The Staff Scientist, Bioinformatics will report to Associate Professor and Director of Genomics at The Scripps Translational Science Institute to provide practical, creative, and comprehensive solutions to cutting edge problems in human genetics and genomics. This role will work with a small team of computational and quantitative biologists on human genomics projects primarily focused on the detection of novel genetic associations and the use of genetic information in precision medicine initiatives.
Drive the design and development of complex analytical pipelines for a wide range of biological datasets, including (but not limited to) genomic and wearable health sensor data, with a particular emphasis on the former.
Independently develop new algorithms, techniques, and computational statistical methodologies to analyze datasets.
Establish, maintain, and analyze large databases of clinical and patient-generated health data as part of on-going and future research efforts.
Work collaboratively with a diverse and interdisciplinary team of physicians, computer scientists, behaviorists, and biostatisticians to address pressing biomedical questions and needs.
Develop and maintain computational infrastructure to support analytical needs.
Generate reports and visualizations to communicate findings to a wide audience.
Contribute to the development of new research efforts, studies, grants, and publications.
Perform other related duties as required or assigned.
San Diego, California
This position works in an office environment. Further details of the physical requirements of established essential functions for this position will be addressed/discussed during the interview process.
Requires a minimum of 1-3 years related bioinformatics experience.
Advanced skills in a high-level programming language, preferably Python, or R.
Experience with genomics software packages, QIIME, mothur, or related packages.
Up to 2 years of programming experience, preferably in a high performance computing setting.
Knowledge of the fundamentals of microbiome biology, including both the considerations for in vitro and in vivo studies, normalization, and contamination detection. Familiarity with statistical learning techniques, from regression to machine learning.
Experience with architecture and tools for managing large datasets - especially "omics" data.
Excellent communication, analytical and organizational skills, both written and verbal. Ability to work independently and as part of a team while being collaborative in resolving problems.
Excellent organizational skills, problem solving skills and attention to detail. Excellent oral and written communication skills.
Salary is commensurate with experience.
Job Closing Date:
Open Until Filled
Job Posting Category
Scientific & Technical
The Scripps Research Institute is an Equal Opportunity Employer. All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other legally protected characteristic or status.
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