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Remote Drug Discovery Jobs in Raleigh, NC (NOW HIRING)

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

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

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 ...

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 ...

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 ...

Remote micro1 is engaging Computational Biology Experts to contribute their advanced scientific ... Demonstrated expertise in medicinal chemistry, including experience with drug discovery or design.

Remote micro1 is engaging Computational Biology Experts to contribute their advanced scientific ... Demonstrated expertise in medicinal chemistry, including experience with drug discovery or design.

Remote micro1 is engaging Computational Biology Experts to contribute their advanced scientific ... Demonstrated expertise in medicinal chemistry, including experience with drug discovery or design.

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Remote Drug Discovery information

See Raleigh, NC salary details

$81.2K

$123.5K

$166.2K

How much do remote drug discovery jobs pay per year?

As of Aug 16, 2026, the average yearly pay for remote drug discovery in Raleigh, NC is $123,485.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,000.00 and $139,500.00 per year, depending on experience, location, and employer.

What is the difference between Remote Drug Discovery vs Remote Pharmacology?

AspectRemote Drug DiscoveryRemote Pharmacology
Required CredentialsDegree in Chemistry, Biology, or related field; lab experienceDegree in Pharmacology, Biology, or related field; research experience
Work EnvironmentResearch labs, biotech companies, pharmaceutical firms (remote options available)Research settings, healthcare organizations, biotech firms (remote options available)
Industry UsageUsed in early-stage drug development, target identificationApplied in drug mechanism studies, efficacy testing

Remote Drug Discovery and Remote Pharmacology share overlapping skills and work environments, often within pharmaceutical and biotech industries. While drug discovery focuses on identifying and developing new compounds, pharmacology emphasizes understanding drug effects and mechanisms. Both roles can be performed remotely, especially in research and analysis capacities, but they serve different stages of the drug development process.

What are the key skills and qualifications needed to thrive in remote drug discovery, and why are they important?

To thrive in Remote Drug Discovery, you need a strong background in chemistry, biology, or pharmacology, often supported by an advanced degree and experience in drug development. Familiarity with computational drug discovery platforms, molecular modeling software, and data analysis tools is typically required. Strong problem-solving skills, collaboration in virtual teams, and effective communication are crucial soft skills for success in this remote role. These abilities ensure efficient identification and optimization of drug candidates while enabling seamless teamwork across distributed environments.

How does a remote drug discovery professional typically collaborate with cross-functional teams to advance research projects?

Remote drug discovery professionals frequently collaborate with multidisciplinary teams—including chemists, biologists, data scientists, and project managers—using digital communication tools and shared data platforms. Regular virtual meetings, cloud-based laboratory notebooks, and collaborative software enable team members to review findings, troubleshoot experiments, and make strategic decisions in real time. Effective communication and proactive participation are key to ensuring that remote team members stay aligned with project goals and timelines. This collaborative approach allows for efficient progress despite physical distance, supporting the discovery and development of new therapeutic compounds.

What is remote drug discovery?

Remote drug discovery refers to the process of identifying and developing new pharmaceutical compounds using digital tools and technologies, allowing scientists and researchers to collaborate and conduct experiments from different locations. This approach often involves the use of cloud computing, artificial intelligence, and virtual labs to facilitate data analysis, molecular modeling, and project management. Remote drug discovery helps accelerate research timelines, reduce costs, and expand access to global expertise. It has become increasingly popular due to advances in technology and the need for flexible work environments.

What are popular job titles related to Remote Drug Discovery jobs in Raleigh, NC?

For Remote Drug Discovery jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Remote Drug Discovery jobs in Raleigh, NC look for?

The top searched job categories for Remote Drug Discovery jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Remote Drug Discovery jobs?

Cities near Raleigh, NC with the most Remote Drug Discovery job openings:

Infographic showing various Remote Drug Discovery job openings in Raleigh, NC as of August 2026, with employment types broken down into 92% Full Time, and 8% Part Time. Highlights an 100% Remote job distribution, with an average salary of $123,485 per year, or $59.4 per hour.

Cheminformatics Specialist - Remote

micro1 AI

Durham, NC • Remote

$80 - $110/hr

Part-time

Posted 16 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.