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Remote Entry Level Computational Chemistry Jobs in Draper, UT

micro1 AI

Cheminformatics Specialist - Remote

Provo, UT · Remote

$80 - $110/hr

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or ...

micro1 AI

Bioinformatics Software Engineer

West Jordan, UT · Remote

$80 - $110/hr

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or ...

micro1 AI

Bioinformatics Software Engineer

Provo, UT · Remote

$80 - $110/hr

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or ...

All JobsComputational Chemistry JobsRemote Entry Level Computational Chemistry JobsRemote Entry Level Computational Chemistry Jobs in Draper, UT

Remote Entry Level Computational Chemistry information

See Draper, UT salary details

$15

$23

$32

How much do remote entry level computational chemistry jobs pay per hour?

As of Aug 27, 2026, the average hourly pay for remote entry level computational chemistry in Draper, UT is $23.41, according to ZipRecruiter salary data. Most workers in this role earn between $19.76 and $26.54 per hour, depending on experience, location, and employer.

What is remote entry level computational chemistry?

Remote entry level computational chemistry jobs are positions that allow individuals, often recent graduates or those with limited professional experience, to work from home or any location outside of a traditional office. These roles typically involve using computer simulations, modeling, and data analysis to study chemical processes and solve problems in areas like drug discovery, material science, or environmental chemistry. Common tasks include running molecular simulations, analyzing computational data, and assisting with research projects under the guidance of senior scientists. These jobs often require a background in chemistry, computer science, or a related field, and familiarity with relevant software and programming languages.

What are the key skills and qualifications needed to thrive as a remote entry level computational chemist?

A Remote Entry Level Computational Chemist typically needs a solid background in chemistry, physics, or related fields, often with a bachelor's or master's degree, and foundational knowledge of theoretical and computational chemistry. Familiarity with molecular modeling software (such as Gaussian, VASP, or Schrödinger) and coding languages like Python or MATLAB is commonly expected. Strong problem-solving abilities, attention to detail, and effective communication are crucial soft skills for collaborating remotely and interpreting complex data. These skills and qualifications enable accurate simulations, efficient teamwork, and contribute to scientific innovation in computational chemistry projects.

What are some common challenges faced by remote entry level computational chemists, and how can they be addressed?

Remote entry level computational chemists often encounter challenges such as limited access to immediate mentorship, establishing effective communication with team members, and managing complex computational tasks independently. To address these, it’s important to proactively seek regular check-ins with supervisors, participate in virtual lab meetings, and make use of online collaboration tools for sharing results and troubleshooting issues. Building a network with colleagues and joining professional online communities can also provide valuable support and learning opportunities.

What are popular job titles related to Remote Entry Level Computational Chemistry jobs in Draper, UT?

For Remote Entry Level Computational Chemistry jobs in Draper, UT, the most frequently searched job titles are:

Remote Entry Level Computational Chemistry jobs near you
Infographic showing various Remote Entry Level Computational Chemistry job openings in Draper, UT as of August 2026, with employment types broken down into 1% Internship, 70% Full Time, 24% Part Time, 1% Temporary, and 4% Contract. Highlights an 83% Physical, 1% Hybrid, and 16% Remote job distribution, with an average salary of $48,686 per year, or $23.4 per hour.

Cheminformatics Specialist - Remote

West Jordan, UT • Remote

micro1 AI
Software Development • 11 - 50 employees
Learn more about micro1 AIexternal

$80 - $110/hr

Part-time

Posted 27 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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