Data Scientist - Research Administration

University of Kansas Medical Center; Kansas City (KS); Hybrid; USD 83,000 - 131,000; Full time

Job summary

The University of Kansas Medical Center is seeking a Data Scientist for Research Informatics, focusing on managing and optimizing pathology data processes using data science methodologies. The role involves collaboration with a dynamic team, leveraging advanced technologies to contribute to significant research breakthroughs.

Benefits

Health, dental, and vision insurance

Paid time off including vacation and sick leave

Retirement program with employer contributions

Qualifications

• Experience in data engineering with large-scale imaging data.
• Proven experience using machine learning techniques.
• Strong communication and presentation skills.

Responsibilities

• Design and maintain data warehouse infrastructure for legacy CoPath data.
• Develop tools for data retrieval and quality assurance processes.
• Collaborate with pathologists and stakeholders to align on project goals.

Skills

Data Management

Machine Learning

Statistical Analysis

Data Engineering

Strong Communication

Education

BS and/or MS in a quantitative science-related field

Tools

Python

R

TensorFlow

PyTorch

Job description

Data Scientist - Research Administration page is loaded

Data Scientist - Research Administration

Apply locations Kansas City Metro Area time type Full time posted on Posted 10 Days Ago job requisition id JR008695

Department:

Research Informatics

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Research Informatics

Position Title:

Data Scientist - Research Administration

Job Family Group:

Professional Staff

Job Description Summary:

This position will be in Research Informatics (The Office of the Chief Research Informatics Officer) at the University of Kansas Medical Center, Kansas City, KS, USA. Research Informatics creates, maintains, and facilitates the use of technology to enable research, helping researchers to manage, process, and analyze their data. We use advanced data science methodologies on large-scale health data to push forward precision medicine. The University of Kansas Medical Center is inviting applications for a Data Scientist position to support the Department of Pathology. This will be a hybrid position requiring both data science and data engineering skills. The successful candidate will play a critical role in advancing research for the Department of Pathology, by managing and optimizing the digitization process for pathology data, leveraging technologies like OpenSlide, facilitating the transition from the pathology information system CoPath, by ensuring continued access to legacy data for research. Additionally, the Data Scientist will support analysis and modeling for the Department of Pathology using a combination of statistics and machine learning. The Data Scientist will join a dynamic team of pathologists, data scientists, informaticians, and clinicians and participate in unique opportunities to apply their skills to contribute to important scientific breakthroughs and to directly impact patients’ lives in a clinical setting.

Job Description:

Key Roles and Responsibilities

• Design, 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).

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.

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

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

Employee Type:

Regular

Time Type:

Full time

Rate Type:

Salary

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.

Pay Range:

$83,000.00 - $131,000.00

Minimum

$83,000.00

Midpoint

$107,000.00

Maximum

$131,000.00

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The mission of the University of Kansas Medical Center is to improve lives and communities in Kansas and beyond through innovation in education, research, and health care.

Equal Employment Opportunity Statement

The University of Kansas Medical Center is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, ethnicity, ancestry, age, protected veteran or disability status, marital status, parental status, or genetic information.

Nondiscrimination, Equal Opportunity, and Affirmative Action Policy

Under Kansas state law, certain KUMC positions are subject to disability preference. For positions subject to this requirement, KUMC will offer an interview to a person who has applied for an open position who is qualified, with or without reasonable accommodation, to meet the performance standards of the position and who has presented acceptable proof of disability. If the position you apply for is subject to the disability preference requirement, you will be asked to provide information in support of your request for disability preference when you complete the application for employment.