Cleveland Clinic Florida Research and Innovation Center (FRIC) is seeking a Bioinformatician who can be part of a dynamic and rapidly growing organization. The candidate will lead be responsible for the design and implementation of novel computational methods to analyze genomic data sets, implement statistical models, and contribute to research studies focusing on infectious disease and immuno-oncology. Ideally, the candidate will serve as an expert resource for the implementation, management, and improvement of bioinformatics projects at FRIC.

As one of the worlds largest and busiest health centers, Cleveland Clinic is committed to delivering high quality programs of patient care, research, and education. Cleveland Clinics Lerner Research Institute (LRI) researchers are at the forefront of biological discovery with research related to cancer, cardiovascular and metabolic diseases, brain and eye diseases, and diseases of inflammation and immune systems. With more than 1,500 researchers and support personnel in 190 laboratories across 11 departments and multiple centers, the Lerner Research Institute is one of the largest research institutes in the nation, consistently ranking in the top 10 in National Institutes of Health funding, a benchmark of research success. In addition, Cleveland Clinic and IBM have a partnership to establish the Discovery Accelerator to advance discovery in healthcare and life sciences using a variety of computing technologies, including quantum computing.

Additionally, the Lerner Research Institute has recently opened Cleveland Clinic Florida Research and Innovation Center (FRIC) which is dedicated to the discovery and advancement of innovative translational research, focused on immuno-oncology and infectious diseases. The building is 3 floors with approximately 100,000 sq. ft. of dedicated research and support spaces. The FRIC is developing state of the art Shared Resource Laboratories in Flow Cytometry, Imaging, Bioinformatics, and a Vivarium.

As a Bioinformatician, your responsibilities will be to:

Communicate with faculty members, postdocs and researchers to understand and evaluate their biological questions and computational needs to effectively provide consultation for a wide array of genomics studies.

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 integrates 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.

Support analysis needs of multiple research projects form different laboratories simultaneously.

Serve as a subject matter expert to provide training, mentoring and instruction to researchers on bioinformatics resources and data analysis.

Utilize methods in the areas of Artificial Intelligence (AL), Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP) to design and implement data solutions.

Build complex predictive models, mix models, attribution models and other mathematical or statistical models as needed by using modeling tools.

Stay up to date with cutting edge data analysis methods and publications in bioinformatics, genomics, and statistics.

Develop service-related charge infrastructure for researchers utilizing bioinformatics services.

Qualifications Education

Ph.D. in computer science/statistics/software engineering/bioinformatics or related field.

Work Experience

Must possess a minimum of 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

Use of bioinformatics computations in high-performance compute clusters and bash scripting, and pipeline development and implementation.

Proficient in R, Python, git, UNIX and other scientific workflow tools

Physical Requirements

Ability to perform work in a stationary position for extended periods

Ability to operate a computer and other office equipment

Ability to communicate and exchange accurate information