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Associate Machine Learning Chemistry Jobs in Utah

Leash Biosciences is at the forefront of integrating machine learning with drug discovery, aiming to revolutionize medicinal chemistry. They are seeking a highly skilled Machine Learning Engineer to ...

Adjunct, Chemistry

UT ยท On-site

  • Retirement

... Associate Dean, in program and class-related duties such as classroom (including online ... Instructional delivery, management of learning environment and assessment of student learning for ...

Post Doc Res Assoc

Salt Lake City, UT ยท On-site

$65K - $73K/yr

  • Retirement

Details Open Date 03/27/2026 Requisition Number PRN44612B Job Title Post Doc Res Assoc Working ... Machine learning for biological data (e.g., protein language models, transformers, generative ...

Adjunct, Chemistry Lab

UT ยท On-site

  • Retirement

... Associate Dean, in program and class-related duties such as classroom (including online ... Instructional delivery, management of learning environment, and assessment of student learning for ...

Post Doc Res Assoc

Salt Lake City, UT ยท On-site

$65K - $73K/yr

  • Retirement

Announcement Details Open Date 03/27/2026 Requisition Number PRN44612B Job Title Post Doc Res Assoc ... Machine learning for biological data (e.g., protein language models, transformers, generative ...

Machine Operator

American Fork, UT

$20/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Machine Operator in American Fork UT ... This is a great opportunity to further your existing skills as a Warehouse Associate while learning ...

Bachelor's degree or higher in Biology, Microbiology, Chemistry, or a related field. * Extensive ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Bachelor's degree or higher in Biology, Microbiology, Chemistry, or a related field. * Extensive ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

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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 is an associate machine learning chemistry?

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 cities in Utah are hiring for Associate Machine Learning Chemistry jobs? Cities in Utah with the most Associate Machine Learning Chemistry job openings:
Infographic showing various Associate Machine Learning Chemistry job openings in Utah as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, 1% Temporary, and 2% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution.

Machine Learning Engineer

Leash Bio

Salt Lake City, UT โ€ข On-site

Full-time

Re-posted 6 days ago


Job description

Job Summary:
Leash Biosciences is at the forefront of integrating machine learning with drug discovery, aiming to revolutionize medicinal chemistry. They are seeking a highly skilled Machine Learning Engineer to manage large datasets, optimize cloud-based computing resources, and train advanced machine-learning models to contribute to new therapies for devastating diseases.
Responsibilities:
โ€ข Manage and optimize data processing workflows for large-scale datasets, with an approach akin to language data handling.
โ€ข Scale and maintain machine learning model training processes, with a focus on cloud environments (primarily Google Cloud, with flexibility to other platforms).
โ€ข Collaborate closely with ML researchers, data scientists, and lab automation teams to ensure seamless integration of lab data and ML model training.
โ€ข Innovate and iterate on our existing technology stack, taking the initiative to solve problems and improve our ML operations.
โ€ข Act as a self-sufficient project manager, overseeing your projects from conception to completion.
Qualifications:
Required:
โ€ข Strong experience in machine learning engineering, including data handling, model training, and scaling in cloud environments.
โ€ข Comfortable building ML infrastructure
โ€ข Experience working with large amounts of text data, NLP, or training LLMs
โ€ข Demonstrated capability to make informed decisions, take ownership of solutions, and drive projects forward in a startup environment.
โ€ข Excellent collaboration skills, with the ability to work effectively with cross-functional teams.
Preferred:
โ€ข Familiarity with common MLops tooling (e.g., Dagster, Prefect, Airflow, Docker, MLflow, Kubeflow, W&B, Ray, etc.)
โ€ข Ability to manage own compute cluster
โ€ข Ability to maximize GPU utilization and keep cluster busy 24/7
โ€ข Ability to analyze model results and kick off new experiments in response
โ€ข Experience with BERT or similar language models in PyTorch.
โ€ข Experience or interest in biology, chemistry, or related fields is a plus.
Company:
Leash Bio uses AI and machine learning to innovate drug design and medicinal chemistry. Founded in 2021, the company is headquartered in Salt Lake City, USA, with a team of 2-10 employees. The company is currently Early Stage.