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Internship Remote Computational Chemistry Jobs (NOW HIRING)

General knowledge in at least one of the high performance computing (HPC) disciplines (such as CFD, FEA, Molecular Dynamics, Weather Forecasting, Computational Chemistry, Reservoir (Seismic ...

At Real Chemistry, making the world a healthier place isn't just an aspiration-it's our everyday ... This role can be remote in the US or in any of our US offices, including New York City and Chicago.

$14.50 - $18.75/hr

Interns contribute directly to clinical and operational initiatives involving 3D printing ... Computational Fluid Dynamics (CFD) and Fluid Mechanics research or practical experience The ...

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Internship Remote Computational Chemistry information

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How much do internship remote computational chemistry jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for internship remote computational chemistry in the United States is $19.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $20.91 per hour, depending on experience, location, and employer.

What is a remote internship in computational chemistry?

A remote internship in computational chemistry is a temporary, often project-based position where students or early-career scientists work from home or another remote location. Interns use computational tools and software to model, simulate, and analyze chemical systems under the guidance of experienced mentors. These internships typically involve tasks such as molecular modeling, data analysis, and programming, and allow interns to gain experience in the field without needing to be physically present in a laboratory or office. They are valuable for building skills, expanding professional networks, and exploring career paths in computational chemistry.

What types of projects or tasks can I expect to work on during a remote computational chemistry internship?

As a remote computational chemistry intern, you will typically assist with projects such as molecular modeling, data analysis, and running simulations using software like Gaussian or GROMACS. Your daily tasks may include preparing input files, analyzing simulation results, and collaborating with research scientists via virtual meetings. Interns often work on specific research problems, contribute to reports or presentations, and may have opportunities to co-author scientific publications. This role provides hands-on experience with industry-standard computational tools and exposure to real-world research workflows.

What are the key skills and qualifications needed to thrive in a remote computational chemistry internship?

To thrive as a Remote Computational Chemistry Intern, you need a solid background in chemistry, molecular modeling, and quantitative analysis, typically demonstrated through coursework or a relevant degree in chemistry or a related field. Familiarity with computational chemistry software (such as Gaussian, Schrödinger, or AMBER), programming languages like Python, and data analysis tools is commonly required. Strong problem-solving abilities, attention to detail, and effective communication skills set outstanding interns apart, especially in a remote setting. These competencies ensure interns can contribute to research projects, interpret complex data, and collaborate successfully within virtual teams.

What is the difference between Internship Remote Computational Chemistry vs Research Assistant in Computational Chemistry?

AspectInternship Remote Computational ChemistryResearch Assistant in Computational Chemistry
CredentialsUndergraduate or graduate student, relevant courseworkTypically graduate degree or equivalent experience
Work EnvironmentRemote, project-based, short-termLab or office, longer-term research projects
Employer & IndustryUniversities, research institutes, companiesUniversities, research labs, industry
Search & Comparison IntentEntry-level, internship opportunities, remote workResearch roles, academic or industry research positions

Internship Remote Computational Chemistry typically involves short-term, remote projects suitable for students gaining experience, while Research Assistant in Computational Chemistry is a more advanced, often longer-term role requiring higher credentials, with work often conducted on-site or in a lab setting. Both roles focus on computational chemistry but differ in experience level and work environment.

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

The most popular types of Remote Computational Chemistry jobs are:

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

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

Infographic showing various Internship Remote Computational Chemistry job openings in the United States as of August 2026, with employment types broken down into 83% Full Time, and 17% Temporary. Highlights an 100% Remote job distribution, with an average salary of $40,174 per year, or $19.3 per hour.

Senior/Staff AI Scientist, Antibody Design

Absci Corporation

Remote

$160K - $260K/yr

Full-time

Posted 15 days ago


Job description

About Absci
Absci is a clinical-stage biotechnology company advancing novel therapeutics using generative AI. Our Integrated Drug Creationâ„¢ platform combines cutting-edge AI models with a synthetic biology data engine, enabling the rapid design of innovative therapeutics that address challenging therapeutic targets.
Absci is a global company headquartered in Vancouver, WA, and maintains offices in New York City, Switzerland, and Serbia. Learn more at www.absci.com or follow us on LinkedIn (@absci), X (@Abscibio), and YouTube.
About the role
Absci is looking for a Senior/Staff AI Scientist to advance and deploy protein design models for antibody drug design. In this role, you will apply your broad expertise across specialized disciplines in AI Drug Discovery. We are looking for exceptional contributors with backgrounds in deep learning, protein design and engineering, drug discovery, natural language processing, computer vision, and molecular dynamics to develop innovative approaches to creating and assessing therapeutic antibodies in silico.
Absci offers AI Scientists a unique opportunity to both develop novel, cutting edge machine learning models and apply these models directly to identify novel targets, unlocking previously intractable disease interventions, and to generate candidate antibody therapeutics.
This is a remote position, with the option to work onsite at our New York City office or our Vancouver, WA headquarters if located within commuting distance
Why Absci's AI team?
Absci offers AI Scientists a unique opportunity to both develop novel, cutting edge machine learning models and apply these models directly to identify novel targets, unlocking previously intractable disease interventions, and to generate candidate antibody therapeutics. In particular we:
  • Provide our AI Scientists with access to industry-leading compute resources, enabling large-scale experimentation for model training and deployment
  • Maintain our own Wet Lab, enabling AI Scientists to validate novel modeling methods via rapid design > build > test > learn cycles
  • Developed and are growing our own pipeline of clinical-stage assets, enabling AI Scientists to see their work directly translated into therapeutic impact for patients

Responsibilities
  • Partner with team members across AI Research, AI Engineering, Computational Biology, and Protein Engineering to achieve success along the following axes:
    • Novel test-time compute strategies that maximize the quality and efficiency of our design pipelines.
    • Multi-objective optimization of therapeutic design goals
    • Solve key challenges of per-target design specification via innovative, AI-driven solutions.
  • Analyze in silico and in vitro validation results to iteratively improve design and evaluation methodologies
  • Develop, deliver and publish high-impact research that advances Absci's position as a thought leader in the field of AI antibody design
  • Invest in ensuring work is accessible and interpretable to scientists with other domain expertise.
  • Ability and willingness to learn new technical skills to improve scientific contributions

Qualifications
  • PhD or equivalent experience in Machine Learning, Computer Science, Computational Biology, Computational Chemistry, Biophysics, or a related field
  • 3+ years of research experience at the intersection of machine learning and protein design, molecular modeling, or a related field, ideally including industry experience.
  • Fluency in Python and PyTorch
  • Comfortable with design, implementation, and evaluation of state-of-the-art AI algorithms for protein design and protein structure prediction
  • Demonstrated ability to work collaboratively in an ambitious, fast-paced, interdisciplinary environment
  • Demonstrated experience presenting complex technical work to diverse audiences
  • Strong publication record in respected, high-impact journals and conferences

Legal authorization to work in the United States is required. Absci is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, sexual orientation, gender identity or expression, age, religion, national origin, ancestry, ethnicity, disability, veteran status, genetic information, marital status, or any characteristic protected under applicable law. Any applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which they have applied should make a request to the recruiter or hiring manager, or contact hiring@absci.com.