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Remote Computational Materials Science Jobs in Missouri

Eurofins

Computational Chemist

Saint Charles, MO · On-site +1

... material sciences and in the support of clinical studies. In over just 30 years, Eurofins has grown from one laboratory in Nantes, France to over 50,000 staff across a network of more than 900 ...

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Physical Chemistry Tutor

Saint Louis, MO · Remote

$18 - $40/hr

Emphasizes mathematical rigor in chemical reasoning and connects physical chemistry to materials science, nanotechnology, and computational chemistry applications. * Curriculum Awareness & Adaptive ...

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Remote Computational Materials Science information

What is remote computational materials science?

Remote computational materials science involves using computer simulations and modeling techniques to study and design materials, all while working from a remote location rather than in a physical lab. Researchers in this field use software tools to predict the properties and behaviors of materials at the atomic or molecular level, which can accelerate the discovery of new materials for applications in energy, electronics, and manufacturing. Remote computational materials scientists commonly collaborate with teams online, analyze data, and run simulations on high-performance computing systems accessible via the internet.

What are some common challenges faced when working remotely in computational materials science, and how can they be addressed?

Remote computational materials scientists often encounter challenges such as coordinating with interdisciplinary teams across different time zones and ensuring efficient access to high-performance computing resources. Clear communication through regular virtual meetings and collaborative platforms helps maintain project alignment. Additionally, staying organized with version control systems and thorough documentation is essential for seamless teamwork. Being proactive about addressing technical issues, such as software compatibility or data transfer limitations, also ensures productivity.

What are the key skills and qualifications needed to thrive as a remote computational materials scientist, and why are they important?

To thrive as a Remote Computational Materials Scientist, you need a strong background in materials science, physics, or chemistry, often with a PhD or advanced degree, and expertise in computational modeling. Familiarity with simulation software like VASP, Quantum ESPRESSO, or LAMMPS, as well as proficiency in programming languages such as Python or Fortran, is typically required. Excellent problem-solving skills, self-motivation, and clear written communication are crucial for collaborating remotely and conveying complex results. These competencies enable effective independent research, accurate data analysis, and seamless teamwork in a virtual scientific environment.

What is the difference between Remote Computational Materials Science vs Remote Materials Data Analyst?

AspectRemote Computational Materials ScienceRemote Materials Data Analyst
Required CredentialsAdvanced degrees in materials science, physics, or chemistry; experience with computational modelingBachelor's or master's in data science, materials science, or related fields; proficiency in data analysis tools
Work EnvironmentResearch-focused, using simulation software and programmingData processing, visualization, and reporting using analytics platforms
Employer & Industry UsageResearch institutions, R&D departments in manufacturing, tech companiesManufacturers, consulting firms, research labs analyzing material data

Remote Computational Materials Science involves simulating and modeling materials at the atomic or molecular level, requiring programming and scientific expertise. In contrast, Remote Materials Data Analysts focus on analyzing existing material data to inform decisions, emphasizing data skills. Both roles are essential in materials research but differ in their core activities and skill sets.

What are the most commonly searched types of Computational Materials Science jobs in Missouri?

The most popular types of Computational Materials Science jobs in Missouri are:

What are popular job titles related to Remote Computational Materials Science jobs in Missouri?

For Remote Computational Materials Science jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Remote Computational Materials Science jobs in Missouri look for?

The top searched job categories for Remote Computational Materials Science jobs in Missouri are:

What cities in Missouri are hiring for Remote Computational Materials Science jobs?

Cities in Missouri with the most Remote Computational Materials Science job openings:

