Data Scientist IV

 
  • University of Florida
  • United States
  • Nov 23, 2022
Full Time - Continuing

Job Description:

Classification Title:

Data Scientist IV

Job Description:

The Department of Medicine, Division of Nephrology is seeking a full time Data Scientist IV. IC3 is multi-disciplinary center focused on developing and providing sustainable support and leadership for transformative medical AI research, education, and clinical applications to advance patients' health in critical and acute care medicine. The center addresses an unprecedented opportunity for world-leading ambient, immersive and artificial intelligence (AI2) research and innovation to transform the diagnosis, monitoring, and treatment for critically and acutely ill patients using the multimodal clinical and research data and resources stemming from UF Health (UFH), one of the Florida’s largest health care systems. We are seeking a motivated and well-qualified senior data scientist with extensive machine learning (ML) and deep learning (DL) experience to join the Intelligent Critical Care Center (IC3) at the University of Florida. The candidate will be highly involved in several ongoing and future research projects involving the development of multimodal data processing pipelines and machine learning prediction frameworks for a variety of patient-level clinical prediction applications. This is a multifaceted position integrating data processing, data analysis, and development and validation of ML/DL models for cutting-edge clinical AI research. Advanced Python and DL experience is required. The candidate will play a central role in the completion of high-impact healthcare AI applications and will work with teams of students, scientists, and faculty on a variety of novel research projects. The scope of projects and patient data is broad, and the successful candidate will have prior experience working with tabular data, time series, text, and images.

Essential Functions;

• Developing and validating supervised ML/DL models for predicting a variety of clinical outcomes from multimodal data inputs
• Implementing unsupervised ML/DL techniques for exploratory analysis, clustering, and phenotyping
• Developing self-supervised ML/DL techniques from patient data
• Developing and maintaining federated learning (FL) platforms
• Evaluating models and optimizing hyperparameters

• Integrating, filtering and extracting multivariate and multimodal clinical datasets for patient cohorts of interest from local databases and data warehouses
• Processing, validating, analyzing, and visualizing insights from heterogenous patient data
• Ensuring quality, consistency, and validity of large multimodal datasets
• Summarizing and visualizing results for inclusion in scientific publications
• Maintaining code and proper documentation

Expected Salary:

$78,900 - $106,400 Annually

Minimum Requirements:

A doctorate in a related field with two years of relevant experience in data science, statistics, bioinformatics, analytics, or similar field. A Master’s degree with three to five years of relevant experience.

Preferred Qualifications:

• PhD degree in computer science, statistics, biomedical engineering, or related field
• Experience with EHR datasets
• Experience with natural language processing (NLP)
• Experience with medical imaging or computer vision
• Experience with federated learning
• Familiarity with Linux command line

Special Instructions to Applicants:

"In order to be considered, you must upload your resume."

The University of Florida is committed to non-discrimination with respect to race, creed, color, religion, age, disability, sex, sexual orientation, gender identity and expression, marital status, national origin, political opinions or affiliations, genetic information and veteran status in all aspects of employment including recruitment, hiring, promotions, transfers, discipline, terminations, wage and salary administration, benefits, and training.

This is a time limited position.

This requisition has been reposted. Previous applicants are still under consideration and need not apply

Application must be submitted by 11:55 p.m. (ET) of the posting end date.

Health Assessment Required: No