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Associate Artificial Intelligence Machine Learning Jobs in Lawrence, KS

Aerotek

Metal Machine Operator

Olathe, KS

$20 - $22/hr

You will have a direct path to learning fabrication techniques and eventually operating CNC ... Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of ...

Aerotek

Machine Operator

New Century, KS

$20/hr

Machine Operator - $20/hr | Hiring Immediately Job Overview We are looking for a Machine Operator ... Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of ...

New

Aerotek

Machine Operator

New Century, KS

$20/hr

Machine Operator - $20/hr | Hiring Immediately Job Overview We are looking for a Machine Operator ... Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of ...

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All JobsAssociate Artificial Intelligence Machine Learning JobsAssociate Artificial Intelligence Machine Learning Jobs in Lawrence, KS

Associate Artificial Intelligence Machine Learning information

See Lawrence, KS salary details

$29.7K

$125.5K

$296.6K

How much do associate artificial intelligence machine learning jobs pay per year?

As of Aug 30, 2026, the average yearly pay for associate artificial intelligence machine learning in Lawrence, KS is $125,485.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,400.00 and $190,500.00 per year, depending on experience, location, and employer.

What does an Associate Artificial Intelligence Machine Learning professional do?

An Associate Artificial Intelligence Machine Learning (AI/ML) professional assists with the development, testing, and deployment of AI and machine learning models. They typically work under the supervision of senior data scientists or machine learning engineers, helping to preprocess data, select algorithms, and evaluate model performance. Their responsibilities may also include writing code, analyzing results, and supporting the integration of models into applications or systems. This entry-level role is ideal for those who have foundational knowledge in AI/ML concepts and are looking to gain practical, hands-on experience in the field.

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

To thrive as an Associate Artificial Intelligence Machine Learning professional, you need a solid background in mathematics, statistics, and computer science, typically with a relevant degree and familiarity with machine learning concepts. Proficiency in programming languages like Python or R, experience with frameworks such as TensorFlow or PyTorch, and knowledge of version control systems are commonly required. Strong problem-solving, analytical thinking, and effective communication skills help differentiate top performers in this role. These skills are crucial for developing accurate models, collaborating with multidisciplinary teams, and driving impactful AI solutions.

What are some common challenges faced by Associate Artificial Intelligence Machine Learning professionals in their first year, and how can they overcome them?

Associate AI/ML professionals often encounter challenges such as understanding complex datasets, adapting to rapidly evolving tools and frameworks, and bridging the gap between theoretical knowledge and practical application. Collaborating closely with senior team members, seeking mentorship, and participating in code reviews are effective ways to overcome these challenges. Additionally, staying updated with industry trends and continuously practicing model building on real-world problems can help associates gain confidence and accelerate their learning curve.

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

AspectAssociate Artificial Intelligence Machine LearningData Scientist
Required CredentialsBachelor's in CS, AI, or related; certifications in ML/AIBachelor's/Master's in CS, Statistics, or related; often advanced degrees
Work EnvironmentTech companies, R&D labs, startupsData-driven organizations, consulting firms, tech companies
Employer & Industry UsageAI/ML teams, product developmentData analysis, predictive modeling, business insights
Common Search & ComparisonYesYes

Associate Artificial Intelligence Machine Learning roles focus on developing and implementing AI/ML models, often with entry-level responsibilities. Data Scientists analyze data to extract insights, build predictive models, and support decision-making. While both roles require knowledge of programming and statistics, Data Scientists typically have more advanced degrees and focus on data analysis, whereas Associate AI/ML roles are more specialized in AI/ML model development.

What job categories do people searching Associate Artificial Intelligence Machine Learning jobs in Lawrence, KS look for?

The top searched job categories for Associate Artificial Intelligence Machine Learning jobs in Lawrence, KS are:

Associate Artificial Intelligence Machine Learning jobs near you
Infographic showing various Associate Artificial Intelligence Machine Learning job openings in Lawrence, KS as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 25% Part Time, 1% Temporary, and 1% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $125,485 per year, or $60.3 per hour.

