Sr. Bioinformatics Analyst - Full-time - Miami, FL

University of Miami•Miami, FL

6d•Onsite

About The Position

The Department of Urology has an exciting opportunity for a full-time Senior Bioinformatics Analyst to work on-site in Miami. The Senior Bioinformatics Analyst works with research staff to extend capabilities in bioinformatics and improve understanding of genetic variation in human health and disease. The Senior Bioinformatics Analyst also assumes responsibility for the development and maintenance of novel bioinformatics methods. The Sharifi Laboratory is seeking a highly motivated Bioinformatics Analyst to support translational and mechanistic studies focused on prostate cancer progression, steroid metabolism, androgen signaling, therapeutic resistance, and biomarker discovery. The successful candidate will work closely with laboratory scientists and clinicians to analyze genomic, transcriptomic, epigenomic, metabolomic, and clinical datasets and contribute to high-impact cancer research.

Requirements

Bachelor’s degree in relevant field
Minimum 3 years of relevant experience
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.
Bachelor’s degree in relevant field required
Demonstrated experience analyzing metabolomics and next-generation sequencing data.
Strong programming skills in R and/or Python.
Proficiency with bioinformatics software and workflow frameworks.
Strong understanding of statistics and experimental design.
Ability to work independently and collaboratively within a multidisciplinary research environment.
Excellent written and verbal communication skills.

Nice To Haves

M.S. or Ph.D. preferred
Candidates with biochemistry and chemistry background is preferred.

Responsibilities

Develops and maintains next generation data analysis pipelines.
Assists in analysis pipeline and algorithms development and validation.
Extracts features of interest from data relating to specific biological questions.
Contributes to the development and maintenance of genomic and clinical databases.
Performs statistical and integrative data analysis on genomics and clinical data.
Supervises team members and other data analysts.
Establishes standard operating procedures, documentation, and scripts to generate custom reports.
Progresses material for bioinformatics tutorials and training courses.
Tests the characterization and integration of diverse third-party bioinformatics algorithms.
Adheres to University and unit-level policies and procedures and safeguards University assets.
Design, implement, and maintain computational workflows for analysis of high-throughput metabolomics, sequencing and multi-omic datasets.
Analyze spatial transcriptomics, proteomic, metabolomic, and clinical data.
Integrate molecular and clinical datasets to identify biomarkers associated with treatment response, disease progression, and patient outcomes.
Perform statistical analyses and develop reproducible pipelines using modern bioinformatics tools and programming languages.
Contribute to studies investigating androgen biosynthesis, steroid metabolism, androgen receptor signaling, and mechanisms of therapeutic resistance in prostate cancer.
Support analysis of patient-derived datasets, clinical cohorts, and public cancer genomics resources including TCGA, cBioPortal, GEO, dbGaP, and other consortium datasets.
Develop data visualization tools and generate publication-quality figures and reports.
Collaborate with laboratory investigators on experimental design, data interpretation, and manuscript preparation.
Maintain rigorous standards for reproducible research, version control, documentation, and data management.
Assist in preparation of grant applications, progress reports, and scientific presentations.