Institute for Quantitative Health 40001033
Support Staff
Bioinformatics Research Assistant
The Bhattacharya Lab (https://sbhattac.msu.domains/) in the department of Biomedical Engineering and the Institute for Quantitative Health Sciences at Michigan State University is seeking a Bioinformatics Research Assistant with a strong computational background to apply state-of-the-art machine learning and data science methods to exciting problems in biology and toxicology.
Specifically, the successful applicant will be expected to:
(1) Develop predictive computational models of single-cell and spatial gene expression in the context of cellular differentiation and transition of tissues from health to diseased conditions (40%);
(2) Clearly document steps in model development and prepare written guides for model use by the scientific community (15%);
(3) Present the model at research conferences (10%);
(4) Publish peer-reviewed manuscripts describing the predictive model (15%);
(5) Mentor undergraduate and graduate students in the lab on bioinformatics and machine learning (20%).
Knowledge equivalent to that which normally would be acquired by completing a four-year college degree program in machine learning / AI / Data Science or other related science fields; one to three years of related and progressively more responsible or expansive work experience in standard laboratory procedures and safety requirements and performing analytical and research techniques in an area related to research being performed; may require software specific to the area of research; or an equivalent combination of education and experience.
MS in machine learning / AI / Data Science. A strong computational background with familiarity state-of-the-art machine learning and data science methods. A background in genomics / biology is desirable but not essential.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, citizenship, age, disability or protected veteran status.
Updated CV
3 professional references
STANDARD 8-5
This is an off-dated position funded for one year from date of hire, with possible extension contingent upon funding renewal.
https://sbhattac.msu.domains/
MSU strives to provide a flexible work environment and this position has been designated as remote-friendly. Remote-friendly means some or all of the duties can be performed remotely as mutually agreed upon.
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