Assistant/Associate Professor - Biostatistics & Data Science (AI Focus)

KUMC University of Kansas Medical Center

Kansas City, KS

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago

Job description

Department:SOM Department of Biostatistics

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FacultyPosition Title:Assistant/Associate Professor - Biostatistics & Data Science (AI Focus)Job Family Group: AcademicJob Description Summary:The Department of Biostatistics & Data Science at the University of Kansas Medical Center (KUMC) is partnering with The University of Kansas Cancer Center (KUCC) to invite applications for a tenure-track faculty position in Statistical Artificial Intelligence (AI) and Biomedical Data Science. The incumbent will establish and maintain external funding while collaborating with investigators across KUMC's nationally recognized research centers and institutes. The incumbent will join a collaborative department with internationally recognized expertise in biostatistics, statistical omics, bioinformatics, Bayesian methodology, clinical trials, and data science, and will have opportunities to collaborate with investigators across the University of Kansas Cancer Center, Kansas Institute for Precision Medicine, Frontiers Clinical and Translational Science Institute, the Alzheimer's Disease Research Center and the newly established Enhanced Artificial Intelligence Center for Human-Focused Research. In addition to developing an innovative research program, the faculty member will contribute to the Department's educational mission through excellence in teaching and mentoring graduate students in biostatistics, data science, and related disciplines.Job Description:

Job Duties

  • Develop and maintain external funding in statistical artificial intelligence and biomedical data science.

  • Develop novel statistical and AI methodologies motivated by important biomedical problems.

  • Collaborate with KUCC investigators, as well as investigators across KUMC's research centers and institutes.

  • Teach graduate courses in biostatistics, statistics, artificial intelligence, machine learning, and data science.

  • Participate in the mentoring of graduate students, postdoctoral fellows, and staff.

  • Participate in departmental, institutional, and professional service activities.

  • Contribute to strategic initiatives involving the Enhanced Artificial Intelligence Center for Human-Focused Research and other interdisciplinary programs across KUMC.

This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. It is only a summary of the typical functions of the job, not an exhaustive list of all possible job responsibilities, tasks, duties, and assignments. Furthermore, job duties, responsibilities and activities may change at any time with or without notice.

Required Qualifications

Education: PhD in Biomedical Informatics, Computer Science, Biostatistics, Statistics, Data Science, or related field.

This position requires a formal degree in the cited discipline area(s) to ensure that candidates have the foundational knowledge and skill set required to perform the duties of the position. The level of degree is based on accreditation requirements, institutional standards of academic and professional excellence, alignment with peer institution benchmarks, and contributes to the credibility and effectiveness of the role within the university community.

Work Experience:

  • Experience with artificial intelligence, machine learning, or statistical learning.

  • Experience developing or applying statistically principled AI methodologies.

  • Experience with interdisciplinary collaboration in biomedical research.

Preferred Qualifications

Work Experience:

  • Teaching experience in statistics, biostatistics, machine learning, artificial intelligence, or data science.

  • Research collaboration experience in cancer, obesity/metabolic disease, or precision medicine.

  • Experience with one or more of the following: medical image analysis, computational pathology, multi-omics integration, electronic health record analysis, Spatial 'omics, Reinforcement learning for healthcare, explainable AI, machine/deep learning, Bayesian machine learning, or causal AI.

Skills

  • Communication skills

Required Documents

  • Resume/CV

  • Cover Letter

If selected as a final candidate for this position, you may be required to complete the Association of American of Universities Representations and Warranties document and sign a release of records that will allow the University of Kansas Medical Center to conduct a further background check with former employers. A copy of the Representations and Warranties document can be found here.

Comprehensive Benefits Package:

Coverage begins on day one for health, dental, and vision insurance and includes health expense accounts with generous employer contributions if the employee participates in a qualifying health plan. Employer-paid life insurance, long-term disability insurance, and various additional voluntary insurance plans are available. Paid time off, including vacation and sick, begins accruing upon hire, plus ten paid holidays. One paid discretionary day is available after six months of employment, and paid time off for bereavement, jury duty, military service, and parental leave is available after 12 months of employment. A retirement program with a generous employer contribution and additional voluntary retirement programs (457 or 403b) are available. https://www.kumc.edu/human-resources/benefits.html

Employee Type: RegularTime Type: Full time

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