Postdoctoral Research Associate in Computational Biology

University of Maryland, Baltimore County
Biological Sciences
United States Maryland Baltimore
apply.interfolio.com/87851

Description

The Lobo Lab at the University of Maryland, Baltimore County ( lobolab.umbc.edu ) is seeking a postdoctoral researcher in computational biology to join a NIH-funded project in the area of systems biology of development and regeneration.

The project will leverage the planarian worm extraordinary ability to grow, degrow, and regenerate their whole body and organs to discern the mechanisms that control growth, shape, and size regulation. Join our interdisciplinary systems biology team combining surgical and genetic manipulations, molecular assays, machine learning, mathematical modeling, and ontological formalizations to obtain a mechanistic understanding of the genetic pathways that regulate tissue growth dynamics and whole-body scale targeted shapes and sizes.

Interested applicants should upload a cover letter with research interests and experience, curriculum vitae, and contact information to Interfolio: apply.interfolio.com/87851


The University of Maryland Baltimore County is an Equal Opportunity Employer/Affirmative Action Employer and welcomes applications from minorities, women, Veterans and individuals with disabilities.

UMBC is the recipient of an NSF ADVANCE Institutional Transformation Award to increase the participation of women in academic careers.

As an institution that receives federal financial assistance, UMBC adheres to Title IX and does not discriminate on the basis of sex. Information about Title IX and contact information for the Title IX Coordinator is available at: oei.umbc.edu/


Qualifications

Successful candidates will have a Ph.D. in computational biology or related field. Experience with mathematical modeling, machine learning, and/or bioinformatics analyses are desirable. Successful candidates will also have a demonstrated record of publications and excellent communication skills.


Start date

As soon as possible

How to Apply

To apply, please visit apply.interfolio.com/87851


Contact

Daniel Lobo