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Associate Machine Learning Chemistry Jobs in Plano, TX

AI Engineering Associate Director

Plano, TX · On-site

$151.40 - $202.50/hr

AI Engineering Associate Director We are seeking an experienced AI Engineer to design, build, test, and deploy artificial intelligence, machine learning, and generative AI solutions across industries.

AI Engineering Associate Director

Plano, TX · On-site

$243K/yr

We are currently seeking a AI Engineering Associate Director to join our team in Plano, Texas (US ... Hands-on experience building AI, machine learning, generative AI, analytics, automation, or data ...

Showing results 21-40

Associate Machine Learning Chemistry information

See Plano, TX salary details

$30.1K

$127.4K

$301K

How much do associate machine learning chemistry jobs pay per year?

As of Aug 19, 2026, the average yearly pay for associate machine learning chemistry in Plano, TX is $127,352.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,000.00 and $193,300.00 per year, depending on experience, location, and employer.

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 Plano, TX?

The most popular types of Machine Learning Chemistry jobs in Plano, TX are:

What are popular job titles related to Associate Machine Learning Chemistry jobs in Plano, TX?

For Associate Machine Learning Chemistry jobs in Plano, TX, the most frequently searched job titles are:

What job categories do people searching Associate Machine Learning Chemistry jobs in Plano, TX look for?

The top searched job categories for Associate Machine Learning Chemistry jobs in Plano, TX are:

What cities near Plano, TX are hiring for Associate Machine Learning Chemistry jobs?

Cities near Plano, TX with the most Associate Machine Learning Chemistry job openings:

Infographic showing various Associate Machine Learning Chemistry job openings in Plano, TX as of August 2026, with employment types broken down into 6% Internship, 88% Full Time, and 6% Part Time. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $127,352 per year, or $61.2 per hour.

AI Engineer- Experienced Associate- Commercial Technology & Innovation

Pwc

Dallas, TX

$63K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago

New


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

26th of 72 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Data Science

Management Level

Associate

Job Description & Summary

The Opportunity
As an AI Engineer- Experienced Associate- Commercial Technology & Innovation, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients. Within our Advisory - Other practice, you will transform raw data into actionable insights, enabling informed decision-making and driving business growth. As an Associate, you will focus on learning and contributing to client engagement and projects while developing your skills and knowledge to deliver quality work. You will be exposed to clients to learn how to build meaningful client connections, manage and inspire others, and grow your personal brand by deepening your technical knowledge of firm services and technology resources.
In this role, you will apply data, algorithms, and software engineering to build and deploy software and platform systems that create Artificial Intelligence and Machine Learning-based solutions at scale. Your work will involve designing AI systems, data wrangling, and software implementation to enable the AI models to be useful and scalable. You will be expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope, using these experiences as opportunities to learn and grow.
Responsibilities
- Designing and implementing AI systems to transform raw data into actionable insights
- Developing and deploying machine learning models using Python and TensorFlow
- Building and maintaining data pipelines and infrastructure to support AI solutions
- Conducting complex data analysis to inform decision-making and drive business growth
- Integrating data from various sources to enhance data quality and model accuracy
- Utilizing programming languages such as C++ and Java for AI software development
- Applying natural language processing techniques for text analytics and sentiment analysis
- Collaborating with cross-functional teams to deliver scalable AI solutions
- Engaging in continuous learning to adapt to new technologies and methodologies
- Supporting client engagements by providing technical expertise in AI and machine learning
What You Must Have
- At least a Bachelor's degree
- At least 1 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems, Engineering
- At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials
- Excelling in AI implementation and complex data analysis
- Utilizing programming languages such as Python and C++
- Developing machine learning models using TensorFlow and Scikit-Learn
- Engaging in natural language processing and sentiment analysis
- Building data pipelines and confirming data quality

Travel Requirements

Up to 40%

Job Posting End Date

The salary range for this position is: $63,000 - $140,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

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