Postdoctoral Research Associate - Bioengineering, Prof. Princess Imoukuede Lab

Description

The hired Postdoc will be responsible for developing computational models of cell surface receptor signaling and trafficking, developing hypotheses and research plans for the computational models, and designing and implementing research protocols, procedures, methods, or instrumentation relevant to the research. Additionally, the hired Postdoc will be expected to perform regular scientific literature searches and remain up to date on the current scientific literature; attend research seminars, workshops, and conferences; review scientific manuscripts; develop and publish figures, tables, presentations, and manuscripts; and assist with assist in the supervision of graduate and undergraduate students.

This is a full-time Postdoctoral Scholar position on an annual, 12-month appointment with an anticipated start date of March 1, 2024.  Postdoctoral Research are represented by UAW 4121 and are subject to the collective bargaining agreement, unless agreed exclusion criteria apply. For more information, please visit the University of Washington Labor Relations website.

The base salary range for this position will be $5,705 per month, commensurate with experience and qualifications, or as mandated by a U.S. Department of Labor prevailing wage determination.

International Applicants: Visa sponsorship will be reviewed on a case-by-case bases. Relocation costs are not included.

Qualifications

The hired Postdoc must have earned a Ph.D. (or foreign equivalent) in a quantitative field, such as Computational Systems Biology, Bioengineering/Biomedical Engineering, Biophysics, Chemical Engineering, or a related area before the date of joining and have at least 2-3 years of experience utilizing the following skillsets:

·         Systems Biology Knowledge: A basic understanding of biological systems, including genetics, molecular biology, and cellular processes.

·         Biological Data Interpretation: Ability to interpret and analyze various types of biological data, such as genomic or proteomic data.

·         Statistical Analysis: Strong grasp of statistical methods and tools for analyzing complex biological data.

·         Programming Skills: Proficiency in programming languages like Python, R, MATLAB (e.g., SimBiology), or others relevant to biological data analysis.

·         Modeling Techniques: Knowledge of computational modeling techniques such as Differential Equations Modeling, Agent-Based Modeling, and Pharmacokinetic and Pharmacodynamic (PK/PD) Modeling.

 

Application Instructions

Please submit a cover letter, CV, and the names/addresses for three references through Interfolio. With questions, you can contact Dr. Imoukhuede and Dr. Fang at Imoukhuedelab@u.washington.edu.  More information about the Imoukhuede Systems Biology Lab can be found at https://sites.bioe.uw.edu/imoukhuede/.

Equal Employment Opportunity Statement

University of Washington is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, marital status, pregnancy, genetic information, gender identity or expression, age, disability, or protected veteran status.

Benefits Information

A summary of benefits associated with this title/rank can be found at https://hr.uw.edu/benefits/benefits-orientation/benefit-summary-pdfs/. Appointees solely employed and paid directly by a non-UW entity are not UW employees and are not eligible for UW or Washington State employee benefits.

Commitment to Diversity

The University of Washington is committed to building diversity among its faculty, librarian, staff, and student communities, and articulates that commitment in the UW Diversity Blueprint (http://www.washington.edu/diversity/diversity-blueprint/). Additionally, the University’s Faculty Code recognizes faculty efforts in research, teaching and/or service that address diversity and equal opportunity as important contributions to a faculty member’s academic profile and responsibilities (https://www.washington.edu/admin/rules/policies/FCG/FCCH24.html#2432).

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