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Post-graduate research software engineer

The lab of David A. Hafler and the Yale Center for Neuroinflammation is seeking a post-grad trainee to join our team. This role is well suited to someone with a computer science background and interest in biology, medicine, and biomedical research. It will provide the successful applicant with extensive experience in bioinformatics, biomedical data analysis, and clinical research, and would serve as an excellent experience for those interested in a career in medicine, biomedical engineering, or other medical research fields.

About the lab: The Yale Center for Neuroinflammation represents a large, multi-disciplinary group
of scientists with backgrounds in clinical medicine, molecular biology, statistical genetics,
engineering, applied mathematics, physics and computational biology. The constituent labs all
share an interest in the mechanisms of interaction between the immune system and central nervous system in health and disease. Dr. Hafler’s laboratory has been a major force in defining human autoimmune disease for over a quarter of a century. After demonstrating the presence of an
activated peripheral immune system in patients with multiple sclerosis, he was among the first to
apply human T cell cloning to human disease, which helped delineate the dominant epitopes of
myelin antigens in multiple sclerosis and of islet antigens in type 1 diabetes mellitus. His lab has
closely examined the mechanism for the loss of self-tolerance, and was among the first to describe
the regulatory T cells in humans and the molecular defects in regulating tolerance in autoimmune
disease. His lab has also focused on the mechanism for induction of Th17 cells in humans.

Training to include:
• Code and test programming for analysis of genomic and other biomedical data
• Fix bugs in existing code
• Maintain code repositories for shared use by working group
• Maintain and update existing research software on lab server
• Collaborate with lab and group members on data analysis tasks

Software Engineer Qualifications/Skills:
• Understanding of object-oriented software engineering
• Ability to efficiently write clean, well-documented code
• Excellent complex problem solving and critical thinking skills
• Good communication skills and responsiveness
• Ability to work as part of a team, with highest professionalism

Education and Experience Requirements:
• Bachelor’s degree in computer science, engineering, or a related field
• Working knowledge of Python, R, Java, shell scripting, Perl
• Facility with applied mathematical concepts (linear algebra, statistical modeling)
• Experience with genomic analysis is a plus