Post Doctoral Associate

University of Miami • Miami, FL

10d • Onsite

About The Position

The University of Miami/UHealth Department of SCCC has an exciting opportunity for a Full Time Post Doctoral Associate to work at the UHealth medical 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. 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. Department Specific Functions We are seeking a highly motivated Postdoctoral Research Fellow to join our research team. The two-year position (renewable, contingent on performance and funding) will work under the mentorship of Dr. Fei Ye on to conduct quantitative research on development and application of statistical/bioinformatic methodology to healthcare-derived data with a focus on cancer research. Applicants are asked to provide (i) a cover letter describing research interests, (ii) a CV, (iii) names/contact information for three references. Start date is flexible in 2025-2026. Salary and benefits are commensurate with NIH/NSF guidelines and institutional policy. 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. Click here for additional information.

Requirements

• Ph.D. in relevant field
• No previous experience required
• Skill in collecting, organizing, and analyzing data.
• Ability to recognize, analyze, and solve a variety of problems.
• Ability to exercise sound judgment in making critical decisions.
• PhD in biostatistics, statistics, bioinformatics, computational biology, or a closely related quantitative field awarded within the last five years.
• Strong foundation in statistical theory; ability to derive and clearly communicate methodological results.
• Advanced R and/or Python programming skills in statistical analysis, simulation, and computation.
• Demonstrated publication record in statistical methodology and applied biomedical research, with evidence of independent scientific writing.
• Experience analyzing multi‑omics datasets (e.g., genomics, transcriptomics, proteomics, metabolomics) for biomarker discovery and validation.

Nice To Haves

• Expertise in causal inference, machine learning, and Baysian methods.
• Proficiency in large-scale omics data analysis and relevant bioinformatics tools alongside integrative multi-omics pipelines.
• Extensive R/Python coding experience with proficiency in RStudio, RMarkdown, and common Bioconductor packages.
• Experience with Linux servers and computing cluster.
• Ability to clearly communicate complex statistical concepts and research projects to interdisciplinary teams, and present at conferences, workshops, and internal meetings

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.
• Assists Dr. Ye in designing research projects, including the formulation of hypotheses, the development of methodologies, and the submission of applications for grant funding.
• Conducts comprehensive statistical analyses.
• Implements bioinformatic pipelines and performs data analysis for omics studies, including genotype data, bulk and single-cell RNA sequencing data, high-dimensional phenotype data, pathway and functional analysis, network analysis, polygenic risk score derivation and validation, and other relevant analyses.
• Develops R or Python scripts for data analysis, statistical modeling, and machine learning techniques, ensuring reproducibility and efficiency.
• Implements and optimizes computing workflows using high-performance computing clusters.
• Prepare manuscripts, abstracts, and presentations, present findings at internal meetings and international conferences.

Benefits

• medical
• dental
• tuition remission

What This Job Offers

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