1

Chemistry Python Jobs in North Carolina (NOW HIRING)

... Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required. * Strong coding proficiency in Python (beyond analysis scripts), with hands-on ...

... Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required. * Strong coding proficiency in Python (beyond analysis scripts), with hands-on ...

... Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required. * Strong coding proficiency in Python (beyond analysis scripts), with hands-on ...

... Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required. * Strong coding proficiency in Python (beyond analysis scripts), with hands-on ...

... Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required. * Strong coding proficiency in Python (beyond analysis scripts), with hands-on ...

... Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required. * Strong coding proficiency in Python (beyond analysis scripts), with hands-on ...

... Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required. * Strong coding proficiency in Python (beyond analysis scripts), with hands-on ...

next page

Showing results 1-20

Chemistry Python information

See North Carolina salary details

$12

$53

$78

How much do chemistry python jobs pay per hour?

As of Aug 27, 2026, the average hourly pay for chemistry python in North Carolina is $53.27, according to ZipRecruiter salary data. Most workers in this role earn between $43.89 and $60.53 per hour, depending on experience, location, and employer.

What is a Chemistry Python?

A Chemistry Python job involves using Python programming to analyze chemical data, develop simulations, or automate laboratory processes. Professionals in this role may work with molecular modeling, data visualization, computational chemistry, or machine learning to solve chemical problems. Industries such as pharmaceuticals, materials science, and environmental science often seek experts who can apply Python to chemistry-related challenges. Strong programming skills, knowledge of chemistry concepts, and experience with scientific libraries like RDKit, NumPy, and SciPy are typically required.

What does a Chemistry Python do?

As a Chemistry Python specialist, your daily tasks will typically involve writing and optimizing Python scripts to analyze chemical data, automate lab processes, or model molecular structures. You may also be responsible for integrating laboratory instruments with software, creating custom data visualizations, and collaborating with chemists or researchers to address experimental challenges. Regularly, you'll participate in team meetings to discuss project goals and report on analysis results, ensuring that computational approaches align with scientific objectives. This hybrid role blends hands-on coding with applied chemistry, making each day varied and collaborative.

What are the key skills and qualifications needed to thrive in the Chemistry Python position, and why are they important?

To thrive as a Chemistry Python professional, you need a solid background in chemistry along with strong proficiency in Python programming and data analysis. Familiarity with scientific computing libraries like NumPy, pandas, RDKit, and experience with lab instrumentation software or cheminformatics platforms is commonly required. Critical thinking, problem-solving aptitude, and effective communication help you translate scientific needs into practical code solutions and facilitate team collaboration. Mastering these competencies ensures the ability to automate, analyze, and optimize chemical research and processes efficiently.

How is Python used in chemistry?

Chemistry Python roles involve using Python programming to analyze chemical data, develop simulations, and automate laboratory processes. Skills in libraries like NumPy, pandas, and RDKit are often required to handle data processing, molecular modeling, and computational chemistry tasks.

What are popular job titles related to Chemistry Python jobs in North Carolina?

For Chemistry Python jobs in North Carolina, the most frequently searched job titles are:

Infographic showing various Chemistry Python job openings in North Carolina as of August 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution, with an average salary of $110,812 per year, or $53.3 per hour.

Bioinformatics Research Scientist - AI Reviewer

Greensboro, NC • Remote

micro1 AI
Software Development • 11 - 50 employees

$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.