The Schlebach Lab in the Department of Chemistry at Indiana University is taking applications for a postdoctoral research position. The position offers an opportunity to develop and apply cutting edge computational techniques to address imminent challenges in the precision medicine of cystic fibrosis. The successful applicant will seek to utilize machine learning to rationalize the mechanistic effects of mutations in disease-linked integral membrane proteins. Motivated applicants with PhD training in any area of computational biochemistry and biophysics will be considered. A background in molecular biology is strongly preferred.
The Schlebach Lab is a dynamic multidisciplinary laboratory environment. Applicants will emerge with a skill set that is equally relevant to academia and industry. Trainees will receive regular guidance to ensure progress is made toward their career goals, regardless of whether trainees are pursuant of traditional or alternative careers. Trainees are also afforded the scheduling flexibility needed to maintain an appropriate work life balance.
The successful applicant will play an integral role within our growing team of interdisciplinary biochemists. The applicant will be expected to design and execute independent research involving the application of machine learning to the interpretation of deep mutational scanning data. The applicant will also be expected to provide computational support for a variety of ongoing projects in the lab.
For additional information visit: http://www.indiana.edu/~jpslab/
The initial appointment for this position will be for 12 months. Additional 12-month extension will be available based on performance and/or availability of funds. A competitive salary along with a benefits package will be offered.
Ph.D. by time of the appointment in biochemistry, biophysics, medicinal chemistry, biology, or any related discipline. Good communication skills and a respectful demeanor are essential. The successful applicant will prioritize the safety of themselves and others above all else, and will be courteous of others sharing lab and/or office space.
Proficiency in various computational languages including python and perl is essential. The ideal applicant would also be able to utilize existing informatics tools to solve various bioinformatics problems on a regular basis. Experience with biomolecular simulation and protein structure prediction is also desirable.
Department Contact for Questions:
Questions regarding the position or application process can be directed to: Prof. Jonathan Schlebach, Department of Chemistry, Indiana University, 800 E. Kirkwood Avenue, Bloomington, IN 47405, firstname.lastname@example.org.
OAA #: 21910-25
Appointment Status: Non-Tenure Track
Internal Number: 8390
About Indiana University
Founded in 1820, Indiana University is the state’s public university system, comprised of two core campuses—IU-Bloomington and IUPUI—and six regional campuses located throughout the state. Combined, the total student population is more than 114,000 undergraduate, graduate and professional school students. IU is one of the largest employers in the state, with over 20,000 faculty and staff. Indiana University is an equal employment and affirmative action employer and a provider of ADA services. Diversity and inclusion remains a core commitment to IU’s mission to cultivate an educational environment that supports equal access, participation and representation on all of its campuses and that provides educational and career opportunities for all.