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Computational Chemistry Jobs in Spring, TX (NOW HIRING)

Postdoctoral Fellow - Genomic Medicine

Houston, TX · On-site +1

$46K - $63K/yr

... or computational techniques to biomedical data, are encouraged to apply. Some understanding of databases related to several of the following-cancer genomes, structural biology, and chemistry is ...

Postdoctoral Fellow - Genomic Medicine

Houston, TX · On-site +1

$46K - $63K/yr

... or computational techniques to biomedical data, are encouraged to apply. Some understanding of databases related to several of the following-cancer genomes, structural biology, and chemistry is ...

Postdoctoral Fellow - Genomic Medicine

Houston, TX · On-site +1

$46K - $63K/yr

... or computational techniques to biomedical data, are encouraged to apply. Some understanding of databases related to several of the following-cancer genomes, structural biology, and chemistry is ...

... computational contexts. * Utilize rubrics and established evaluation criteria to assess data ... Bachelor's degree or higher in Biology, Microbiology, Chemistry, or a related field. * Extensive ...

... computational contexts. * Utilize rubrics and established evaluation criteria to assess data ... Bachelor's degree or higher in Biology, Microbiology, Chemistry, or a related field. * Extensive ...

Showing results 21-40

Computational Chemistry information

See Spring, TX salary details

$11

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How much do computational chemistry jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for computational chemistry in Spring, TX is $19.81, according to ZipRecruiter salary data. Most workers in this role earn between $16.25 and $21.83 per hour, depending on experience, location, and employer.

What is the difference between Computational Chemistry vs Chemist?

AspectComputational ChemistryChemist
Required CredentialsTypically requires a PhD in Chemistry, Chemical Engineering, or related fieldOften requires a Bachelor's or Master's degree in Chemistry or related discipline
Work EnvironmentPrimarily research labs, computer-based work, and simulationsLaboratories, industrial settings, or fieldwork
Industry UsageUsed in pharmaceuticals, materials science, and academia for modeling and simulationsInvolved in experimental research, product development, and quality control

Computational Chemists focus on computer-based modeling and simulations to understand chemical phenomena, while Chemists often perform hands-on experiments and laboratory work. Both roles are essential in advancing chemical research but differ mainly in their methods and work environments.

Do computational chemists make good money?

Computational chemists typically earn competitive salaries that vary based on experience, education, and location. Entry-level positions often start around $60,000 to $80,000 annually, with experienced professionals earning over $100,000, especially in research or industry roles that require advanced skills in programming and modeling tools.

What are some common challenges faced by computational chemists when collaborating with experimental teams?

Computational chemists often work closely with experimental chemists to design and interpret experiments, but one common challenge is ensuring clear communication about the limitations and accuracy of computational models. Translating complex simulation data into actionable insights for experimental teams can require extra effort, especially when addressing differences in terminology or expectations about timelines and results. Successful collaboration typically involves regular meetings, shared documentation, and a willingness to iterate on both computational predictions and experimental approaches.

Do I need a PhD to be a computational chemist?

A PhD is typically required for advanced roles in computational chemistry, especially those involving independent research or leadership. However, entry-level positions may be available to candidates with a master's degree or relevant experience in programming, chemistry, or related fields. Strong skills in computational tools and programming languages can also be valuable for career advancement.

Is computational chemistry a good career?

Computational chemistry is a growing field that involves using computer simulations and modeling to study chemical systems, often requiring skills in programming and chemistry. It offers opportunities in academia, industry, and research institutions, with a demand for expertise in software tools and data analysis. Job prospects depend on education level, experience, and specialization areas within the field.

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

To thrive as a Computational Chemist, you need a solid background in chemistry, physics, and mathematics, typically supported by an advanced degree (MSc or PhD) in chemistry or a related field. Proficiency in quantum chemistry software (such as Gaussian or VASP), programming languages (like Python or Fortran), and experience with high-performance computing systems are essential. Strong problem-solving skills, analytical thinking, and effective communication help you collaborate with interdisciplinary teams and convey complex findings. These skills and qualities are crucial for designing accurate simulations, interpreting data, and contributing valuable insights to research and development projects.

What is computational chemistry?

Computational chemistry is a branch of chemistry that uses computer simulation and mathematical models to study the structures, properties, and reactions of molecules. It allows scientists to predict the behavior of chemical systems by solving quantum mechanical and classical equations. This field plays a critical role in drug discovery, materials science, and understanding complex molecular interactions, often saving time and resources compared to experimental methods. Computational chemists use specialized software and high-performance computing to carry out their analyses and simulations.

What is computational chemistry?

Computational chemistry is a subdiscipline of chemistry, and it involves using computer simulation methods to analyze chemical compounds, molecules, and other problems in chemistry. Computational chemistry is necessary for solving complex problems in chemistry that do not have analytical solutions and require the use of powerful computing. Computational chemistry has many applications, and it is very common in pharmaceutical production and research where physicists, chemists, and other clinical researchers need to predict the properties of particular chemical reactions.

