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Entry Level Computational Chemistry Molecular Modeling Jobs

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Experience with computational chemistry, cheminformatics, spectroscopy, molecular modeling, simulation software, or chemistry-focused data analysis tools is considered an advantage. * Previous ...

Tamarind Bio

Computational Scientist

San Francisco, CA · On-site

... models on the Tamarind platform. • Build and refine workflows connecting tools like structure ... Required : • Strong background in computational biology, computational chemistry, bioinformatics ...

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Entry Level Computational Chemistry Molecular Modeling information

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$33.5K

$48.3K

$63.5K

How much do entry level computational chemistry molecular modeling jobs pay per year?

As of Aug 18, 2026, the average yearly pay for entry level computational chemistry molecular modeling in the United States is $48,298.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,000.00 and $55,500.00 per year, depending on experience, location, and employer.

What is an entry level computational chemistry molecular modeling?

An entry level computational chemistry molecular modeling job involves using computer simulations and mathematical models to study the structure, properties, and interactions of molecules. Professionals in this role typically work with specialized software to analyze chemical data, predict molecular behavior, and assist in drug discovery or materials science projects. Entry-level positions often require a background in chemistry, physics, or a related field, as well as some experience with programming or computational tools. These roles are commonly found in academic, pharmaceutical, and technology research settings.

What are the key skills and qualifications needed to thrive as an entry level computational chemistry molecular modeling professional?

To thrive as an Entry Level Computational Chemistry Molecular Modeling professional, you need a solid background in chemistry, physics, and mathematics, typically supported by a bachelor's or master's degree in chemistry or a related field. Familiarity with molecular modeling software (such as Gaussian, Schrödinger, or AMBER) and basic programming skills in Python or similar languages are highly beneficial. Strong analytical thinking, attention to detail, and the ability to communicate complex results clearly are valuable soft skills in this role. These skills and qualifications are crucial for accurately modeling molecular systems, interpreting data, and collaborating effectively with interdisciplinary research teams.

What are some common challenges faced by entry level computational chemistry molecular modeling professionals, and how can they overcome them?

Entry-level professionals in computational chemistry molecular modeling often face challenges such as learning to use complex simulation software, interpreting large datasets, and understanding the nuances of molecular interactions. Adapting to the interdisciplinary nature of the field can also be demanding, as it frequently requires collaboration with chemists, biologists, and data scientists. To overcome these challenges, new hires should actively seek mentorship, participate in training workshops, and regularly communicate with their team to clarify project goals and expectations. This proactive approach can accelerate skill development and build confidence in contributing to research projects.
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Entry Level Computational Chemistry Molecular Modeling jobs near you
Infographic showing various Entry Level Computational Chemistry Molecular Modeling job openings in the United States as of August 2026, with employment types broken down into 86% Full Time, 11% Part Time, and 3% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $48,298 per year, or $23.2 per hour.

Academic Rank/Depends on Qualifications

University of Nebraska Medical Center

Omaha, NE • On-site

Full-time

Re-posted 12 days ago

University Of Nebraska Medical Center rating

8.5

Company rating: 8.5 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

55th of 1,060 rated hospitals

Job description

GENERAL REQUISITION INFORMATION
EEO Statement:
UNMC is an Equal Employment Opportunity Employer, including an equal opportunity employer of protected veterans and individuals with disabilities.
Location Omaha, NE Requisition Number: 2026 - 133 Department COP Pharmaceutical Science 50000722 Business Unit(College/Institute) College of Pharmacy FTE:
100
Reg-Temp Full-Time Regular Work Schedule M-F 8am-4:30pm Requisition Category Faculty Requisition Title Academic Rank/Depends on Qualifications Job Title/Academic Rank Faculty position - Academic Rank DOQ Additional Requisition Title Appointment Type DOQ - DEPENDS ON QUALS Salary Range Salary Commensurate with Experience Job/EEO Category Faculty Job Requisition Begin Date 03/27/2026
Position Qualification
Position Summary
Tenure-leading Faculty Position in the Department of Pharmaceutical Sciences at the University of Nebraska Medical Center
The Department of Pharmaceutical Sciences at the University of Nebraska Medical Center (UNMC) seeks outstanding applicants for a tenure-leading, twelve-month faculty position at the rank of Assistant Professor or Associate Professor. We seek an innovative and collaborative scientist whose research integrates computational approaches to advance any area of the drug discovery process such as medicinal chemistry and chemical biology.

We are seeking candidates who will develop and apply computational approaches to understand, design, and optimize bioactive molecules and chemical probes. Applicants should have demonstrated productivity within their area of expertise and the potential to build a nationally recognized, externally funded research program and contribute to interdisciplinary teaching and training programs in medicinal chemistry and drug discovery.
Candidates must have strong expertise in at least one of the following areas:
  • Use of Artificial intelligence for De-Novo molecular design
  • Machine learning/Neuronal networks to develop novel drug discovery tools
  • Molecular modeling and simulation
  • Theoretical biophysical medicinal chemistry
  • Deep learning-based approaches to advanced molecular design
  • Network Pharmacology
  • Quantum computing
  • Hybrid In Silico/In Vitro Pipelines
  • Work at the interface of medicinal chemistry and computational approaches
Responsibilities
  • Establish and maintain an externally funded, high-impact research program
  • Develop innovative computational and/or hybrid computational-experimental drug discovery methods
  • Teach undergraduate, graduate and professional courses in medicinal chemistry and related areas and develop undergraduate, graduate, and/or professional courses in their area of research expertise.
  • Mentor graduate students, postdoctoral fellows, and professional trainees
  • Contribute to interdisciplinary research and training initiatives
  • Participate in departmental and institutional service

Application requirements
A cover letter describing interest for the position
Current curriculum vitae including a complete list of publications
Concise four-page description of research plans
One-page teaching philosophy
The applicant must provide the names and contact information of at least three references
The documents containing the research plans, teaching philosophy, and references should be uploaded as an "other document".
Applications must be submitted online at: jobs@unmc.edu. Review of applications will begin immediately and will continue until the position is filled. For full consideration, applications should be received by July 15, 2026. Applications will be received and considered until the position is filled. Expected start date is Spring 2027.
Relevant inquiries may be directed to the Chair of the Search Committee, Martin Conda Sheridan, at martin.condasheridan@unmc.edu.
Required Qualifications
  • PhD in Medicinal Chemistry, Computational Chemistry, Chemical Biology, Pharmaceutical Sciences, Chemistry, or a closely related field
  • Postdoctoral training or equivalent
  • Evidence of securing external funding
Strong publication record in peer-reviewed journals

Supplemental Qualifications
  • Experience applying AI/ML methods to molecular or drug discovery problems
  • Expertise in molecular modeling, cheminformatics, or simulation
  • Experience with generative or predictive molecular design methods
  • Integration of computational and experimental medicinal chemistry
  • Collaborative and interdisciplinary research experience
  • Teaching experience in medicinal chemistry or computational chemistry related to drug discovery

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