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Molecular Modeling Jobs in Iowa (NOW HIRING)

Ability to explain partition functions, Schrodinger equation solutions, molecular orbital theory ... models to support chemistry majors at the advanced undergraduate level. * Effective Teaching ...

Physical Chemistry Tutor

Ames, IA · Remote

$18 - $40/hr

Ability to explain partition functions, Schrodinger equation solutions, molecular orbital theory ... models to support chemistry majors at the advanced undergraduate level. * Effective Teaching ...

Showing results 21-40

Molecular Modeling information

See Iowa salary details

$10.3K

$75.8K

$97.2K

How much do molecular modeling jobs pay per year?

As of Aug 16, 2026, the average yearly pay for molecular modeling in Iowa is $75,786.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,800.00 and $92,500.00 per year, depending on experience, location, and employer.

What is a molecular modeling?

A Molecular Modeling job involves using computer simulations and theoretical techniques to study molecular structures, interactions, and properties. Professionals in this field apply computational chemistry, molecular dynamics, and quantum mechanics to predict molecular behavior in drug discovery, materials science, and biochemistry. They work with specialized software and collaborate with experimental scientists to design and optimize compounds for various applications.

What are the typical career advancement opportunities for someone in molecular modeling?

Molecular modeling professionals can pursue a variety of career advancement opportunities, including progressing to lead scientist or principal investigator roles, moving into project management, or specializing in areas like drug design or materials science. With experience, you may also transition into roles in academia, regulatory affairs, or scientific consulting. Continued professional development through advanced degrees, certifications, or technical workshops can further expand your options and responsibilities. Additionally, collaborating on interdisciplinary projects and publishing research can enhance your reputation and open doors to leadership positions in the field.

What are the key skills and qualifications needed to thrive in molecular modeling, and why are they important?

To thrive in Molecular Modeling, you typically need a strong background in chemistry, biochemistry, or a related field, with a solid understanding of molecular structures and computational methods. Experience with molecular modeling software such as Schrödinger, MOE, or Gaussian, as well as familiarity with scripting languages like Python, is highly valuable. Analytical thinking, problem-solving abilities, and effective communication are key soft skills for interpreting complex data and collaborating with interdisciplinary teams. These qualifications are crucial for accurately modeling molecular systems, advancing research projects, and facilitating successful teamwork in scientific environments.

What are the most commonly searched types of Molecular Modeling jobs in Iowa?

The most popular types of Molecular Modeling jobs in Iowa are:

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

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

Infographic showing various Molecular Modeling job openings in Iowa as of August 2026, with employment types broken down into 85% Full Time, 13% Part Time, and 2% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $75,786 per year, or $36.4 per hour.

Cheminformatics Specialist - Remote

micro1 AI

Davenport, IA • Remote

$80 - $110/hr

Part-time

Posted 15 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.