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Remote Molecular Modeling Jobs in Connecticut (NOW HIRING)

micro1 AI

Bioinformatics Software Engineer

Stamford, CT · Remote

$80 - $110/hr

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... Your work will shape how models learn, reason, and perform through high-quality, real-world input.

micro1 AI

Bioinformatics Software Engineer

Hartford, CT · Remote

$80 - $110/hr

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... Your work will shape how models learn, reason, and perform through high-quality, real-world input.

micro1 AI

Bioinformatics Software Engineer

Waterbury, CT · Remote

$80 - $110/hr

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... Your work will shape how models learn, reason, and perform through high-quality, real-world input.

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Remote Molecular Modeling information

What is remote molecular modeling?

Remote molecular modeling refers to the use of specialized software and computational tools to simulate and analyze the structures and behaviors of molecules, all performed from a remote location rather than a physical laboratory. Scientists and researchers can use cloud-based platforms or remote desktop connections to access powerful computing resources, collaborate with colleagues, and conduct experiments virtually. This approach is especially useful for drug design, protein engineering, and material science research, allowing for flexibility and efficient teamwork across different geographic locations.

How does a remote molecular modeling professional typically collaborate with laboratory-based researchers and cross-functional teams?

Remote molecular modeling professionals frequently interact with laboratory scientists, medicinal chemists, and other team members through virtual meetings, collaborative software, and detailed reporting. They often participate in project discussions to interpret simulation results, advise on compound design, and provide computational insights that guide experimental planning. Effective communication and timely sharing of data are essential, as remote modelers bridge the gap between in silico predictions and hands-on laboratory work. This collaborative dynamic ensures that computational findings are seamlessly integrated into broader research efforts.

What are the key skills and qualifications needed to thrive as a remote molecular modeler, and why are they important?

To thrive as a Remote Molecular Modeler, you need a strong background in chemistry, biochemistry, or related fields, typically supported by an advanced degree such as a PhD or MSc. Proficiency with molecular modeling software (e.g., Schrödinger, MOE, AMBER), programming languages (such as Python), and experience with computational chemistry tools are essential. Strong analytical thinking, attention to detail, and effective communication skills help you interpret data and collaborate with cross-functional teams remotely. These competencies are crucial for accurately simulating molecular interactions and contributing to research and drug discovery projects.

What are popular job titles related to Remote Molecular Modeling jobs in Connecticut?

For Remote Molecular Modeling jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Remote Molecular Modeling jobs in Connecticut look for?

The top searched job categories for Remote Molecular Modeling jobs in Connecticut are:

What cities in Connecticut are hiring for Remote Molecular Modeling jobs?

Cities in Connecticut with the most Remote Molecular Modeling job openings:

Remote Molecular Modeling jobs near you
Infographic showing various Remote Molecular Modeling job openings in Connecticut as of August 2026, with employment types broken down into 84% Full Time, 10% Part Time, 3% Temporary, and 3% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution.

Cheminformatics Specialist - Remote

micro1 AI

New Haven, CT • 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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