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Senior Remote Bioinformatics Scientist Jobs in Indiana

micro1 AI

Bioinformatics Software Engineer

Carmel, IN · Remote

$80 - $110/hr

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance ...

micro1 AI

Bioinformatics Software Engineer

Fishers, IN · Remote

$80 - $110/hr

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance ...

CSAA

Job Title Senior Data Science Consultant, Insurance - Remote Requisition Number R7828 Senior Data ... This Data Scientist role offers the opportunity to help CSAA Insurance Group anticipate and prepare ...

micro1 AI

Cheminformatics Specialist - Remote

Carmel, IN · Remote

$80 - $110/hr

... bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ... Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance ...

micro1 AI

Cheminformatics Specialist - Remote

Fishers, IN · Remote

$80 - $110/hr

... bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ... Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance ...

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Senior Remote Bioinformatics Scientist information

What does a senior remote bioinformatics scientist do?

A Senior Remote Bioinformatics Scientist leads projects that analyze complex biological data, such as genetic sequences, using computational methods. They design and implement algorithms, develop software tools, and collaborate with researchers to interpret large-scale datasets. Working remotely, they often manage teams, oversee data quality, and help translate findings into actionable insights for research or clinical applications. Their expertise is crucial for advances in genomics, drug discovery, and personalized medicine.

What are the key skills and qualifications needed to thrive as a senior remote bioinformatics scientist?

To thrive as a Senior Remote Bioinformatics Scientist, you need advanced knowledge of computational biology, genomics, statistics, and a relevant advanced degree (often PhD) in bioinformatics or a related field. Expertise with programming languages like Python, R, bioinformatics pipelines, and familiarity with cloud computing platforms are typically required, along with experience using tools such as BLAST, GATK, and Nextflow. Excellent problem-solving abilities, strong communication skills, and the capacity to collaborate virtually distinguish top performers in this role. These competencies ensure effective analysis of complex biological data, reliable scientific insights, and seamless teamwork in a remote environment.

How does a senior remote bioinformatics scientist typically collaborate with cross-functional teams while working remotely?

As a Senior Remote Bioinformatics Scientist, you'll frequently collaborate with biologists, data analysts, and software engineers through virtual meetings, shared code repositories, and cloud-based data platforms. Communication skills are essential, as you'll often translate complex bioinformatics findings for non-technical stakeholders and contribute to project planning. Regular video conferences, collaborative tools (like Slack or Jira), and scheduled check-ins help ensure alignment and smooth teamwork despite the remote setup. This collaborative structure enables you to provide scientific insight while staying connected with the broader research and development goals of the organization.

What is the difference between Senior Remote Bioinformatics Scientist vs Bioinformatics Analyst?

AspectSenior Remote Bioinformatics ScientistBioinformatics Analyst
Required CredentialsAdvanced degree (MSc, PhD) in Bioinformatics, Biology, or related field; extensive experienceBachelor's or Master's in Bioinformatics, Biology, or related field; less experience required
Work EnvironmentRemote, collaborative research teams, biotech or pharma companiesRemote or on-site, research labs, healthcare institutions, or biotech firms
Employer & Industry UsageUsed in biotech, pharma, research institutions for complex data analysisUsed in healthcare, research, and biotech for data processing and reporting

The main difference is that a Senior Remote Bioinformatics Scientist typically has more advanced education and experience, focusing on complex data analysis and research leadership, while a Bioinformatics Analyst handles data processing and reporting with less seniority and experience.

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What job categories do people searching Senior Remote Bioinformatics Scientist jobs in Indiana look for?

The top searched job categories for Senior Remote Bioinformatics Scientist jobs in Indiana are:

What cities in Indiana are hiring for Senior Remote Bioinformatics Scientist jobs?

Cities in Indiana with the most Senior Remote Bioinformatics Scientist job openings:

Senior Remote Bioinformatics Scientist jobs near you
Infographic showing various Senior Remote Bioinformatics Scientist job openings in Indiana as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 87% Full Time, 7% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

Bioinformatics Research Scientist - AI Reviewer

micro1 AI

South Bend, IN • Remote

$80 - $110/hr

Part-time

This job post has expired today. Applications are no longer accepted.

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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