1

Image Data Scientist Jobs in Kansas (NOW HIRING)

... image of the cooperative. Completes special projects as assigned by area manager. ESSENTIAL ... Computer and data entry skills. * Ability to react to change productively and handle other ...

Grain Operations Manager

Sterling, KS · On-site

$60K - $80K/yr

... image of the cooperative. Completes special projects as assigned by area manager. ESSENTIAL ... Computer and data entry skills. * Ability to react to change productively and handle other ...

next page

Showing results 1-20

Image Data Scientist information

What is an image data scientist?

Image Data Scientists are professionals who specialize in analyzing, processing, and interpreting image data using advanced techniques such as machine learning, computer vision, and statistical analysis. They work with large datasets of images to extract meaningful insights, develop algorithms for image recognition or classification, and help solve real-world problems in fields like healthcare, autonomous vehicles, and e-commerce. Their role often involves cleaning and labeling image data, building predictive models, and collaborating with software engineers and domain experts to deploy solutions.

What are some common challenges faced by image data scientists when working with large-scale image datasets?

Image Data Scientists often encounter challenges related to managing and processing large volumes of image data, such as ensuring data quality, dealing with imbalanced classes, and handling high computational demands. Efficient data labeling and preprocessing are crucial, as poor annotation can impact model accuracy. Additionally, collaborating closely with engineers and domain experts is key to setting up robust data pipelines and validating model outputs in practical applications.

What are the key skills and qualifications needed to thrive as an image data scientist, and why are they important?

To thrive as an Image Data Scientist, you need expertise in computer vision, machine learning, statistics, and a strong background in mathematics or a related field, often supported by an advanced degree. Proficiency with programming languages like Python, deep learning frameworks (such as TensorFlow or PyTorch), and image processing libraries is typically required. Strong analytical thinking, creativity, and effective communication are essential soft skills for interpreting results and collaborating with multidisciplinary teams. These skills enable the development of accurate image analysis solutions, drive innovation, and ensure the successful implementation of models in real-world applications.

What is the difference between Image Data Scientist vs Computer Vision Engineer?

AspectImage Data ScientistComputer Vision Engineer
Required CredentialsBachelor's/Master's in Data Science, Computer Science, or related fields; knowledge of machine learning and image processingBachelor's/Master's in Computer Science, Electrical Engineering, or related fields; expertise in computer vision algorithms and software development
Work EnvironmentData analysis teams, research labs, AI-focused companiesSoftware development teams, robotics, autonomous vehicles, tech companies
Employer & Industry UsageTech firms, healthcare, retail, research institutionsAutonomous vehicles, robotics, surveillance, augmented reality

While both roles involve working with images and machine learning, an Image Data Scientist primarily focuses on analyzing and interpreting image data to extract insights, often working with large datasets and statistical models. In contrast, a Computer Vision Engineer develops algorithms and software to enable machines to interpret visual information, often involving real-time processing and deployment in applications like autonomous vehicles or AR systems.

Infographic showing various Image Data Scientist job openings in Kansas as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, 1% Temporary, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

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 7 days ago


Job description

Department:SOM Department of Biostatistics

-----

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