioinformatics pipelines, or running simulations to model biological processes. Most teams use collaborative tools like Slack, Zoom, and GitHub to facilitate regular check-ins and code reviews, ensuring you receive guidance despite the remote setup. Mentorship is often structured through scheduled one-on-one meetings, virtual lab meetings, and shared documentation, allowing for continuous support and learning opportunities throughout your internship.

What are popular job titles related to Intern Remote Computational Biology jobs in Indiana?

For Intern Remote Computational Biology jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Intern Remote Computational Biology jobs in Indiana look for?

The top searched job categories for Intern Remote Computational Biology jobs in Indiana are:

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Cities in Indiana with the most Intern Remote Computational Biology job openings:

Intern Remote Computational Biology jobs near you

Bioinformatics Software Engineer

micro1 AI

Fort Wayne, IN • Remote

$80 - $110/hr

Part-time

Posted 13 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.

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