ZipRecruiter

Log In

3

Remote Entry Level Computational Chemistry Jobs (NOW HIRING)

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... of computational and theoretical chemistry. Research will involve the modeling of molecular ...

Mercor

Chemistry PhD - Safety Specialist

New York, NY · On-site +1

$65 - $70/hr

Remote Commitment: 15-40 hours/week Role Responsibilities * Write expert-level prompts across ... Deep familiarity with modern laboratory and computational techniques in your subfield. * Strong ...

next page

Showing results 1-20

All JobsComputational Chemistry JobsRemote Entry Level Computational Chemistry Jobs

Remote Entry Level Computational Chemistry information

See salary details

$16

$25

$34

How much do remote entry level computational chemistry jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for remote entry level computational chemistry in the United States is $25.04, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $28.37 per hour, depending on experience, location, and employer.

What are some common challenges faced by remote entry level computational chemists, and how can they be addressed?

Remote entry level computational chemists often encounter challenges such as limited access to immediate mentorship, establishing effective communication with team members, and managing complex computational tasks independently. To address these, it’s important to proactively seek regular check-ins with supervisors, participate in virtual lab meetings, and make use of online collaboration tools for sharing results and troubleshooting issues. Building a network with colleagues and joining professional online communities can also provide valuable support and learning opportunities.

What are remote entry level computational chemistry jobs?

Remote entry level computational chemistry jobs are positions that allow individuals, often recent graduates or those with limited professional experience, to work from home or any location outside of a traditional office. These roles typically involve using computer simulations, modeling, and data analysis to study chemical processes and solve problems in areas like drug discovery, material science, or environmental chemistry. Common tasks include running molecular simulations, analyzing computational data, and assisting with research projects under the guidance of senior scientists. These jobs often require a background in chemistry, computer science, or a related field, and familiarity with relevant software and programming languages.

What are the key skills and qualifications needed to thrive as a Remote Entry Level Computational Chemist, and why are they important?

A Remote Entry Level Computational Chemist typically needs a solid background in chemistry, physics, or related fields, often with a bachelor's or master's degree, and foundational knowledge of theoretical and computational chemistry. Familiarity with molecular modeling software (such as Gaussian, VASP, or Schrödinger) and coding languages like Python or MATLAB is commonly expected. Strong problem-solving abilities, attention to detail, and effective communication are crucial soft skills for collaborating remotely and interpreting complex data. These skills and qualifications enable accurate simulations, efficient teamwork, and contribute to scientific innovation in computational chemistry projects.
More about Remote Entry Level Computational Chemistry jobs
What cities are hiring for Remote Entry Level Computational Chemistry jobs? Cities with the most Remote Entry Level Computational Chemistry job openings:
What states have the most Remote Entry Level Computational Chemistry jobs? States with the most job openings for Remote Entry Level Computational Chemistry jobs include:
What job categories do people searching Remote Entry Level Computational Chemistry jobs look for? The top searched job categories for Remote Entry Level Computational Chemistry jobs are:
Remote Entry Level Computational Chemistry jobs near you
Infographic showing various Remote Entry Level Computational Chemistry job openings in the United States as of July 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% Remote job distribution, with an average salary of $52,079 per year, or $25 per hour.
TEMP - Senior Scientist, Computational Chemistry (Remote, Hybrid, or San Diego)

TEMP - Senior Scientist, Computational Chemistry (Remote, Hybrid, or San Diego)

Neurocrine Biosciences, Inc.

