Bioinformatics Analyst I

The Jackson Laboratory Located in: Farmington,  Connecticut
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ABOUT THE POSITION: A position is available immediately for a Bioinformatics Analyst to join the lab of Dr. Charles Lee at the Jackson Laboratory for Genomic Medicine. The research focus of the lab is in the area of structural variation in the human genome and association with human phenotype and disease.  This position offers the opportunity to make leading contributions to cutting edge research in human genetics, disease biology, and translational research. For more on Dr. Charles Lee and the exciting research happening in the Lee Lab, visit:


  • Develop new algorithms / pipelines for studying SVs in the human genome
  • Data analysis through established algorithms / pipelines to study genome structural variation and its contribution to human disease and genome evolution
  • Familiarity 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 or evaluation of new analytical tools and technology

ABOUT JAX-GM: Comprising 183,000 square feet of highly advanced, state-of-the-art laboratories and supporting facilities, the brand new JAX-GM conveniently sits midway between NYC and Boston in the heart of Connecticut. JAX-GM is part of an exciting $1.1 billion venture between the state of Connecticut and The Jackson Laboratory, an internationally-recognized research and educational institution with unparalleled genomic resources and research support services.

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




    • A Masters level degree in bioinformatics, computer science, biostatistics or any relevant field of study

    • Demonstrated aptitude and bioinformatics expertise in the niche areas of genome variation and/or cancer genomics

    • Proficiency in programming (Python, Java, C++) and statistical analysis (R, MATLAB)

    • Experience in UNIX-like operating systems and high-performance computing environments

    • Creativity and eagerness to learn new technologies and science

    • Enthusiasm for working in a dynamic, high-performance research team environment

    • Strong communication skills


Imagine a world free of devastating disease. A world where cancer, diabetes, Alzheimer's – many of the conditions that undermine human health – are understood and can be stopped.


Seniority Level:
  R&D / Science,  Analysis,  IT / Software Programming
Preferred Industry Background:
  Other,  Biotechnology,  Research
Managing a team of:
Required Travel:

Base Salary:
Other Compensation:
Education Required: