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Associate Machine Learning Chemistry Jobs in Virginia

Virginia Tech

Postdoctoral Associate

Blacksburg, VA · On-site

... chemistry Research experiences in machine learning and molecular simulation Demonstrated a strong publication record Overtime Status Exempt: Not eligible for overtime Appointment Type Restricted ...

Virginia Tech

Postdoctoral Associate

Blacksburg, VA

... Machine Learning (SciML). They will be expected to collaborate with members of the group as well as ... Chemistry, Biology or related fields. PhD must be awarded no more than four years prior to the ...

Cmu

Associate Data Scientist

Arlington, VA · On-site

$67K - $68K/yr

Data Scientists at the SEI use advanced statistics, data analytics, machine learning, and artificial intelligence to help our government and industry clients research and solve cybersecurity ...

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Associate Machine Learning Chemistry information

What is the difference between Associate Machine Learning Chemistry vs Associate Data Scientist?

AspectAssociate Machine Learning ChemistryAssociate Data Scientist
Required CredentialsBachelor's or Master's in Chemistry, Data Science, or related fields; familiarity with ML frameworksBachelor's or Master's in Data Science, Statistics, Computer Science; programming skills in Python/R
Work EnvironmentResearch labs, pharmaceutical or chemical companies, biotech firmsTech companies, finance, healthcare, consulting firms
Employer & Industry UsageUsed in industries applying ML to chemical data, drug discovery, materials scienceApplied across industries analyzing large datasets, predictive modeling

Associate Machine Learning Chemistry focuses on applying machine learning techniques specifically to chemical and scientific data, often within research or pharmaceutical settings. In contrast, Associate Data Scientist has a broader scope, working with various data types across multiple industries. Both roles require strong analytical skills and familiarity with ML tools, but their industry focus and data types differ.

What are Associate Machine Learning Chemists?

Associate Machine Learning Chemists are professionals who combine expertise in chemistry with skills in machine learning to analyze chemical data, develop predictive models, and accelerate scientific discovery. They often work on tasks like predicting molecular properties, optimizing chemical reactions, and supporting drug discovery efforts using computational tools. Typically, these roles require a strong foundation in chemistry, programming experience (often in Python), and familiarity with machine learning libraries. Associate positions are generally entry-level or early-career roles, providing support to senior scientists and data scientists in research and development teams.

How does an Associate Machine Learning Chemistry professional typically collaborate with research scientists and engineers?

As an Associate Machine Learning Chemistry professional, you will frequently work alongside research scientists and chemical engineers to develop predictive models and analyze experimental data. Collaboration involves translating chemical problems into machine learning tasks, sharing insights from model results, and participating in interdisciplinary meetings to refine research objectives. Effective communication and teamwork are essential, as you may be required to explain machine learning concepts to non-technical colleagues and integrate their domain expertise into your models. This collaborative environment fosters both scientific discovery and professional growth.

What are the key skills and qualifications needed to thrive as an Associate Machine Learning Chemistry, and why are they important?

To thrive as an Associate Machine Learning Chemistry professional, you need a solid background in chemistry, data analysis, and machine learning, typically supported by a relevant degree such as chemistry, computer science, or a related field. Experience with programming languages like Python, machine learning libraries (e.g., TensorFlow, scikit-learn), and cheminformatics software is highly valued. Strong problem-solving skills, attention to detail, and the ability to communicate complex concepts clearly are crucial soft skills. These competencies enable effective collaboration on interdisciplinary teams and the development of innovative solutions in computational chemistry research.
What are the most commonly searched types of Machine Learning Chemistry jobs in Virginia? The most popular types of Machine Learning Chemistry jobs in Virginia are:
What are popular job titles related to Associate Machine Learning Chemistry jobs in Virginia? For Associate Machine Learning Chemistry jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Associate Machine Learning Chemistry jobs in Virginia look for? The top searched job categories for Associate Machine Learning Chemistry jobs in Virginia are:
What cities in Virginia are hiring for Associate Machine Learning Chemistry jobs? Cities in Virginia with the most Associate Machine Learning Chemistry job openings:
Associate Machine Learning Chemistry jobs near you
Postdoctoral Associate

Postdoctoral Associate

Virginia Polytechnic Institute and State University

Blacksburg, VA • On-site

Full-time

Re-posted 15 days ago

Virginia Tech rating

7.8

Company rating: 7.8 out of 10

Based on 65 frontline employees who took The Breakroom Quiz

201st of 553 rated colleges and universities

Job description

Postdoctoral Associate
Job no: 536659
Work type: Research Faculty
Senior management: Agriculture & Life Sciences
Department: Food Science and Technology
Location: Blacksburg, Virginia
Categories: Agriculture / Life Science, Research / Scientific
Job Description
This postdoctoral associate position is available beginning in August 2026. The successful candidate will conduct research focused on converting agricultural and food processing byproducts into plant-based proteins and other value-added products, while applying machine learning and molecular modeling approaches to guide methodology development and process design. The candidate will also contribute to grant writing efforts to secure internal and external funding and mentor graduate and undergraduate students.
Required Qualifications
• Ph.D. in Food Science and Technology or a related field. Degree must be awarded no more than four years prior to the effective date of appointment with a minimum of one year eligibility remaining.
• Research experiences in food science and engineering
• Self-motivated, be able to work independently as well as collaboratively
• Demonstrated to publish high quality articles
Preferred Qualifications
• Research experiences in protein and carbohydrates chemistry
• Research experiences in machine learning and molecular simulation
• Demonstrated a strong publication record
Overtime Status
Exempt: Not eligible for overtime
Appointment Type
Restricted
Salary Information
53,550-65,029
Hours per week
40
Review Date
07/01/2026
Additional Information
The successful candidate will be required to have a criminal conviction check.
About Virginia Tech
Dedicated to its motto, Ut Prosim (That I May Serve), Virginia Tech pushes the boundaries of knowledge by taking a hands-on, transdisciplinary approach to preparing scholars to be leaders and problem-solvers. A comprehensive land-grant institution that enhances the quality of life in Virginia and throughout the world, Virginia Tech is an inclusive community dedicated to knowledge, discovery, and creativity. The university offers more than 280 majors to a diverse enrollment of more than 36,000 undergraduate, graduate, and professional students in eight undergraduate colleges, a school of medicine, a veterinary medicine college, Graduate School, and Honors College. The university has a significant presence across Virginia, including Blacksburg, the greater Washington, D.C. area, the Health Sciences and Technology Campus in Roanoke, sites in Newport News and Richmond, and numerous Extension offices and research institutes. A leading global research institution, Virginia Tech conducts more than $650 million in research annually.
Virginia Tech endorses and encourages participation in professional development opportunities and university shared governance. These valuable contributions to university shared governance provide important representation and perspective, along with opportunities for unique and impactful professional development.
Virginia Tech does not discriminate against employees, students, or applicants on the basis of age, color, disability, sex (including pregnancy), gender, gender identity, gender expression, genetic information, ethnicity or national origin, political affiliation, race, religion, sexual orientation, or military status, or otherwise discriminate against employees or applicants who inquire about, discuss, or disclose their compensation or the compensation of other employees or applicants, or on any other basis protected by law.
If you are an individual with a disability and desire an accommodation, please contact Dr. Haibo Huang at huang151@vt.edu during regular business hours at least 10 business days prior to the event.
Advertised: June 9, 2026
Applications close:
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About Virginia Tech

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Virginia Tech, guided by its motto "Ut Prosim" (That I May Serve), embraces a hands-on, interdisciplinary approach to educate scholars as leaders and problem-solvers. As a comprehensive land-grant institution, it enriches the quality of life in Virginia and worldwide, fostering an inclusive community focused on knowledge, discovery, and creativity. With over 280 majors, the university serves a diverse student body of more than 36,000 across undergraduate, graduate, and professional programs. Virginia Tech's presence extends throughout Virginia, including campuses in Northern Virginia, Roanoke, Newport News, and Richmond, along with multiple Extension offices and research centers. As a prominent global research institution, it conducts over $500 million in research annually.

Industry

Colleges, universities, and professional schools

Company size

5,001 - 10,000 Employees

Headquarters location

Blacksburg, VA, US

Year founded

1872

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