Lead Bioinformatics Scientist
1 week ago
We are seeking a highly skilled Lead Bioinformatics Scientist to join our team at the Cleveland Clinic Florida Research and Innovation Center. The successful candidate will be responsible for leading the design and implementation of novel computational methods to analyze genomic data sets, implementing statistical models, and contributing to research studies focusing on infectious disease and immuno-oncology.
About UsCleveland Clinic is one of the world's largest and busiest health centers, committed to delivering high-quality programs of patient care, research, and education. Our researchers are at the forefront of biological discovery, with a focus on cancer, cardiovascular and metabolic diseases, brain and eye diseases, and diseases of inflammation and immune systems.
We have recently opened the Cleveland Clinic Florida Research and Innovation Center (FRIC), dedicated to the discovery and advancement of innovative translational research, focused on immuno-oncology and infectious diseases. The building features state-of-the-art Shared Resource Laboratories in Flow Cytometry, Imaging, Bioinformatics, and a Vivarium.
Responsibilities- Communicate with faculty members, postdocs, and researchers to understand and evaluate their biological questions and computational needs.
- Support diverse bioinformatics analyses such as single-cell RNA-seq, bulk RNA-seq, ChIP-seq, methyl-seq, spatial transcriptomics, etc.
- Develop methods, novel algorithms, and/or high-level data analysis pipelines that integrate implementation, visualization, and database management of multi-dimensional biological datasets.
- Provide researchers with computational data, figures, methods, documentation, and overall bioinformatics support to meet project goals and publications.
- Ph.D. in computer science/statistics/software engineering/bioinformatics or related field.
- Minimum 3 years of related experience working with statistical modeling, machine learning, or complex data analysis.
- Strong quantitative and computational background with extensive experience in genomics/transcriptomics.
- Proficient in R, Python, git, UNIX, and other scientific workflow tools.
$120,000 - $180,000 per annum, depending on experience.
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