Postdoctoral Associate (Public Health Sciences)

University of Miami • Miami, FL

13h • 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. We are seeking a highly motivated Postdoctoral Associate to join our bioinformatics research lab. The successful candidate will work at the intersection of computational biology, Genomics, machine learning, and data science, contributing to the development and evaluation of advanced algorithms for analyzing large-scale biological datasets. This role is ideal for candidates with a strong computer science background, such as algorithms, machine learning and data science.

Requirements

• Ph.D in Computer Science, Bioinformatics, Computational Biology, Data Science, or a related field
• Strong programming skills in Python, R
• Solid understanding of: Machine learning fundamentals Deep learning architecture (e.g., CNNs, RNNs, Transformers) Optimization and model evaluation
• Knowledge in biology and genomics
• Experience working with large datasets and numerical computing libraries (NumPy, Pandas, SciPy)
• Familiarity with Linux environments, version control (Git), cloud computing.

Nice To Haves

• Prior experience in bioinformatics or computational biology
• Experience with one or more of the following: Single-cell or spatial omics analysis DNA Methylation analysis Graph neural networks Generative models (VAEs, diffusion models) Multi-modal learning
• Knowledge of bioinformatics tools and data formats (FASTQ, BAM, VCF, H5AD, AnnData, Seurat, etc.).
• Experience with HPC clusters , cloud computing, or GPU acceleration.
• Strong mathematical background in linear algebra, probability, and statistics.
• Prior research experience with publications or preprints.

Responsibilities

• Develop, implement, and evaluate machine learning and deep learning models for biological data analysis
• Work with large-scale datasets such as: Genomics / transcriptomics (bulk, single-cell, spatial) Epigenomics, proteomics, or multi-omics data
• Design data preprocessing, feature engineering pipelines.
• Implement models in Python using frameworks such as PyTorch , TensorFlow .
• Perform statistical analyses and model benchmarking against existing methods.
• Collaborate with wet-lab scientists and domain experts to interpret results.
• Contribute to manuscripts , conference abstracts , and presentations.

Benefits

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

What This Job Offers

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