Research Scientist

The Jackson Laboratory Located in: Farmington,  Connecticut
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Research Scientist



About The Jackson Laboratory for Genomic Medicine: Comprising 183,000 square feet of highly advanced, state-of-the-art laboratories and supporting facilities, JAX-GM is conveniently located midway between NYC and Boston in the heart of Connecticut's growing bioscience industry. Our mission at JAX-GM is to discover the complex causes of disease, develop diagnostics and therapeutics, and ultimately empower the global medical community.


JAX-GM is part of an exciting, internationally-recognized research and educational institution with unparalleled genomic resources and research support services. Seeking to advance personalized medicine, we draw on the institution's distinguished history and on the innovative expertise of our growing faculty, who are recruited from among the world’s top scientific labs and institutions.


About the position: The Ouyang Lab at The Jackson Laboratory for Genomic Medicine is seeking a senior level Research Scientist. The incumbent will develop statistical/computational methods/tools for biological big data integration, analysis, and visualization, and apply them to human development and complex diseases/traits. In this role, you will have an excellent opportunity to make leading contributions to cutting edge research in disease biology and translational research in collaboration with the faculty and research scientists of The Jackson Laboratory for Genomic Medicine.  





  • Develop statistical/computational methods and tools for processing and integration of biological big data from cutting-edge technologies/platforms (3D genomics, single-cell genomics, long-read sequencing, imaging, etc.)
  • Collaborate with investigators at JAX, define hypotheses, design studies, devise analysis pipelines, implement analysis, evaluate algorithms and tools, and make leading contributions to publications





  • PhD in statistics/biostatistics, bioinformatics, computer science, or related fields
  • Proven research experience and publication records in statistical/computational genomics
  • Excellent communication and problem-solving skills, attention to detail
  • Ability to work independently and in a team
  • Self-motivated and disciplined, time and project management skills
  • Proficient in high-performance computing, Unix/Linux shell, R, Python/Perl, and version control software


APPLICATION INSTRUCTIONS:  Please include a cover letter along with your resume/CV. Applications without cover letters will not be considered. 




JAX began in 1929 with a small group of scientists dedicated to the emerging field of genetics. We now have over 1,700 scientists, technicians, and support staff, including over 50 Principle Investigators in five primary disease areas: cancer, reproductive biology, immunology, metabolic processes and neuroscience. Our fundamental contributions to biomedical research include cancer genetics and establishing the mouse as the premier research animal model.


  • Uncover more of our historic milestones, including the 26 Nobel prizes associated with our research, resources, and education
  • Read our latest news & insights for a glimpse at how we’re impacting the future of biomedicine
  • Follow the progress we’re making on our quest to improve human health via our recent research highlights



EEO: The Jackson Laboratory provides equal employment opportunities to all employees and applicants for employment in all job classifications without regard to race, color, religion, age, mental disability, physical disability, medical condition, gender, sexual orientation, genetic information, ancestry, marital status, national origin, veteran status, and other classifications protected by applicable state and local non-discrimination laws.



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:
Experienced - Not Management
  R&D / Science
Preferred Industry Background:
Managing a team of:
Required Travel:

Base Salary:
Other Compensation: