The ideal candidate will:
• Possess a Ph.D. in biostatistics, computer science, or bioinformatics
• Have a proven track record and enthusiasm for working in a dynamic high performance research team environment;
• Demonstrate the aptitude and capacity for developing bioinformatics expertise in the niche areas of biological sciences and relevant translational research
• Be a creative contributor eager to learn new technologies and science
Incumbents are required to live and work in Connecticut with periodic multi-day work visits to the Bar Harbor, Maine campus.
• Experience in High Throughput Sequence (HTS) data analysis, microarray data analysis, experimental design, data integration, algorithm development, development of sequence analysis tools (bioinformatics programming), evaluation of analytical tools and technology, and delivering training to the research community.
• Experience in statistical packages (e.g. R/SAS) and other commonly used software packages such as DAVID and IPA.
• Experience in developing computational algorithms and systems to support genetics and genomics research.
• Excellent communication skills including skills necessary to present at the conferences and workshops, write study designs and analytical methods.
The successful candidate will have a PhD degree in Statistics, Biostatistics, Computer Science or Bioinformatics. Bioinformatics expertise in niche areas of biomedical research such as cancer biology, stem cell biology and immunology would be a plus. Candidates with a proven track record of “omics” data analysis, independent collaborative work and leading contributions to a biological discipline are preferred.