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Temporary Bioinformatics Computational Biology Jobs in Indiana

micro1 AI

Bioinformatics Software Engineer

Carmel, IN · Remote

$80 - $110/hr

Computational Biology & Cheminformatics Expert Role Type: Contractor Location: Remote micro1 is ... bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ...

micro1 AI

Bioinformatics Software Engineer

Fishers, IN · Remote

$80 - $110/hr

Computational Biology & Cheminformatics Expert Role Type: Contractor Location: Remote micro1 is ... bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ...

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Temporary Bioinformatics Computational Biology information

What is a temporary bioinformatics computational biology?

A Temporary Bioinformatics Computational Biology position is a short-term role focused on using computational and statistical methods to analyze biological data, such as DNA sequences, proteins, or cellular processes. Individuals in this role typically work on specific research projects, data analysis tasks, or software tool development within academic, research, or biotech settings. These positions are often contract-based, supporting ongoing studies or filling in for permanent staff. Temporary roles provide valuable experience in applying computational techniques to solve biological problems and may serve as a stepping stone to permanent positions in the field.

What types of projects or tasks can I expect to work on as a temporary bioinformatics computational biology?

In a temporary bioinformatics computational biology role, you'll typically support ongoing research projects by analyzing large-scale biological datasets, developing or modifying computational pipelines, and assisting with data visualization. You may work closely with principal investigators, lab scientists, and other bioinformaticians to interpret genomic, transcriptomic, or proteomic data. The role often involves troubleshooting software or analysis issues and adapting quickly to new tools or datasets, making strong communication and problem-solving skills essential. Temporary positions can provide valuable exposure to collaborative research environments and current bioinformatics methodologies.

What are the key skills and qualifications needed to thrive as a temporary bioinformatics computational biology, and why are they important?

To thrive as a Temporary Bioinformatics Computational Biologist, you need a strong background in biology, statistics, and computer science, often supported by a relevant degree in bioinformatics or computational biology. Proficiency with programming languages such as Python or R, experience in using bioinformatics tools like BLAST, and familiarity with database systems are typically required. Strong analytical thinking, attention to detail, and the ability to collaborate effectively are essential soft skills that distinguish top candidates. These skills enable accurate data analysis, efficient problem-solving, and productive teamwork, all critical for timely and high-quality research outcomes.

What are the most commonly searched types of Bioinformatics Computational Biology jobs in Indiana?

The most popular types of Bioinformatics Computational Biology jobs in Indiana are:

What are popular job titles related to Temporary Bioinformatics Computational Biology jobs in Indiana?

For Temporary Bioinformatics Computational Biology jobs in Indiana, the most frequently searched job titles are:

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The top searched job categories for Temporary Bioinformatics Computational Biology jobs in Indiana are:

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Cities in Indiana with the most Temporary Bioinformatics Computational Biology job openings:

Temporary Bioinformatics Computational Biology jobs near you

Bioinformatics Software Engineer

micro1 AI

Carmel, IN • Remote

$80 - $110/hr

Part-time

Posted 22 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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