Bioinformatician

Organization
UMass Medical School
Job Location
Worcester, MA 01605
Job Description

Overview:

 

We are looking for a strong computer scientist, computational biologist, physicist or mathematician with a keen interest in biology to join the University Of Massachusetts Medical School Bioinformatics Core. Applicants should have a deep understanding of computer architecture, software development techniques and web application development and a strong desire to apply these skills to enable large data biology.

 

Located in Worcester, the University of Massachusetts Medical School (UMMS) is one of the fastest-growing academic health centers in the country and is home to the School of Medicine, the Graduate School of Biomedical Sciences and the Graduate School of Nursing. During the past four decades UMMS researchers have made advances in a broad range of disease families, from HIV and infectious diseases to cancer, genetic disorders, diabetes and immune disease. UMMS faculty discovered the link between the immune system and type-1 diabetes, found the genetic cause underlying the third-most-common form of the muscular dystrophies, established the fundamental difference between HIV and other retroviruses and co-discovered RNA interference (a gene-silencing process which has become a tool in research focused on such areas as diabetes, HIV/AIDS and cancer).

 

The last years has seen an explosion of large sequencing datasets. It is now common for a single experiment to generate hundreds of gigabytes of data. Sequencing has become the readout of choice for many assays ranging from transcriptional profiling (RNA-Seq), protein-nucleic acid interactions (ChIP and CLIP sequencing) and genotyping through exome or whole genome sequencing. Processing of these large datasets has become the challenge of genomics. The Bioinformatics Core brings “Big Data” analysis to the masses by:

 

1) Implementing state-of-the-art pipelines that can be run on a web interface while executing on a large high performance cluster.

 

2) Conducting a set of training sessions ranging from statistics, basic programming and data analysis “data-tons”.

MAJOR RESPONSIBILITIES:

  • Establish general bioinformatics resources for day-to-day use by members of the laboratory
  • In collaboration with a faculty member, generate customized programming solutions to improve user interaction with available bioinformatics resources
  • Assist in the implementation of programs for microarray analysis, high-throughput sequencing data analysis, cis regulatory motif identification, and multi-genome protein motif searches
  • 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.

 

 

REQUIRED QUALIFICATIONS:

  • BS in computer science or a related discipline. Previous work experience desired, but not required; candidates with advanced degrees will be considered.
  • 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

 

UMass Medical School is committed to being an equal opportunity and affirmative action employer and recognizes the power of a diverse community. We encourage applications from protected veterans, individuals with disabilities and those with varied experiences, perspectives and backgrounds to consider UMass Medical School as their employer of choice.
Review of applications will begin immediately and the position will remain open until filled.

Apply Here

How to Apply

New study finds bias against female lecturers among student course evaluations, the Economist reports.

A research duo finds that science and technology graduate students who turn away from academic careers do so because of changes in their own interests.

Students whose classmates are interested in science are more likely to think about a career in science, technology, engineering, and mathematics, a new study says.

CNBC reports that the genetic counseling field is expected to grow as personalized medicine becomes more common.