Tracking Code 5888
Computational Scientist (Application/Assistant/Associate/Full)
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: JAX-GM is seeking an exceptionally talented and highly motivated Computational Scientist to lead the research efforts central to the success of its computational sciences department. The Computational Sciences department works collaboratively with faculty at The Jackson Laboratory to understand the biology of diseases like cancer, diabetes and Alzheimer's.
The successful candidate will be responsible for leading a variety of computational research projects to understand the biology of diseases through large-scale genomic data integration and analysis, algorithm comparison and benchmarking, and machine learning.
The successful candidate will thrive in a proactive, can-do culture and enjoy working in a small, cross-disciplinary team as well as collaborating with other computational scientists and software developers at JAX.
- Lead efforts in the analysis of large public datasets and databases relevant to cancer genomics and immuno-oncology, such as TCGA, ICGC, ENCODE and GTEx.
- Leverage internal and public cancer genomic and clinical data to support decisions on clinical indications and target populations.
- Direct the development of new tools and algorithms for integrative analysis of DNA-seq, RNA-seq, and whole exome sequencing datasets for the development of biomarkers.
- PhD in Cancer Genomics, Computational Biology or Bioinformatics is preferred. PhD in other fields combined with postdoctoral or work experience in the field of computational biology will be considered.
- Deep understanding of machine learning algorithms including deep learning methods.
- Experience in image and video processing will be a plus.
- Technical expertise in NGS data processing and analysis, including extensive hands-on experience with whole exome and RNA sequencing.
- Advanced programming expertise in Python and R.
- Experience with modern techniques in data science and machine learning, such as feature engineering, cross-validation, clustering and PCA, and supervised learning.
- Experience contributing to scientific software development efforts to deliver pipelines, tools, and data analyses.
- Experience working in a cloud computing environment, Docker, Luigi, pandas, and/or Spark will be a plus.
- Experience in grant writing will be a plus.
APPLICATION INSTRUCTIONS: Please include a cover letter along with your resume/CV. Applications without cover letters will not be considered.
MORE ABOUT JAX
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: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status.Company Description Leading the search for tomorrow's cures. Learn