BACKGROUND

RESPONSIBILITIES

• Conduct all aspects of research projects under the mentorship of the Principal Investigator (e.g., data collection, preprocessing, analysis, software development, testing, evaluation, benchmarking, etc.).
• Write manuscripts for publication.
• Contribute to the drafting of grant proposals.
• Present research progress at lab meetings and the individual meetings with the PI.
• Attend conference for oral and poster presentations of research projects.
• Contribute to mentoring and training of graduate and undergraduate students in the lab.

REQUIREMENTS

• Ph.D. in Computer Science, Bioinformatics, Biostatistics, or related field with a strong research background in machine learning, statistics, genomics, or a closely related field

PREFERENCES

• Strong first-author publication track-record in bioinformatics
• Experience analyzing high dimensional biological datasets, particularly next-generation sequencing data
• Demonstrated experience with the application of supervised and unsupervised machine learning methods to biological datasets
• Proficiency in software development skills, including programming skills in R and/or Python, expertise with documentation, version control, and code releases
• Expertise in Linux and high-performance computing environments
• Strong communication and scientific writing skills
• Ability to learn quickly and apply new analytic techniques

TERMS

HOW TO APPLY

DEADLINE