What can you do with a computational chemistry degree?

A computational chemistry degree prepares individuals for roles such as research scientist, drug developer, or materials scientist, where they use computer simulations and modeling to study chemical systems. Skills in programming, data analysis, and software tools like Gaussian or VMD are often essential for these positions.
What job categories do people searching Computational Chemistry jobs in Spring, TX look for? The top searched job categories for Computational Chemistry jobs in Spring, TX are:
What cities near Spring, TX are hiring for Computational Chemistry jobs? Cities near Spring, TX with the most Computational Chemistry job openings:
Infographic showing various Computational Chemistry job openings in Spring, TX as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 73% Full Time, 22% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 1% Hybrid, and 13% Remote job distribution, with an average salary of $41,195 per year, or $19.8 per hour.

Postdoctoral Fellow - Genomic Medicine

MD Anderson

Houston, TX • On-site

$64K - $76K/yr

Full-time

Medical, Dental, Retirement, PTO

Re-posted 4 days ago


MD Anderson Cancer Center rating

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Company rating: 8.4 out of 10

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Job description

We seek a driven and technically adept Postdoctoral Fellow with prior experience in cryo-electron microscopy and/or other structural biology techniques. The successful candidate will independently solve the structures of protein-ligand complexes using cryo-electron microscopy to support the discovery of novel therapeutic agents. Being trained at the intersection between data science, genomic medicine, and drug discovery, this position will focus on generation of high-quality protein samples suitable for single-particle cryo-EM, data collection on the latest cryo-EM hardware, and data processing to generate high-resolution structures in a high-performance computing environment.

This effort will enable structure-based drug design through insights gained from the resulting structural data and interaction with data scientists and AI experts, together with medicinal and computational chemists and assay scientists. MD Anderson houses a newly installed Glacios-2 microscope (with Falcon 4i detector and Selectris X imaging filter) for data collection and a Tundra microscope for routine sample screening, in addition to direct access to Titan Krios microscopes at neighboring core facilities. All duties and responsibilities are carried out in compliance with institutional policies, ethical research standards, and applicable federal and state regulations.

LEARNING OBJECTIVES Gain an understanding of how to apply cryo-EM to cutting-edge AI-led drug discovery programs that lead to therapeutics advancing to clinical testing. Become more familiar with traditional and emerging drug discovery techniques and their relationships to structural biology. Accelerate structure determination using single-particle cryo-EM by implementing state-of-the-art experimental and computational workflows.

Be at the interface between structural biology and AI-led data science. ELIGIBILITY REQUIREMENTS Individuals with a PhD in biology, biochemistry, chemistry, pharmacology, or structural biology with a strong history of application in the life sciences are encouraged to apply. A strong background and knowledge of structural biology is required.

Expertise with protein expression and purification, cryo-EM sample preparation (Vitrobot/Leica), and data collection on modern microscopes is needed. Experience with microscope operation, the latest single-particle cryo-EM data processing software (CryoSPARC, RELION, etc.), model building (Phenix, Coot, etc.), and working in a high-performance computing environment (Unix/Linux) is highly preferred. The ability to work with multidisciplinary partners with backgrounds in medicinal chemistry and computer-aided drug design, for example, is a must

Excellent written and verbal communication skills are essential in this role to share this work with the broader drug discovery community through published articles and presentations. ADDITIONAL APPLICATION INFORMATION This position reports to Dr. Bissan Al-Lazikani in Genomic Medicine with direct support and mentorship from Dr.

Jason Cross in the Institute for Applied Cancer Science Institute. Interested applicants should send a Cover Letter specifying past research experience/skills/accomplishments, a Curriculum Vitae, and the contact information of three (3) references to Dr. Jason Cross at JBCross@mdanderson.org with the subject line entitled "Postdoctoral Fellow - Application - Applicant's Name"

POSITION INFORMATION MD Anderson offers full-time postdoc positions with a salary ranging from $64,000 to $76,000. depending on the number of years of postgraduate experience. The University of Texas MD Anderson Cancer Center offers excellent benefits, including medical, dental, paid time off, retirement, tuition benefits, educational opportunities, and individual and team recognition Offsite work arrangements are subject to approval and may be modified or revoked at any time based on business needs, performance considerations, or regulatory requirements.

This position may be responsible for maintaining the security and integrity of critical infrastructure, as defined in Section 113.001(2) of the Texas Business and Commerce Code and therefore may require routine reviews and screening. The ability to satisfy and maintain all requirements necessary to ensure the continued security and integrity of such infrastructure is a condition of hire and continued employment. It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law

http://www.mdanderson.org/about-us/legal-and-policy/legal-statements/eeo-affirmative-action.html Apply


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