Remote Computational Materials Science jobs near you

Computational Chemist

Saint Charles, MO • On-site, Remote

Eurofins
Scientific Research and Development Services • 10K+ employees

7.5

Company rating: 7.5 out of 10

Based on 181 frontline employees who took The Breakroom Quiz

63rd of 120 rated laboratories

Good employer

Recommended by students

Recommended by parents

Learn more about Eurofinsexternal

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago

Job description

Company Description
Eurofins Scientific is an international life sciences company, providing a unique range of analytical testing services to clients across multiple industries, to make life and our environment safer, healthier and more sustainable. From the food you eat, to the water you drink, to the medicines you rely on, Eurofins works with the biggest companies in the world to ensure the products they supply are safe, their ingredients are authentic and labelling is accurate.Eurofins believes it is a global leader in food, environmental, pharmaceutical and cosmetics products testing and in agroscience CRO services. It is also one of the global independent market leaders in certain testing and laboratory services for genomics, discovery pharmacology, forensics, CDMO, advanced material sciences and in the support of clinical studies.
In over just 30 years, Eurofins has grown from one laboratory in Nantes, France to over 50,000 staff across a network of more than 900 independent companies in over 50 countries and operating more than 800 laboratories. Eurofins offers a portfolio of over 200,000 analytical methods to evaluate the safety, identity, composition, authenticity, origin, traceability and purity of biological substances and products, as well as providing innovative clinical diagnostic testing services, as one of the leading global emerging players in specialized clinical diagnostics testing.
In 2021, Eurofins generated total revenues of EUR € 6.7 billion, and has been among the best performing stocks in Europe over the past 20 years.
Job Description
Eurofins Discovery is very motivated to apply computational sciences, data visualization, bioinformatics and other data-driven approaches to all steps of the drug development process at every level of the organization. Given the expanding scope of the Drug Discovery Chemistry group's operations, the successful candidate will have the opportunity to continue to build on the existing team to achieve this goal. S/he will be a champion of promoting computational sciences as an integral part of Hit Finding campaigns, modern ML/AI supported drug discovery and Eurofins flagship Integrated Drug Discovery Programs under DiscoveryOne. Work closely with DiscoveryAI business to support/lead Eurofins Discovery wider AI based initiatives.
This individual will be responsible for technical consultation with our chemistry and biology experts and scientists, overseeing and leading scientific data governance, analytical tool development, computational chemistry methods development, and meta-analyses of internal and external data from multiple technologies.
Essential Duties and Responsibilities:
  • Represent Computational Chemistry as the subject matter expert for nonclinical research and development;
  • Independently pursue research projects, implement novel computational workflows and support a dynamic multi-disciplinary team focused on moving projects from the hit identification stage to the discovery of clinical candidate;
  • Contribute to the development, implementation and utilization of state-of-the-art computational software, computer aided drug design and simulation techniques to help drive in silico drug discovery activities;
  • Responsible for the analysis, interpretation, integration and reporting of research informatics data generated with internal teams and external clients;
  • Partner with and support medicinal chemistry team during lead optimization related activities such as docking and scoring of the molecules from rational drug design
  • Apply or develop new tools or data-mining techniques for integrative analysis and visualization of large data sets;
  • Participate in data governance objectives working closely with IT and the laboratory teams;
  • Provide transparency and regular communication on project status, potential roadblocks for execution, and new strategies with Drug Discovery Chemistry leadership;
  • Owns the accountability and responsibility of delivering to client needs and timeliness;
  • Provides cross-functional support to other departments as required;

Qualifications
  • Proven track record of impact in drug discovery projects (e.g., contribution to lead identification/optimization, progression of compounds into development)
  • Strong understanding of medicinal chemistry principles and the ability to translate computational insights into actionable design hypotheses
  • Experience with ligand-based design approaches (e.g., QSAR, similarity searching, conformational analysis)
  • Knowledge of free energy methods (e.g., FEP, MM-GBSA) and their practical application/limitations
  • Experience handling and curating large chemical and biological datasets (data quality, standardization, reproducibility)
  • Familiarity with modern AI/ML approaches in drug discovery (e.g., deep learning, generative models) and their appropriate use cases
  • Ability to design, validate, and benchmark computational workflows rather than only applying existing protocols
  • Strong statistical thinking and understanding of uncertainty, validation strategies, and model performance metrics
  • Experience working in cross-functional teams (medicinal chemistry, biology, DMPK) and communicating results to non-experts
  • Good software engineering practices (version control, reproducible pipelines, documentation)
  • Exposure to ADMET prediction tools and integration into design cycles
  • Ability to critically assess experimental data (SAR, assay variability) and integrate it into modeling efforts Leadership or mentoring experience Strategic thinking in selecting and deploying computational, AI & ML approaches aligned with project goals
  • Proven ability to successfully influence cross-functionally and to be sought after as a technical expert within the computational sciences applied to drug development domain
  • Travels to other Eurofins facilities is required

Additional Information
The position is full-time, Monday-Friday, 8 a.m.- 5 p.m., with overtime as needed.
  • Excellent full time benefits including comprehensive medical coverage, dental, and vision options
  • Life and disability insurance
  • 401(k) with company match
  • Paid vacation and holidays

Eurofins USA Discovery Services is a Disabled and Veteran Equal Employment Opportunity employer.
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About Eurofins

Sourced by ZipRecruiter

Industry

Scientific research and development services, biotechnology research and development and environmental consulting services

Company size

10,000+ Employees

Headquarters location

Leacock, PA, US

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