Bioinfomatician position in the Mello Lab at UMass Medical School

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The research lab of Craig C. Mello, Ph.D. has an immediate opening for a highly motivated and energetic bioinformatician.
The candidate will support ongoing research projects in RNA interference, Crispr/CAS9, and Developmental biology.
The ability to clearly communicate research methodology and design is essential to success in this position. Experience in an academic setting is strongly preferred.
Under the direction of a member of the faculty, the Bioinformatician is responsible for the design, development, evaluation and iterative modification of a technical infrastructure
to expedite the quantitative evaluation of data resulting from studies that are laboratory based. The position will entail the establishment and maintenance of applicable in-house
bioinformatics resources and interaction with individual lab members on customized research projects, as well independent projects that are solely computational.

Establish general bioinformatics resources for day-to-day use by members of the laboratory.
In collaboration with a member of the faculty, generate customized programming solutions to improve user interaction with available bioinformatics resources
Implement and adapt programs for microarray analysis, high-throughput sequencing data analysis, cis regulatory motif identification, and multi-genome protein motif searches.
Independently develop, implement and maintain custom designed computational solutions relevant for ongoing lab-based projects.
Independently develop, implement and maintain computational methods for meta-analysis of data generated in the lab as well as publicly available data.
Independently execute a scientific computational project (e.g. a project that can result in a first author publication)
Supervise entry level bioinformaticians.
Local establishment and customization of model organism genomic databases and tools for batch sequence analysis utilizing these resources.
Interpret and present study results in support of laboratory members.
Provide tabular and written summaries of approaches and analyses in a form suitable for inclusion in manuscripts or grant applications, as well as media for presentation at scientific meetings
Develop and implement custom bioinformatics programming solutions in collaboration with lab as necessary
Coordinate and collaborate with other research computing expertise at the Medical School as necessary
Participate in conference calls and data management meetings as needed
Perform other duties as required

BS in computer science, or equivalent experience
2 years of experience in relevant setting
Co-authorships on peer-reviewed publications are strongly suggested but not required
Strong background in statistical methodology, software languages and computer systems (Perl, C++, R, MySQL, etc.)
Experience in writing basic search algorithms and the ability to generate new algorithms and programs for custom data manipulation and analysis
Excellent communication skills, both oral and written, and interpersonal skills necessary to interact with a wide range of individuals

Experience in an academic setting is strongly preferred