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Research InformaticsDesign, implement, and maintain infrastructure to create a data warehouse for legacy CoPath data.
Support the creation of a system for efficiently identifying relevant slides for research.
Use appropriate technologies to facilitate the digitization and retrieval of slides for research.
Develop robust data pipelines for ingesting, processing, and managing data for the Department of Pathology, ensuring scalability, reliability, and efficiency.
Implement quality assurance processes to validate the accuracy, completeness, and integrity of pathology data, identifying and resolving issues as needed.
Develop tools and APIs for accessing and retrieving pathology data in response to user requests, ensuring timely and efficient delivery of data to analysts, researchers, and clinicians.
Develop statistical or machine learning models to categorize disease, predict patient outcomes, identify biomarkers, and other applications.
Evaluate model behavior and robustness and maximize model performance and generalizability.
Optimize data processing and retrieval workflows to minimize latency and maximize throughput, leveraging parallel processing, caching, and other optimization techniques.
Collaborate closely with pathologists, data scientists, software engineers, and other stakeholders to understand requirements, prioritize tasks, and ensure alignment with organizational goals.
Document workflows, procedures, and best practices.
Ensure compliance with relevant regulatory requirements (e.g., HIPAA).
Work Environment
Work is normally performed in a typical interior work environment which does not usually subject the employee to any unpleasant elements.
Required Qualifications
Education: BS and/or MS in a quantitative science-related field (e.g., data science, biomedical informatics, clinical informatics, machine learning, biostatistics, etc.)
Work Experience:
Proven experience in data engineering, with a focus on managing and processing large-scale imaging data, preferably in the healthcare or life sciences domain.
Experience in machine learning techniques, ideally with published work and/or code available. Experience with deep learning frameworks is preferred (e.g.,, Tensorflow or PyTorch).
Experience with programming and statistical software experience in Python and/or R
Preferred Qualifications
Work Experience:
Experience with computational pathology, large vision models (CNNs, vision transformers), multi-GPU multi-node training, and federated learning strongly encouraged.
Experience working with cloud platforms.
Experience with high performance computing.
Publication track record including conference papers and preprints.
Skills: Strong communication and presentation skills
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 Documents:
Resume/CV
Cover Letter
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
Compensation Statement:
The pay range listed for this position is determined by our compensation program using market data and salary benchmarking. A combination of factors is considered in making compensation decisions including, but not limited to, education, experience and training, qualifications relative to the requirements of the position, and funding. At the University of Kansas Medical Center, a reasonable estimate for the starting pay range will be the minimum to midpoint of the posted range, taking into account the combination of factors listed above.
Minimum
$83,000.00Midpoint
$107,000.00Maximum
$131,000.00