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Remote Computer Aided Drug Design Jobs in Columbia, SC

micro1 AI

Bioinformatics Software Engineer

Columbia, SC · Remote

$80 - $110/hr

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... Analyze and interpret small-molecule and drug discovery datasets using advanced computational ...

Ask IT consulting

Network Architect-Consultant

Columbia, SC · Remote

$60 - $80.25/hr

Title: Network Architect - Consultant Duration:12 months Remote Work Availability: 25% Design ... Typically requires a bachelor's degree in computer science or engineering. May have completed an ...

Ignition CX US LLC

Sales Agent

Columbia, SC · Remote

$60K/yr

Remote Inbound Sales Representative (W-2) $10/Hour Base Pay + Uncapped Commission Paid Training ... Can effectively multitask using multiple computer applications * Have basic to intermediate ...

Ignition CX US LLC

Sales Agent

Columbia, SC · Remote

$60K/yr

Remote Inbound Sales Representative (W-2) $10/Hour Base Pay + Uncapped Commission Paid Training ... Can effectively multitask using multiple computer applications * Have basic to intermediate ...

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All JobsComputer Aided Drug Design JobsRemote Computer Aided Drug Design JobsRemote Computer Aided Drug Design Jobs in Columbia, SC

Remote Computer Aided Drug Design information

What is a remote computer aided drug design?

A Remote Computer Aided Drug Design (CADD) job involves using computational tools and software to design, analyze, and optimize potential drug molecules from a remote location. Professionals in this role apply principles of chemistry, biology, and computer science to model molecular interactions and predict the efficacy of new compounds. This work is often part of early-stage drug discovery in pharmaceutical or biotechnology companies and allows scientists to collaborate virtually with teams around the world. Remote CADD jobs require strong technical skills in molecular modeling, structural biology, and data analysis, as well as effective communication for virtual teamwork.

What are the key skills and qualifications needed to thrive as a remote computer aided drug design professional?

To thrive as a Remote Computer Aided Drug Design professional, you need a strong background in computational chemistry, molecular modeling, and drug discovery, typically supported by a degree in chemistry, biochemistry, or a related field. Proficiency in software tools such as Schrodinger, MOE, AutoDock, and knowledge of programming languages like Python are commonly required. Strong problem-solving ability, effective communication, and a collaborative mindset are vital soft skills for remote teamwork and project advancement. These technical and interpersonal skills are essential for accelerating drug discovery while ensuring seamless collaboration in a virtual environment.

What are some common challenges faced by professionals working in remote computer aided drug design roles, and how can they be addressed?

One common challenge in remote Computer Aided Drug Design (CADD) roles is effective communication and collaboration with multidisciplinary teams, as projects often require input from chemists, biologists, and data scientists. To address this, professionals should leverage collaborative software platforms and schedule regular virtual meetings to ensure alignment and rapid feedback. Additionally, managing secure access to sensitive data and high-performance computing resources can require proactive coordination with IT departments. Staying organized and maintaining detailed documentation are also crucial to keep projects on track while working remotely.

What is the difference between Remote Computer Aided Drug Design vs Remote Medicinal Chemist?

AspectRemote Computer Aided Drug DesignRemote Medicinal Chemist
Required CredentialsDegree in Chemistry, Bioinformatics, or related field; knowledge of molecular modeling softwareDegree in Chemistry or Pharmaceutical Sciences; experience in chemical synthesis and drug development
Work EnvironmentPrimarily computer-based, collaborative with research teamsLaboratory and office settings, with some remote data analysis
Industry UsagePharmaceutical and biotech companies, research institutionsPharmaceutical companies, research labs, biotech firms

Remote Computer Aided Drug Design focuses on using computational tools to identify and optimize drug candidates, often working remotely with data and modeling software. In contrast, Remote Medicinal Chemists combine computational work with laboratory synthesis and testing, typically requiring lab access. Both roles are vital in drug development but differ in their hands-on versus software-based approaches.

What are popular job titles related to Remote Computer Aided Drug Design jobs in Columbia, SC?

For Remote Computer Aided Drug Design jobs in Columbia, SC, the most frequently searched job titles are:

What job categories do people searching Remote Computer Aided Drug Design jobs in Columbia, SC look for?

The top searched job categories for Remote Computer Aided Drug Design jobs in Columbia, SC are:

What cities near Columbia, SC are hiring for Remote Computer Aided Drug Design jobs?

Cities near Columbia, SC with the most Remote Computer Aided Drug Design job openings:

Remote Computer Aided Drug Design jobs near you
Infographic showing various Remote Computer Aided Drug Design job openings in Columbia, SC as of August 2026, with employment types broken down into 82% Full Time, 8% Part Time, and 10% Contract. Highlights an 100% Remote job distribution.

Bioinformatics Software Engineer

micro1 AI

Columbia, SC • Remote

$80 - $110/hr

Part-time

Posted 18 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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