2

Remote Computational Chemistry Phd Jobs (NOW HIRING)

Remote Duration: 6 weeks Commitment: 20+ hours/week Role Responsibilities * Source material from ... PhD in chemistry, physical chemistry, theoretical chemistry, computational chemistry, or a closely ...

$124K - $172K/yr

PhD or equivalent degree in computational chemistry (or related field) with 2+ years of relevant experience in drug discovery * Experience supporting active small molecule drug discovery programs

Remote Commitment: 10+ hours/week Role Responsibilities * Author original chemistry questions that ... Qualifications Must-Have * PhD or doctoral candidate in Chemistry , Biochemistry , Chemical ...

Utilize computational chemistry and mass spectrometry toolkits to model chemical properties ... Hybrid Work Environment with remote and onsite work flexibility based on program requirements ...

next page

Showing results 1-20

Remote Computational Chemistry Phd information

See salary details

$50.5K

$111.3K

$137.5K

How much do remote computational chemistry phd jobs pay per year?

As of Aug 31, 2026, the average yearly pay for remote computational chemistry phd in the United States is $111,343.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,500.00 and $137,000.00 per year, depending on experience, location, and employer.

What is a remote computational chemistry PhD?

A Remote Computational Chemistry PhD is a doctoral degree program focused on using computer simulations, modeling, and theoretical chemistry to solve complex chemical problems, with the flexibility to study and conduct research from a remote location. Students typically work on topics such as molecular dynamics, quantum chemistry, or drug design, often collaborating virtually with research groups and advisors. This format allows for greater flexibility and accessibility, especially for those unable to relocate, while still providing rigorous training in computational methods and scientific research.

What are the key skills and qualifications needed to thrive as a remote computational chemistry PhD?

To thrive as a Remote Computational Chemistry PhD, you need advanced knowledge of quantum chemistry, molecular modeling, and statistical analysis, typically supported by a PhD in chemistry or a related field. Proficiency in programming languages (such as Python or C++), computational chemistry software (like Gaussian or Schrödinger), and high-performance computing platforms is essential. Strong problem-solving skills, effective written communication, and the ability to work independently make someone stand out in this remote role. These competencies enable accurate research outcomes, seamless remote collaboration, and impactful scientific contributions.

What are some common challenges faced by remote computational chemistry PhDs when collaborating with cross-functional teams?

Remote Computational Chemistry PhDs often work closely with interdisciplinary teams, including experimental chemists, data scientists, and software engineers. A common challenge is effective communication, especially when translating complex computational results into actionable insights for non-specialists. Additionally, coordinating across different time zones and ensuring access to high-performance computing resources can require proactive planning. However, strong collaboration tools and regular virtual meetings can help overcome these challenges and foster productive teamwork.

What is the difference between Remote Computational Chemistry Phd vs Remote Chemist?

AspectRemote Computational Chemistry PhdRemote Chemist
Required credentialsPhD in Chemistry, Computational Chemistry specializationBachelor's or Master's in Chemistry or related field
Work environmentResearch-focused, often in academia or R&D departmentsIndustry labs, pharmaceutical companies, or research firms
Employer and industry usageAcademic institutions, government agencies, research organizationsPharmaceutical, biotech, chemical manufacturing companies
Common search and comparison intentUnderstanding advanced research roles requiring a PhD in computational methodsGeneral chemistry roles in industry or research

Remote Computational Chemistry Phd roles typically require a PhD and focus on advanced computational research, often in academia or research institutions. Remote Chemist positions are more industry-oriented, requiring a bachelor's or master's degree, and are found in pharmaceutical or chemical companies. Both roles involve research but differ in credentials, work environment, and industry application.

More about Remote Computational Chemistry Phd jobs

What cities are hiring for Remote Computational Chemistry Phd jobs?

Cities with the most Remote Computational Chemistry Phd job openings:

What are the most commonly searched types of Computational Chemistry Phd jobs?

The most popular types of Computational Chemistry Phd jobs are:

What states have the most Remote Computational Chemistry Phd jobs?

States with the most job openings for Remote Computational Chemistry Phd jobs include:

What job categories do people searching Remote Computational Chemistry Phd jobs look for?

The top searched job categories for Remote Computational Chemistry Phd jobs are:

Infographic showing various Remote Computational Chemistry Phd job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 25% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 1% Hybrid, and 12% Remote job distribution, with an average salary of $111,343 per year, or $53.5 per hour.

Computational Chemist - Fully Remote | Upto $70/hr

San Francisco, CA • Remote

$70/hr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Chemistry PhD Coding Experts
Type: Contract
Compensation: $70/hour
Location: Remote
Duration: 6 weeks
Commitment: 20+ hours/week

Role Responsibilities

  • Source material from published papers, Kaggle datasets, open-source repositories, or self-designed scenarios.
  • Write scientific prompts based on the input to challenge current AI models.
  • Build grading criteria that define correct answers for scientific tasks.
  • Calibrate tasks against frontier models, ensuring they are challenging for strong models.
  • Work independently and asynchronously to meet deadlines while improving AI model performance.

Qualifications

Must-Have

  • PhD in chemistry, physical chemistry, theoretical chemistry, computational chemistry, or a closely related field.
  • Demonstrated depth in both quantum chemistry and computational chemistry.
  • Working proficiency in Python, R, or another relevant programming language for scientific computing.
  • Comfortable with Git/GitHub and running code in Docker.

Preferred

  • Publications in peer-reviewed journals.
  • Prior scientific software or research engineering experience.

Start Date

  • Immediate

Application Process (Takes 20–30 mins to complete)

  • Upload resume and application form
  • A 25-minute conversational interview covering your background, experience, and motivations
  • Follow up within a few days with next steps and onboarding

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.