drjobs Data Scientist II - Quality & Patient Safety Initiative (QPSi)

Data Scientist II - Quality & Patient Safety Initiative (QPSi)

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Job Location drjobs

Gainesville, FL - USA

Yearly Salary drjobs

$ 75000 - 85000

Vacancy

1 Vacancy

Job Description

Classification Title:

Data Scientist II

Classification Minimum Requirements:

A Bachelors Degree in data science statistics bioinformatics analytics or similar field and three years of experience; Masters Degree in data science statistics bioinformatics analytics or similar field and one year of experience; Doctoral Degree in data science statistics bioinformatics analytics or similar field.

Job Description:

The Quality and Patient Safety initiative (QPSi) under the UF College of Medicine (COM) is seeking a Data Scientist II to help improve quality and patient safety using Artificial Intelligence (AI) and advanced data analytics. The data scientist will collaborate with interdisciplinary teams and numerous stakeholders to create innovative approaches to improve patient safety and health care operation pathways. The position will participate in designing and developing algorithms to model complex systems meeting with end-users and key stakeholders to understand operational questions to be addressed and working with other team members to support development of AI models and their impact in clinical setting.

Leveraging expertise in statistical analysis machine learning novel artificial intelligence methods and programming the incumbent will drive data-centric solutions to enhance health care outcomes. Strong interpersonal and communication skills are essential along with the ability to independently select appropriate methods and techniques to deliver impactful results for quality improvement initiatives.

About This Role:

Data Science and Model Development

  • Collaborate with clinical teams to design data-driven decision-making models and translate decision points into available clinical data by understanding how to measure improvements in quality and patient safety.
  • Develop novel process mining techniques including but not limited to sequence analysis soft clustering temporal data analysis and graph neural network predictions to answer clients questions related to patient safety and patient healthcare pathways.
  • Research pilot and recommend solutions for extracting and visualizing clinical processes from rich healthcare data.
  • Develop train tune and evaluate highly performant machine learning and AI models (including graph approaches natural language processing and other advanced techniques) to address quality improvement and patient safety challenges in a hospital setting with a focus on handling complex and sensitive healthcare data such as electronic health records (EHRs).
  • Develop innovative approaches to integrate different data modalities (e.g. processes sequences text) into models.
  • Assist with integration of developed models into production environment.

Enhancement of Data and Model Infrastructure

  • Assist in development of streamlined pipelines from data gathering to data analysis and visual representation to deployment of models in clinical settings ensuring continuous integration and delivery (CI/CD) automated testing monitoring and model retraining.
  • Contribute code to standard AI and machine learning pipelines ensuring reproducibility and efficient collaboration across the team.
  • Facilitate extracting clinically relevant features from raw data to match needs of each healthcare scenario.
  • Develop process-driven and sequence-driven features for classification and other types of AI models. Contribute to designing and implementing feature extraction workflows including handling missing data categorical encoding and creation of derived variables.
  • Investigate and adapt existing programming libraries for visual representation of detected changes in clinical workflows and patient outcomes.
  • Participate in data quality evaluation and defining standards for data quality checks with special focus on understanding nuisances of healthcare data.

Project Management

  • Assist with the organization and coordination of projects including internship projects.
  • Collaborate with key stakeholders and interdisciplinary teams to understand user needs; draft initial proposals and assess feasibility.
  • Develop technical documentation.

Knowledge Dissemination

  • Create comprehensive reports and documentation summarizing the project status summary recommendations and final outcomes.
  • Train QPSi AI/QI team healthcare professionals and stakeholders in process mining and other cutting-edge approaches and capabilities.
  • Collaborate with teams and subject matter experts to prepare technical and non-technical presentations analyses and reports for leadership program design reviews and operational readiness reviews to share knowledge and promote partnership.
  • Participate in the development of educational resources and training materials on AI process mining and data science best practices for a wide range of healthcare professionals.

About COMs Quality and Patient Safety Initiative (QPSi):

The UF College of Medicines Quality and Patient Safety Initiative (QPSi) is dedicated to enhancing patient care quality and safety through innovative research education and collaboration. This initiative focuses on implementing evidence-based practices advancing patient safety initiatives and fostering a culture of continuous improvement within the College of Medicine.

QPSis mission is to drive excellence in healthcare delivery by integrating clinical expertise data-driven insights and cutting-edge technology. The initiative engages healthcare professionals students and stakeholders in efforts to elevate patient care standards and outcomes.

For more information about the Quality and Patient Safety Initiative visit UF College of Medicines QPSi.

We Offer Exceptional Benefits:

  • Low-cost State Health Plans: Medical Dental and Vision Insurance
  • Life and Disability Insurance
  • Generous Retirement Options to secure your future
  • Comprehensive Paid Time Off Packages:(includes over 10 paid holidays as well as paid family sick and vacation leave)
  • Exceptional Personal and Professional Development Opportunities: Access to UF Training & Organizational Development programs leadership development LinkedIn Learning and more
  • Tuition Assistancethrough theUF Employee Education Program
  • Public Service Loan Forgiveness (PSLF) Eligible Employer

About Gainesville Florida:

Home to the University of Florida one of the nations top public universities Gainesville offers vibrant academic and healthcare communities alongside an affordable cost of living no state income tax and mild winters. Enjoy the outdoors with over 30 miles of bike trails freshwater springs and numerous water activities plus easy access to beaches and world-class theme parks.

Gainesville combines historic charm with modern amenities including a great school system a lively downtown and a thriving local culture with farmers markets and craft breweries. Discover professional growth and quality of life in Gainesvillewhere community innovation and work-life balance meet!

For more information check out:The Guide to Greater GainesvilleandExplore Gainesville in 60 seconds

Expected Salary:

$75000 - $85000 annually; commensurate with education and experience.

Required Qualifications:

A Bachelors Degree in data science statistics bioinformatics analytics or similar field and three years of experience; Masters Degree in data science statistics bioinformatics analytics or similar field and one year of experience; Doctoral Degree in data science statistics bioinformatics analytics or similar field.

Preferred:

The ideal candidate will possess:

  • Masters degree in computer science information technology or similar discipline and one year of relevant experience.
  • Expertise in Python or R programming.
  • Experience with artificial intelligence frameworks such as graph approaches large language models generative AI sequence analysis and probabilistic Markov modeling.
  • Experience with data engineering and data analytics.
  • Quantitative and qualitative data analysis skills with the ability to synthesize aggregate data for reporting.
  • Hands-on experience with healthcare data management and analytics.
  • Excellent understanding of software engineering principles and experience in their application.
  • Excellent communication skills with both technical and non-technical audiences.
  • Highly resourceful team-player with the ability to be extremely independent interact professionally and utilize effective organizational skills.
  • Forward-thinking mentality actively seeking opportunities and proposing creative solutions with strong decision-making capability.
  • Demonstrated ability to collaborate across disciplines.
  • Experience working on projects with physicians and clinical staff.
Special Instructions to Applicants:

To be considered please upload the following documents with your application:

  • Cover Letter
  • Resume
  • Contact information for three professional references

If an accommodation due to a disability is needed to apply for this position please call or the Florida Relay System at (TDD).

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

Health Assessment Required:No

Employment Type

Full-Time

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