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Responsibilities: 1. To assist in the design of genomics experiments, 2. To develop and implement computational pipelines, 2. To analyze publically available and novel genomic datasets, including quality control and variant identification and annotation.
1. Candidates should have a Ph.D., M.D. or equivalent doctorate in a quantitative field such as statistical genetics, biostatistics, bioinformatics, computer science, or a related discipline.
2. Candidates should have proficiency in programming (e.g. Perl, Python or C/C++) and statistical computing (e.g. R).
3. Candidates should have a track record of scientific productivity and/or leadership.