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Associate Machine Learning Chemistry Jobs in Indiana

Contribute to your area along with the enjoyment of learning specific functions, to continue to ... Associate Requirements * Background Check * Able to Lift 50 pounds * Drug Test * Stand for Shift ...

Senior Research Scientist

Indianapolis, IN · On-site

$94K - $120K/yr

... Chemistry, Computational Biology, Technical Development, and Preclinical Development. Collaborate with Computational Sciences to develop machine learning models for hit expansion and property ...

Apply machine learning and AI techniques to uncover leading indicators of health utilization trends ... The health of our associates and communities is a top priority for Elevance Health. We require all ...

Collaborate closely with the MLOps, product teams, business stakeholders, machine learning ... The health of our associates and communities is a top priority for Elevance Health. We require all ...

Apply machine learning and AI techniques to uncover leading indicators of health utilization trends ... The health of our associates and communities is a top priority for Elevance Health. We require all ...

Collaborate closely with the MLOps, product teams, business stakeholders, machine learning ... The health of our associates and communities is a top priority for Elevance Health. We require all ...

Job Summary Real Chemistry is looking for an Associate Strategy Director to join our growing team ... Learning Work Arrangements Real Chemistry is a hybrid and regional approach designed to foster ...

New

Health Data Science/AI Associate

Indianapolis, IN · On-site

$56K - $56K/yr

... scientists, associates contribute directly to meaningful research projects while developing ... Machine learning or artificial intelligence * Clinical or healthcare data * Data visualization ...

Showing results 41-60

Associate Machine Learning Chemistry information

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 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 the most commonly searched types of Machine Learning Chemistry jobs in Indiana?

The most popular types of Machine Learning Chemistry jobs in Indiana are:

What cities in Indiana are hiring for Associate Machine Learning Chemistry jobs?

Cities in Indiana with the most Associate Machine Learning Chemistry job openings:

Post Doc Research Associate

Purdue University

West Lafayette, IN • On-site

Full-time

Re-posted 9 days ago


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Job description

Post Doc Research Associate
City: West Lafayette
Job Description:
Job Summary
The Department of Physics and Astronomy at Purdue University is seeking a Postdoctoral Associate to join our dark matter group and work on the LZ experiment as well as the development of new detector technologies.
LZ is a dual-phase liquid xenon time projection chamber with world-leading sensitivity to major particle dark matter candidates. It also provides sensitivity to neutrinoless double-beta decay, a process that violates number conservation. Our group is involved in many aspects of the LZ experiment, from detector calibration, simulations to data analysis.
The successful candidate will play an active role in analyzing LZ data, with opportunities to improve simulation models used in rare-event searches, develop machine learning methods for background rejection, and place constraints on new physics using LZ datasets.
In addition, the postdoc will lead the development of a dedicated testbed to advance dark matter detection technologies. This work will involve close collaboration with the PI and technical staff to design, build, and operate a particle detector within a cryogenic system, evaluate photosensor performance beyond commercially rated specifications, and calibrate the detector response.
Application Information
The position is available for a flexible start date as early as May 1, 2026. We will begin reviewing applications on March 20, 2026, and continue until the position is filled.
Applications, including a CV and three letters of reference should be sent to Prof. Qing (Shilo) Xia (xia268@purdue.edu).
Informal inquiries should be sent to Prof. Qing (Shilo) Xia (xia268@purdue.edu), Department of Physics and Astronomy, Purdue University, 525 Northwestern Avenue, West Lafayette, Indiana 47907.

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