Post Doctoral Associate

University of Miami • Miami, FL

55d • Onsite

About The Position

The University of Miami/UHealth Department of SCCC Public Health Science has an exciting opportunity for a Full Time Post Doctoral Associate to work at the UHealth campus in Miami, Fl. CORE JOB SUMMARY 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.

Requirements

• Doctorate degree Medicine (MD) required
• 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.
• Educational Background: Ph.D. in bioinformatics, computational biology, computer science, or a related field.
• Technical Skills: Proficiency in programming languages such as Python, R, and MATLAB. Experience with machine learning frameworks and bioinformatics tools.
• Research Experience: Strong background in computational modeling, cancer genomics, and high-throughput data analysis.
• Communication Skills: Excellent written and verbal communication skills for effective collaboration and dissemination of research findings.

Responsibilities

• 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.
• Develop and apply AI and machine learning models to analyze large-scale cancer datasets, including genomics, transcriptomics, and proteomics data.
• Integrate multi-modal data (e.g., single-cell RNA sequencing, spatial omics) to uncover new insights into cancer biology and therapy.
• Create and refine algorithms for predictive modeling, biomarker discovery, and patient stratification.
• Work closely with clinical and translational scientists to translate computational findings into clinical applications.
• Publish research findings in high-impact journals and present at scientific conferences.

Benefits

• competitive salaries
• comprehensive benefits package including medical, dental, tuition remission and more.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Industry: Educational Services
• Education Level: Ph.D. or professional degree
• Number of Employees: 5,001-10,000 employees