This person will independently lead and conduct bioinformatics and genomic research, and provide her/his expertise to lab members in the collection, management, interpretation, and analysis on biological, pathological, and molecular pathological data, with a focus on, but not limited to, high-throughput technologies with strong emphasis on next-generation sequencing. The main responsibility of this position is on the application of state-of-art bioinformatics technologies to analyze and integrate large scale omics datasets. Require familiarity with existing genomic databases such as, but not limited to, TCGA, ENCODE, CCLE, etc. Proficiency in programming using either R/Perl/Python/Java/C++ is a must. Solid knowledge of biostatistics and strong quantitative skills are also required. Familiarity with SAS, exome and RNA-seq analysis, and NGS laboratory procedures are preferred, but not required. Excellent interpersonal and communication skills are essential, as are the abilities to work both independently and collaboratively and to meet deadlines. Require a PhD in bioinformatics, computational biology, computer science, biostatistics, statistics, or other areas of quantitative life sciences, with related experiences.
This Postdoctoral Fellow will:
SUPERVISORY RESPONSIBILITIES: (include number of direct reports)
This person will be responsible for providing education and training in bioinformatics and data analysis topics to lab members, when needed. This person will supervise a bioinformatic analyst in the lab.
Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other groups as protected by law.
MINIMUM JOB QUALIFICATIONS: (Education, certifications, years of experience)
Require a PhD in bioinformatics, computational biology, computer science, biostatistics, statistics, or other areas of quantitative life sciences, with related experiences.
KNOWLEDGE, SKILLS, AND ABILITIES REQUIRED: