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Temporary Bioinformatics Data Scientist Jobs in Indiana

STI

Bioinformatician

Indianapolis, IN · On-site

... data. • Specialized knowledge of current scientific methods and testing procedures and the ... Incumbent will be the subject matter expert on bioinformatics ascepts of NGS results generated in ...

Elanco

Advisor R&D

Indianapolis, IN · On-site

PhD in a quantitative field (e.g., Data Science, Engineering, Physics, Mathematics, Statistics, Bioinformatics, Computational Chemistry), or a Master's degree with substantial handson ML/CV ...

Elanco

Senior Research Scientist

Indianapolis, IN · On-site

$94K - $120K/yr

... reviews, bioinformatics, functional genomics, and AI/ML. Implement iterative "design-test-learn ... Leverage AI-augmented data analysis, digital phenotyping, and digital discovery platforms to ...

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All JobsBioinformatics Data Scientist JobsTemporary Bioinformatics Data Scientist JobsTemporary Bioinformatics Data Scientist Jobs in Indiana

Temporary Bioinformatics Data Scientist information

What is the difference between Temporary Bioinformatics Data Scientist vs Bioinformatics Data Analyst?

AspectTemporary Bioinformatics Data ScientistBioinformatics Data Analyst
CredentialsTypically requires a master's or Ph.D. in bioinformatics, computational biology, or related fieldsUsually holds a bachelor's or master's degree in bioinformatics, biology, or data analysis
Work EnvironmentContract-based roles in research labs, biotech companies, or pharma firmsOften employed in research institutions, healthcare, or biotech companies
Employer & Industry UsageUsed for short-term projects requiring advanced modeling and algorithm developmentFocuses on data processing, visualization, and reporting tasks

The main difference is that Temporary Bioinformatics Data Scientists typically have advanced degrees and focus on developing models and algorithms, while Bioinformatics Data Analysts concentrate on data interpretation and reporting. Both roles are essential in biotech and research settings but differ in scope and expertise level.

What are the most commonly searched types of Bioinformatics Data Scientist jobs in Indiana?

The most popular types of Bioinformatics Data Scientist jobs in Indiana are:

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For Temporary Bioinformatics Data Scientist jobs in Indiana, the most frequently searched job titles are:

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Cities in Indiana with the most Temporary Bioinformatics Data Scientist job openings:

Temporary Bioinformatics Data Scientist jobs near you

Bioinformatics Software Engineer

micro1 AI

Indianapolis, 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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