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Associate Machine Learning Chemistry Jobs in Indiana

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 ...

Specialist II- Technical Trainer

Greenfield, IN · On-site

$31.25 - $41.50/hr

... Associates, Machine Maintenance, Facilities Maintenance personnel, and other technical associates. Utilizing Training Within Industry (TWI) methodologies, adult learning principles, and industry ...

Manufacturing Technical Trainer

Greenfield, IN

$31.25 - $41.50/hr

... Associates, Machine Maintenance, Facilities Maintenance personnel, and other technical associates. Utilizing Training Within Industry (TWI) methodologies, adult learning principles, and industry ...

Manufacturing Technical Instructor

Greenfield, IN · On-site

$31.25 - $41.50/hr

Associates, Machine Maintenance, Facilities Maintenance personnel, and other technical associates. Utilizing Training Within Industry (TWI) methodologies, adult learning principles, and industry ...

Production Associate - Forklift Operator

Lafayette, IN · On-site

$14.50 - $18.25/hr

... machinery. Production Associates will use small tools, handle materials for shipping & receiving ... We believe in flexibility and learning all jobs, so we ask that you be able to work in any ...

Production Associate - Forklift Operator

Lafayette, IN · On-site

$14.50 - $18.25/hr

... machinery. Production Associates will use small tools, handle materials for shipping & receiving ... We believe in flexibility and learning all jobs, so we ask that you be able to work in any ...

High School Science Teacher

Merrillville, IN · On-site

$47K - $61K/yr

... chemistry, and physics; develops students skills and abilities in scientific methods and problem ... student learning. - Develops lesson plans and instructional materials for subject area, and ...

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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 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:
Assistant/Associate Professor of Mechanical Engineering

Assistant/Associate Professor of Mechanical Engineering

Marian University

Indianapolis, IN • On-site

Full-time

Re-posted yesterday


Marian University (Indiana) rating

8.4

Company rating: 8.4 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

79th of 546 rated colleges and universities


Job description

As a part of a diverse community of faculty and staff who represent many faith systems and worldviews, the E.S. Witchger School of Engineering at Marian University in Indianapolis invites applications for a full-time, tenure-track assistant/associate professor in mechanical engineering, starting August 2026. Mechanical engineering is the largest program under the Department of Biomedical, Chemical, and Mechanical Engineering. Exceptional candidates with vision, leadership potential, and passion will be considered for the position of Associate Professor with Tenure and Chair of the Department of Mechanical Engineering. We seek candidates in all related fields, who will promote Marian University's Catholic Franciscan mission and identity by providing learners with emphasis on advanced manufacturing, robotics, automation, additive manufacturing, artificial intelligence, machine learning, sustainable engineering, renewable energy, controls, and mechatronics.
Marian University is a Catholic, comprehensive, national university experiencing significant growth and expanded academic offerings in recent years. We offer a broad range of programs grounded in Franciscan and liberal arts traditions. Applicants should demonstrate a commitment to student learning and the ability to develop a productive research program. The successful candidate will support the university's Catholic mission and promote innovative pedagogy, integrating hands-on training and community-based learning across the curriculum. As a KEEN network university, Witchger Engineering integrates entrepreneurial-minded learning into our curriculum. Our collaborative and growing community values student engagement, problem-solving, and communication. Marian University encourages applications from candidates of all backgrounds.
Indianapolis is a dynamic city, recognized for its cultural, dining, and sporting opportunities, and regularly ranked among the "Best Places to Live" by Money Magazine and as one of Time Magazine's "World's Greatest Places."
Essential Duties and Responsibilities:
  • Actively engage the Catholic Franciscan mission and identity of Marian University by modeling the Franciscan Sponsorship Values and honoring the legacy of the founding congregation through transformative education, unity in diversity, leadership through service, integrating faith and life, and institutional policies.
  • Teach up to 12 credit hours per semester. Course releases may be available for those participating in research, developing innovative pedagogy, or performing other duties.
  • Demonstrate academic excellence, the potential for distinctive contributions to the holistic development of students and help advance the mission and values of the university.
  • Engage students in research, scholarship, and other professional activities.
  • Mentor and advise students through academic advising, student societies, research, and internship opportunities.
  • Participate in the life of the campus, including participation in faculty governance and co-curricular programs within the engineering school and across the university.
  • Contribute to curriculum development and assessment within the department.

University Expectations:
  • Knowledge of and a commitment to the mission of Marian University
  • Adheres to Marian University's policies and procedures
  • Shows courtesy and respect in interactions with fellow employees, students subordinates, and supervisors
  • Communicates regularly with supervisor about Department issues
  • Meets department productivity standards
  • Participates in developing department goals, objective, and systems
  • Assists to establish department measurements that align and support the accomplishment of the University's strategic goals
  • Adheres to the department budget

Required Qualifications:
  • Knowledge of and commitment to the mission and strategic vision of Marian University.
  • A Ph.D. in Mechanical Engineering or a closely related field.
  • Demonstrated potential for excellence and innovation in student-centered instruction of students of varying abilities at the university level.
  • Demonstrated interest in science teaching pedagogy, curriculum and program development. Experience with online teaching is preferred.
  • Potential for ongoing research, publication, and activity in professional associations.
  • Excellent communication and interpersonal skills.
  • Demonstrated ability to collaborate with colleagues of diverse backgrounds.
  • Leadership experience and vision for those considered for associate professor with tenure and chair of mechanical engineering

Review of applications will begin February 2 and continue until the position is filled.
For Consideration, All Applications Require:
  1. Cover Letter
  2. Current resume or CV
  3. Research Statement
  4. Teaching Statement
  5. Contact information of three professional references. The reference contact information must be entered after the application is submitted in the "My Presence" section of the applicant profile.
  6. Responses to the supplementary mission & identity questions.

Please review Marian University's Mission & Identity Statement before responding to the supplementary questions on your application:
https://www.marian.edu/faith
Information requests should be sent to Dr. Daba Gedafa (dgedafa@marian.edu), Dean of the E.S. Witchger School of Engineering.
Essential Functions:Work hours necessary to perform job requirements satisfactorily on a regular basis. Manage absence from work in responsible manner to ensure service to clients, work teams, and coworkers. Comply with Marian University policies and practices and seeking clarification of them when necessary.
Physical Requirements:The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
While performing the duties of this job, the employee is regularly required to sit; use their hands to handle or feel objects, equipment, or controls; and talk or hear. The employee is occasionally required to stand, walk, reach with their hands and arms, climb or balance, and stoop, kneel, crouch, or crawl.
The employee must occasionally lift and/or move up to 50 pounds. Specific vision abilities required by this job include close vision, distance vision, and the ability to adjust focus.
Work Environment:The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Limitations and Disclaimer:The above job description is meant to describe the general nature and level of work being performed; it is not intended to be construed as an exhaustive list of all responsibilities, duties and skills required for the position.
All job requirements are subject to possible modification to reasonably accommodate individuals with disabilities. Some requirements may exclude individuals who pose a direct threat or signify can't risk to the health and safety of themselves or other employees.
This job description in no way states or implies that these are the only duties to be performed by the employee occupying this position. Employees will be required to follow any other job-related instructions and to perform other job-related duties requested by their supervisor in compliance with Federal and States Laws.
Requirements are representative of minimum levels of knowledge, skills and/or abilities. To perform this job successfully, the employee must possess the abilities or aptitudes to perform each duty proficiently. Continued employment remains on an "at-will" basis.
Marian University is an Equal Opportunity Employer. All individuals, including minorities, women, individuals with disabilities, and veterans, are encouraged to apply.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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