Associate Research Scientist- Allergy, Immunology and Rheumatology
Columbia University
Application
Details
Posted: 20-Aug-22
Location: New York, NY
Salary: Open
Internal Number: 92619
Associate Research Scientist in Bioinformatics (Faculty-PhD trained role)
The Milner Lab at Columbia University, Department of Pediatrics, Division of Allergy, Immunology and Rheumatology is seeking a talented Associate Research Scientist with PhD trained in computational genomics or similar areas. The lab is working on inborn errors of immunity, including allergic disease, including discovery of new genes for human diseases and characterization of the mutation spectrum and molecular mechanism of disease, clinical characterization of the disorders associated with these gene mutations, and integration of these discoveries into clinical practice through the development and implementation of clinical genetic testing in medical care.
**Projects
Associate Research Scientists are encouraged to come up with new ideas in the field of computational genomics and disease genetics relevant to the overall theme of the lab. Here are a few examples:
* Lead the analysis of large-scale genome and exome sequencing data in order to discover new risk genes of Mendelian and complex diseases, using state-of-the-art computational approaches.
* Optimize existing or develop new computational methods to analyze genomic data in disease genetic studies, especially in the areas of interpretation of coding and noncoding genetic variants, integration of genetic and fine-resolution phenotypic data.
* Implementation of novel interfaces and databases for non-informatics trained providers to quickly analyze medelian cohorts and search for variants in real time as patient sequencing data are returned.
** Requirements
PhD in Computational Biology, Bioinformatics, Population or Statistical Genetics, or equivalent.
Demonstrated experience in genome or exome sequencing data analysis or method development.
Excellent communication skills and teamwork
Programming: Fluency with at least one general-purpose programming language (such as Python, Swift), and one language/framework for scientific computing (such as R, TensorFlow). Experience with source code version control systems, UNIX, and high performance computer cluster.
Creative thinker and strong problem-solving skills
** Preferred qualification
* Postdoc experience in computational genomics or statistical genetics
* Research experience in disease genetic studies using genome or exome sequencing
The salary of the position will be competitive based on qualifications.
Columbia University is an Equal Opportunity Employer / Disability / Veteran
Columbia University is one of the world's most important centers of research and at the same time a distinctive and distinguished learning environment for undergraduates and graduate students in many scholarly and professional fields. The University recognizes the importance of its location in New York City and seeks to link its research and teaching to the vast resources of a great metropolis. It seeks to attract a diverse and international faculty and student body, to support research and teaching on global issues, and to create academic relationships with many countries and regions. It expects all areas of the university to advance knowledge and learning at the highest level and to convey the products of its efforts to the world.
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