Bioinformatics Analyst

Organization
The Jackson Laboratory
Job Location
Farmington, CT 06032
Job Description

The Jackson Laboratory (jax.org) is a world leader in genomic medicine with eight decades of experience using genetics and genomics to accelerate scientific discovery and discover precise solutions to human disease. In joining our team, you will contribute to our important mission of discovering precise genomic solutions for disease and empowering the global biomedical community in our shared quest to improve human health.

The Jackson Laboratory for Genomic Medicine (JAX-GM) seeks a bioinformatics expert to develop and apply state-of-the-art methodologies in the study of genome structural variation and its contribution to human diseases, and vertebrate genome evolution.

As the successful candidate for this role, you will join the Lee lab in our brand new, fully-equipped JAX-GM facility in Farmington, CT, and have the opportunity to prominently contribute to cutting-edge research in human genetics, disease biology, and translational research. Active projects in the lab involve studies into structural variation in genomes and disease, single cell genomics, genome editing, cancer evolution/heterogeneity and development of new bioinformatics tools.

 

Requirements


Required Skills

  • A Ph.D. in bioinformatics, computer science, biostatistics or any relevant field of study.
  • Demonstrate the aptitude and bioinformatics expertise in the niche areas of genome variation and cancer genomics.
  • Track record of publishing in high impact journals.
  • Proficiency in programming (Python, Java, C++) and statistical analysis (R, MATLAB).
  • Experience in UNIX like operating systems and high performance computing.
  • Proven track record and enthusiasm for working in a dynamic high performance research team environment.
  • Be creative and eager to learn new technologies and science.
  • Preferences given to those living in Connecticut.


Desired Skills

  • Track record of developing algorithms and tools in the area of human genome variation and cancer biology.
  • Experience with large datasets from big consortium projects such as TCGA/ICGC/ENCODE and 1000 Genomes.
  • Experience in High Throughput Sequence (HTS) data analysis, microarray data analysis, data integration, evaluation of analytical tools and technology.
  • Excellent communication skills including skills necessary to present at the conferences and workshops, write study designs and analytical methods.

 

Desired Experience

  • PhD degree
  • 3+ years of experience in computer science, bioinformatics or biostatistics.
  • Demonstrable participation in initiation/development of research projects and leading them to successful completion.
  • Experience with applications for external research funding at any level will be a huge plus.

 

EEO
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status.

How to Apply

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