San Diego, CA • On-site, Remote

$97K - $132K/yr

Full-time

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

Job description

Who We Are:
At Neurocrine Biosciences, we pride ourselves on having a strong, inclusive, and positive culture based on our shared purpose and values. We know what it takes to be great, and we are as passionate about our people as we are about our purpose - to relieve suffering for people with great needs.
What We Do:
Neurocrine Biosciences is a leading neuroscience-focused, biopharmaceutical company with a simple purpose: to relieve suffering for people with great needs. We are dedicated to discovering and developing life-changing treatments for patients with under-addressed neurological, neuroendocrine and neuropsychiatric disorders. The company's diverse portfolio includes FDA-approved treatments for tardive dyskinesia, chorea associated with Huntington's disease, classic congenital adrenal hyperplasia, endometriosis* and uterine fibroids,* as well as a robust pipeline including multiple compounds in mid- to late-phase clinical development across our core therapeutic areas. For three decades, we have applied our unique insight into neuroscience and the interconnections between brain and body systems to treat complex conditions. We relentlessly pursue medicines to ease the burden of debilitating diseases and disorders because you deserve brave science. For more information, visit neurocrine.com, and follow the company on LinkedIn, X and Facebook. (*in collaboration with AbbVie)
About the Role:
Neurocrine is expanding our R&D chemistry capabilities. In this exciting new role, you will be instrumental in the success of our growing computational chemistry team. The successful candidate will be responsible for the execution of computational driven methodologies to help design optimized compounds with balanced properties (targets, DMPK, in-vivo) in drug discovery programs, that could range from early lead identification to late-stage optimization phase. Will be a member of multi-disciplinary drug discovery teams of medicinal chemists, DMPK, structural biologists and pharmacologists, where opportunities to impact will abound.
Experience with Molecular Modeling domains is required, as applied to compound design and optimization such as Pharmacophore Analyses, Library Design, virtual HTS, Diversity/Similarity Analyses, Scaffold Hopping. A demonstrated success with an overall application of several integrated approaches (ex: ML derived predictions, Modeling SBD/ LBD) to progressing compound design contextual in drug discovery, is highly desirable and will serve as a strong bonus to consideration. Publications, posters or documented examples would be helpful.
Preference also given to candidates with previous roles in biotech/pharma companies and capable of independently driving forward Drug Discovery projects involving Structure Based Design including, but not limited to, target protein flexibility considerations.
Exposure to harnessing large datasets including public domain datasets of chemistry related to various targets and/or chemogenomic nature would be an asset.
Knowledge about computational technologies for the assessment of early-stage targets (ex: druggability) is helpful but not essential. Familiarity with well-known commercial molecular modeling software suites is also desirable such as Schrodinger, CCG or Open Eye.
Your Contributions (include, but are not limited to):
Your Contributions (include, but are not limited to):
  • Projects could range from early lead identification to the late-stage optimization of advanced projects. In particular, you will be able to join and potentially lead the development of an in-silico modeling platform within the Chemistry Department. As an active contributing member of multi-disciplinary drug discovery projects comprised of Medicinal Chemists, Biologists, DMPK & toxicologists there will be enormous opportunities to impact projects, as well as ample collaboration opportunities to share and learn from similar ML-derived predictive modeling efforts in other Neurocrine's R&D functions
  • Expertise with structure-based design methods to support drug discovery projects in the industry
  • Contributes to the Computational Chemistry group's efforts in implementing computational chemistry and/or cheminformatics methods for expediting the Design-Make-Test-Analyze discovery cycle
  • Generates productive hypotheses from Protein-ligand docking, for project teams that leads to successful compound optimization in subsequent design cycles
  • Develops advanced Machine Learning/AI in-silico models for numerous DMPK/in-vitro Biology endpoints, for front-loading projects with appropriate predictive information, to enable more efficient MPO analyses
  • Takes ownership of predictive platform and provides maintenance including regular updates
  • Facilitate the medicinal chemists design new compounds with desirable optimizable properties that are predicted using cutting-edge computational technologies integrating structural, chemical and biological data
  • Employs computational platform to make significant contribution to rationalizing experimental results, SAR evolution, and generating impactful ideas that are aligned with team's strategy to progress compounds forward in projects
  • Plays a lead role in identifying and/or developing/refining new computational methods, in tandem with self-interest and relevance to projects, to help augment Neurocrine's Computational Chemistry platform for Drug Discovery
  • Participates in a multidisciplinary team committed to the continuous improvement of the lead optimization process as well as the expeditious identification of development compounds.
  • Engages stakeholders from multiple Research functions to deliver and/or exchange key results
  • May contribute to the assessment of early-stage projects to help determine its entry into portfolio
  • Keeps abreast of developments of related interest through literature and advises project teams and/or computational chemistry group of innovation that could be harnessed into improving our platform
  • Aligned with strategies emanating from project teams, department and computational chemistry group
  • Conducive to sharing knowledge, practices, and work details, as needed, with teams and receptive to incorporating ideas from teams for continuous enrichment to best practices
  • Other duties as assigned

Requirements:
  • BS/BA degree in Chemistry and 5+ years of relevant experience, including familiarity utilizing any or all of the following: Machine Learning/AI based predictive modeling, Cheminformatics, Protein-Ligand modeling is preferred OR
  • MS/MA degree in Chemistry and 3+ years of similar experience noted above OR
  • 3+ years of post-Ph.D experience preferred
  • Recognizes fundamental anomalies in data points and identifies issues in experiments / processes
  • Begins to understand how to think outside of the technical process and consider the impact decisions will have on the broader scientific goals
  • Strong knowledge of scientific discipline
  • Good knowledge of scientific principles, methods and techniques
  • Good knowledge and demonstrated ability working with a variety of laboratory equipment/tools
  • Strong computer skills
  • Good problem-solving, analytical thinking skills
  • Detail oriented
  • Ability to meet deadlines
  • Excellent communication skills with the ability to collaborate with cross-functional scientists

The pay you should reasonably expect to receive is $53.26 - $77.21 per hour.
Decisions depend on various factors, such as primary work location, complexity and responsibility of role, job duties/requirements, and relevant experience and skills.
#LI-OB1
Requirements:
Neurocrine Biosciences is an EEO/Disability/Vets employer.
We are committed to building a workplace of belonging, respect, and empowerment, and we recognize there are a variety of ways to meet our requirements. We are looking for the best candidate for the job and encourage you to apply even if your experience or qualifications don't line up to exactly what we have outlined in the job description.

Apply