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Job Description

RESEARCH SPECIALIST, Computer Science and Artificial Intelligence Laboratory (CSAIL)-Computational Biology Group, to work at the interface of computational and experimental work. Will develop new computational methods, integrate large-scale genetic and genomic datasets to understand disease circuitry, predict new therapeutic target genes and control elements, guide experimental dissection, refine biological hypotheses, and generate new datasets for computational analysis. Application of the computational skills will be to human diseases, specifically neurodegenerative, neuropsychiatric, immune, and cancer. Will lead the development and implementation of new computational, statistical, and machine learning (ML) methods to advance the practice of genetic, regulatory genomic and biomedical data analysis; produce interpretable and translational causal models for intuitive follow-up experiments including the planning, design, and implementation of high-level research objectives; make independent decisions on technical problems and methods and collaborate with team members on resolving important research questions and on planning and coordinating the work of group members; present research at high-impact conferences and publish in high-impact journals; interact with sponsors and assist with writing project reports; and serve as a primary liaison with external collaborators and initiate new project concepts and develop technical proposals.

Job Requirements

REQUIRED: B.S. (master's preferred) with a major in computer science/computer engineering or related field; track record of conducting computational biology research; experience working with high-dimensional genomic and statistical genetics data; clear understanding of state-of-the-art machine learning and artificial intelligence methods; comfort with a variety of programming languages and data science pipeline; excellent communication and presentation skills; and ability to work as part of a diverse, creative team of scientists. Job #23360

This is a one-year funded position with the potential to renew.

10/24/23