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Remote Biology Research Jobs in Indiana (NOW HIRING)

... biology, chemistry, and physics. Waters collaborates with analytical laboratories around the world ... remote). * Actively participate in site feasibility assessments and site selection processes.

EMEA/UK- Homebased BSI is seeking R&D Scientists and Production Scientists to join our IVD Devices ... molecular biology. Our Technical Specialists are industry experts that are analytical ...

EMEA/UK- Homebased BSI is seeking R&D Scientists and Production Scientists to join our IVD Devices ... molecular biology. Our Technical Specialists are industry experts that are analytical ...

Remote Biology Research information

See Indiana salary details

$9

$25

$49

How much do remote biology research jobs pay per hour?

As of Aug 27, 2026, the average hourly pay for remote biology research in Indiana is $25.62, according to ZipRecruiter salary data. Most workers in this role earn between $17.16 and $37.74 per hour, depending on experience, location, and employer.

What is remote biology research?

A Remote Biology Research job involves conducting biological studies, data analysis, or literature reviews from a remote location rather than a traditional laboratory or office. Researchers may work on projects related to ecology, genetics, microbiology, or bioinformatics, using digital tools, simulations, and databases. These roles often require strong analytical skills, proficiency with scientific software, and effective communication for collaboration with teams worldwide.

What skills and qualifications are needed for remote biology research?

To thrive in Remote Biology Research, you need a solid background in biological sciences, experience with data analysis, and a relevant academic degree such as a bachelor's or master's in biology or a related field. Familiarity with statistical software (e.g., R, Python), virtual lab platforms, and project management tools is often required, and certifications in bioinformatics or laboratory techniques are advantageous. Strong self-motivation, attention to detail, and effective remote communication skills are vital for excelling in this independent and collaborative work environment. These abilities ensure accurate data analysis, smooth virtual teamwork, and the successful completion of research objectives from a remote setting.

What challenges do remote biology researchers face, and how can they be addressed?

Remote biology researchers often encounter challenges such as limited access to physical laboratory resources, difficulties in coordinating experiments across locations, and maintaining effective communication within remote teams. These obstacles can be overcome by leveraging advanced data-sharing platforms, virtual lab simulations, and scheduling regular video meetings to facilitate collaboration and share results. It’s also helpful to establish clear protocols and documentation standards so team members can seamlessly contribute to ongoing projects. Many organizations provide additional training and technical support to ensure remote researchers remain productive and well-connected to their colleagues.

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

The most popular types of Biology Research jobs in Indiana are:

What cities in Indiana are hiring for Remote Biology Research jobs?

Cities in Indiana with the most Remote Biology Research job openings:

Infographic showing various Remote Biology Research job openings in Indiana as of August 2026, with employment types broken down into 6% Internship, 65% Full Time, 16% Part Time, and 13% Contract. Highlights an 100% Remote job distribution, with an average salary of $53,285 per year, or $25.6 per hour.

Bioinformatics Research Scientist - AI Reviewer

micro1 AI

Evansville, IN • Remote

$80 - $110/hr

Part-time

Posted 24 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.