The Saxena Laboratory in the Center for Genomic Medicine at Massachusetts General Hospital (MGH) is seeking a motivated, enthusiastic candidate to join our research group. Our research group uses human genetics and complementary strategies to: (1) identify the genetic basis of sleep and circadian rhythms;(2) reveal mechanistic links between sleep/circadian rhythms and type 2 diabetes and other chronic diseases; (3) ascertain fetal and maternal genetic risk factors for adverse pregnancy outcomes.
The Bionformatics Specialist II will advance the computational and functional genomics component of biomedical research at the department and in international collaborations. Works closely with other investigators to answer key biological questions by performing genome scale computational analyses. The background must demonstrate a proven ability to work collaboratively and perform high quality analyses of large-scale experimental data in a timely manner. Contributes code to shared computational infrastructure and is expected to meet high software development standards. Evaluates existing computational methods and serve as a knowledge resource to collaborators seeking advice about the best tool for a problem.
In addition, the candidate shows a high degree of independence and autonomy in managing research collaborations, designing Bioinformatics workflows, selecting tools and statistical approaches, and executing projects. Demonstrates good understanding of biological problems and in-depth knowledge of computational methods for next-generation sequencing analysis. Demonstrates mature interpersonal skills in communicating with collaborators and driving collaborative research.
PRINCIPAL DUTIES AND RESPONSIBILITIES:
- Provides collaborative advanced Bioinformatics analysis in support for the research projects at the Department of Molecular Biology and Partners in general.
- Drives the Bioinformatics component of the collaborative projects using computation (Linux/Unix environment, Perl, Python, R, or other scripting languages), statistics, good understanding of biological problems, and in-depth knowledge of methods for the analysis of high-throughput biomedical data, with the primary emphasis on next-generation sequencing methods.
- In addition, shows a high degree of independence and autonomy in managing these research collaborations, designing Bioinformatics workflows, selecting tools and statistical approaches, and executing projects.
- Interprets and translates computational results into biologically relevant conclusions and hypotheses. Discusses biological questions, problems, and outcomes with wet-lab collaborators.
- Addresses scientific ideas and questions of wet-lab collaborators and implements them in Bioinformatics workflows in real time as the project progresses.
- Clearly and succinctly communicates basic ideas and design of performed computational analyses to biologists and clinicians.
- Works on his/her own Bioinformatics research projects. Evaluates new practices and computational tools and applies the most optimal computational methods/tools in his/her research. Helps other group members adopt best practices and methods.
- Demonstrated understanding of statistics.
- Expertise working in Unix/Linux environments.
- Experience with Perl, Python, or other scripting languages.
- Ability to independently manage day-to-day collaborations and Bioinformatics workflows.
- Excellent skills in oral presentation and good writing skills; ability to clearly and succinctly communicate basic ideas of computational analyses to biologists and clinicians.
- Strong ability and experience in interpreting computational results and translating these results into biologically relevant conclusions and hypotheses.
BS or MS in computational biology, bioinformatics, cell biology, or a related field required, Ph.D. preferred.
Minimum 2 years of work experience in bioinformatics required.
Research Building with Office and Laboratory Environment.Apply online here: https://partners.taleo.net/careersection/ghc/jobdetail.ftl?job=3110496