-
mammalian cell culture, molecular biology, large-scale mammalian cell expression, and protein production analysis for supporting protein therapeutics discovery efforts. The individual will perform
-
National Institutes of Health/National Library of Medicine | Bethesda, Maryland | United States | about 1 month ago
: Computational Biology Branch (CBB) Application Period: Applications will be accepted May 14, 2024, until the position is filled. Overview: Seeking an exceptional candidate to conduct research in human
-
, strain prediction based on genetics, structure, antigenic and relevant metadata. POSITION RESPONSIBILITIES Provide AI/ML and computational biology expertise to support Vaccine research & Development
-
relevant field of science (biology, immunology, microbiology, etc), and 0-2 years of experience. Has a good foundation in general scientific practice and in the principles and concepts of a relevant
-
/ project team independently and proactively. Perform laboratory experiments to help establish robust disease biology, biochemical and cell-based compound screening assays and carry out in vivo evaluation
-
assays Ability to use appropriate software to perform analysis of data Basic laboratory skills in the area of aseptic technique, solution making, molecular biology, western blotting, biochemical assays and
-
timely documentation of experiments in a laboratory notebook Qualifications Must-Have BS degree in biology, chemistry, biochemistry, chemical engineering, or related field with 2-5 years relevant
-
pharmaceutical science, chemistry, engineering (chemical or mechanical), biology, physics, or related field with 3+ years of experience or a Master's Degree (MA/MS) in the same fields. Excellent written and oral
-
supervision, demonstrating leadership in immunology, cancer animal models, and molecular/cellular biology with the ability to supervise others. Experience with cancer models, mouse colony management
-
. The Internal Medicine Research Unit (IMRU) is seeking a highly motivated non-PhD scientist with in vivo and molecular biology experience to support preclinical drug discovery efforts around obesity. The ideal