Computational Scientists, under the supervision of either a Principal scientist or one of the Director/Associate Director/Manager in Computational Sciences, participate in the collaborative bioinformatics program aligned with institutional strategy and direction and make leading contributions to the cutting edge projects at The Jackson Laboratory. Computational Scientists will closely work with the research faculty & genetic resource scientists across all three campuses of The JAX on projects of wide ranging complexity from a diverse array of biomedical disciplines such as cancer biology, ageing, immunology, infectious diseases, metabolomics, neural disorders, muscular disorders, Biostatistics & Statistical Genetics, and stem cell & developmental biology. They also work with The JMCRS staff and Scientific Services to meet the analytical needs of The JAX’s Services, clients and partners. In addition, a Computational Scientist will participate in all CS departmental activities and collaborations as assigned by the supervisor or Associate Director or Director of the group to the extent assigned. They include, not limited to, helping interns, post-doctoral fellows, scientists, grant writing and CS Helpdesk.
Successful candidates will have in-depth knowledge and experience in High Throughput Sequence (HTS) data analysis (DNA Seq, mRNA Seq, ChIP Seq, micro RNA Seq etc), 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. They are continuous learners and proactive contributors. Furthermore, they will present the results to The JAX community, at conferences and workshops.
A Computational Scientist exhibits high level ability to work independently, development of in-depth knowledge in selected biological disciplines to analyze and provide expert reasoning to the relevant projects. A Computational Scientist is expected to independently establish collaborations within The JAX, provide expert reasoning to the projects relevant to the scientist’s disciplines of research disciplines, contribute to grant writing in conjunction with the researchers at The JAX. Expected to provide Leadership in grant applications as Co-I or bioinformatics leadership in a significant scientific program at The JAX. Provide overall project leadership that includes, not limited to, project management, logistics management, scope definition and collaboration management.
The candidates with proven track record of “omics” data analysis, statistical genetics & Biostatistics, independent collaborative work and leading contributions to a biological discipline would be preferred.
They are expected to sustain collaborations with The JAX research staff and faculty on both the Farmington, CT and Bar Harbor, ME campuses and to visit the other sites of JAX on a regular basis and as required.