Bioinformatics Scientist | GenomeWeb

Bioinformatics Scientist

Sanford Burnham Prebys Medical Discovery Institute
Job Location
Orlando, FL 32827
Commensurate with experience and education

Full benefits (medical, dental, vision, retirement, vacation, sick time, paid holidays etc.)

Job Description

The Sanford Burnham Prebys Medical Discovery Institute at Lake Nona, Florida is seeking a full-time Bioinformatics scientist to analyze sequences and numerical data produced by a variety of genome-scale platforms, in particular next-generation DNA sequencing and DNA expression arrays.

Primary responsibilities will include 1) developing data analysis strategies, implementing algorithms, and deploying computational software for the exploration of high-dimensional data; 2) working with wet-lab scientists to facilitate statistical planning of the experiments, exploring novel data representation models with an emphasis on integrating diverse data types into biologically meaningful formats for analysis, interpretation and presentation; 3) participating in bioinformatics applications developments.


Requires a PhD in biological sciences, bioinformatics, computer science, engineering or mathematics, or a related field and a minimum of 3 years of postdoctoral training in bioinformatics, or an equivalent combination of education, training and experience from which comparable knowledge, skills and abilities have been attained. The ideal candidate should have two years of relevant recent experience with providing user support in a core/academic setting. Preference will be given to those candidates who have experience in clinical genomics and biomarker discovery related data analysis.

The candidate should have experience analyzing high-throughput genomic datasets derived from next-generation sequencing and expression array technologies, as well as thorough knowledge of the standard software packages used for these purposes. The knowledge of at least one programming language (C/C++, Perl, Python, or Ruby) and of at least one environment for high-dimensional data analysis (SAS, R/Bioconductor, or Matlab) is required.

Expertise in the analyzing high-dimensional data (-omics data) using machine learning/data mining techniques is preferred. Preference will be given to candidates who have high level understanding of both molecular biology, clinical genomics and cutting-edge genomic technologies with outstanding professional track records of collaborative investigation.

Sanford Burnham Prebys Medical Discovery Institute is an Equal Opportunity employer – M/F/Veteran/Disability. We are committed to the hiring, advancement and fair treatment of all individuals. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or any other protected status as designated by federal, state or local law.  For additional information about your rights as an applicant, click HERE.

Sanford Burnham Prebys Medical Discovery Institute endeavors to make its careers page accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact James DiStefano, Director, Human Resources at This information is for accommodation requests only and cannot be used to inquire about the status of applications.

About Our Organization

Sanford Burnham Prebys Medical Discovery Institute is dedicated to discovering the fundamental molecular causes of disease and devising the innovative therapies of tomorrow. SBP takes a unique, collaborative approach to medical research and has established major research programs in cancer, neurodegeneration, diabetes, and infectious, inflammatory, and childhood diseases. The Institute is especially known for its world-class capabilities in stem cell research and drug discovery technologies.

SBP is a U.S.-based, non-profit public benefit corporation, with operations in San Diego (La Jolla) and Orlando (Lake Nona) in Florida.

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