Job Description

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The University of Miami, Bascom Palmer Eye Institute, has an exciting opportunity for a full time Post Doctoral Associate in Miami, Florida. The Post Doctoral Associate performs scientific research and studies under the supervision of managing staff. Moreover, the Post Doctoral Associate promotes institutional recognition through literal contributions to the scientific community.

CORE JOB FUNCTIONS

• Conducts research on specific areas of study as assigned.
• Prepares research reports and technical papers for publishing.
• Investigates the feasibility of applying a wide variety of scientific principles and theories.
• Maintains substantial knowledge of state-of-the-art principles and theories.
• Develops advanced analytical models and systems and provides solutions and analyses to support strategic and tactical decisions.
• Adheres to University and unit-level policies and procedures and safeguards University assets.

This list of duties and responsibilities is not intended to be all-inclusive and may be expanded to include other duties or responsibilities as necessary.

CORE QUALIFICATIONS

Education: Doctorate degree Medicine (MD) required

Experience: No previous experience required

Certification and Licensing: Refer to department description for applicable certification requirements

Knowledge, Skills and Abilities:

• Learning Agility: Ability to learn new procedures, technologies, and protocols, and adapt to changing priorities and work demands.
• Teamwork: Ability to work collaboratively with others and contribute to a team environment.
• Technical Proficiency: Skilled in using office software, technology, and relevant computer applications.
• Communication: Strong and clear written and verbal communication skills for interacting with colleagues and stakeholders.

Department Specifics:

• Develop various machine learning and data mining models including convolutional neural networks (CNNs), Transformers, large language models (LLMs), and Vision Language Models (VLMs)
• Develop Retrieval Augmented Generation (RAG) models
• Developing manifold learning (e.g., tSNE and UMAP), unsupervised clustering
• Analyze electronics health record (EHR) data and retinal imaging including fundus photographs, optical coherence tomography (OCT) images and genetic data for automated screening, diagnosis, prognosis, and monitoring of major eye diseases such as glaucoma, macular degeneration, and uveitis.
• Programming in Python and R languages with knowledge of Google Tensorflow, PyTorch, scikit-learn, and Keras or other related deep learning libraries.
• Genetic data analysis

This is a core job profile description and is not reflective of all duties that may be assigned to a specific position in each individual department. The above statements are intended to describe the general nature and primary responsibilities of this core job profile. Specific duties and tasks may vary based upon departmental needs. Other duties may be assigned to the above consistent with the knowledge, skills, and abilities required for the job.

The University of Miami offers competitive salaries and a comprehensive benefits package including medical, dental, tuition remission and more.

UHealth-University of Miami Health System, South Florida's only university-based health system, provides leading-edge patient care powered by the ground breaking research and medical education at the Miller School of Medicine. As an academic medical center, we are proud to serve South Florida, Latin America and the Caribbean. Our physicians represent more than 100 specialties and sub-specialties, and have more than one million patient encounters each year. Our tradition of excellence has earned worldwide recognition for outstanding teaching, research and patient care. We're the challenge you've been looking for.

The University of Miami is an Equal Opportunity Employer - Females/Minorities/Protected Veterans/Individuals with Disabilities are encouraged to apply. Applicants and employees are protected from discrimination based on certain categories protected by Federal law.

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