Job Opportunity: Assistant/Associate/Full Professor at the University of Pittsburgh Department of Computational and Systems Biology

We invite applications for a tenure-track or tenured Faculty position at the Assistant Professor, Associate Professor, or Full Professor level, in the Department of Computational and Systems Biology (DCSB) at the University of Pittsburgh School of Medicine. We seek creative individuals who can develop a cutting-edge research program and lead collaborative research initiatives on the development and use of novel computational models, physical sciences and/or engineering methodologies, machine learning algorithms and quantitative analysis and dissemination tools to address current challenges in computational and systems biology research areas and to facilitate the translation of basic research into clinical applications.

The ideal candidate will have demonstrated leadership and interdisciplinary research accomplishments in one or more of the following areas: molecular-to-cellular systems biology, including modeling complex systems structure/morphology, dynamics and function using structural, image and data from latest technology, including cryo-electron microscopy, single molecule experiments and live cell imaging; synthetic biology and novel biotechnology; translational science bridging genomics, systems biology and clinical applications; drug-or therapy-discovery and development using structure, genomics and/or systems pharmacology and applications to precision medicine; evolutionary systems biology; synthetic developmental biology including organoids, organs on a chip, and constructing multicellular systems with synthetic/engineered components. While the position requires interest and accomplishments in computational and/or theoretical biological sciences, the successful candidate may also seek to start a wet lab to investigate important problems using both computational and molecular methods.

The level of appointment and salary will be commensurate with qualifications, experience, and responsibilities. The successful candidate will have the opportunity to mentor students in multiple interdisciplinary graduate programs including the Joint Carnegie Mellon University–University of Pittsburgh Ph.D. Program in Computational Biology, the Integrative Systems Biology Ph.D. Program, and the Computational Biomedicine and Biotechnology Master’s Program. We especially seek candidates who have a documented interest in mentoring and other activities to promote diversity, equity, and inclusion in our department and in general.

Applicants should email the following materials to Nancy Linderman (nml@pitt.edu): (1) a cover letter, (2) a CV, (3) a research statement, (4) a teaching and mentoring statement, (5) a statement describing the applicant’s accomplishments and plans for promoting diversity, equity, and inclusion, and (6) a list of three references from whom letters may be requested. Review of applications will begin on November 22, 2021.

The University of Pittsburgh is an Affirmative Action, Equal Opportunity Employer and values equality of opportunity, human dignity and diversity. EOE, including disability/vets.

Gordon Research Conference organized by Dr. Bahar

June 1-6, 2014  Salve Regina University, Newport, RI This Application has been closed.

Biopolymers

Mechanisms of Biomolecular Interactions: From Physical Principles to Biological Insights

Chair: Vice Chair:
Ivet Bahar Harald Schwalbe

Application Deadline                                                                                                                               

Applications for this meeting must be submitted by May 4, 2014. Please apply early, as some meetings become oversubscribed (full) before this deadline. If the meeting is oversubscribed, it will be stated here. Note: Applications for oversubscribed meetings will only be considered by the Conference Chair if more seats become available due to cancellations. A preliminary program outline is available below. Additional speakers and discussion leaders will be selected from among the abstract submissions.


Summary                                                                                                                                                 

It is widely established that it is essential to understand the dynamics and mechanisms of biomolecular interactions in order to develop methods for efficiently monitoring biological activities, designing new functionalities or altering existing properties. Fundamental principles of physical sciences, polymer science and engineering have played a crucial role in molecular and structural biology in establishing the physical basis and origin of complex interactions. Significant advances have been made in recent years, both computationally and experimentally. However, the cooperative dynamics and evolutionary properties of biological systems, as well as the effect of the physiological (crowded) environment present additional layers of complexity, which are limiting our ability to elucidate the mechanisms of function and allostery that underlie many observed phenomena. These complications are best reflected in the characterization of membrane proteins and biomolecular machines often composed of multiple subunits that act concertedly in restricting environments. The development of effective strategies for identifying the molecular origin and mechanisms of observed phenomena and for developing intervention methods for regulating or modifying biological function requires a deeper level of quantitative investigation and multidisciplinary collaboration. The proposed GRC is uniquely poised to bring together scientists from different disciplines and foster new collaborations toward this aim.


Preliminary Program                                                                                                                                 

  • Keynote Session: Biomolecular Machinery, Signaling and Regulation
    (Harald Schwalbe / John Kuriyan / Andrej Sali)
  • Biomolecular Complex Formation, Oligomerization and Assembly
    (Shoshana Wodak / Gidon Schreiber / Holger Stark / Sarah Woodson)
  • Structural Dynamics of Membrane Proteins: From Single Molecules to Cell Interactions
    (Benoit Roux / TBA / Tamir Gonen)
  • Membrane Transport: Structures, Dynamics and Mechanisms
    (Gary Rudnick / Lucy Forrest / TBA / Olga Boudker)
  • Allosteric Modulation of Function by Substrate / Ligand Binding
    (Adrian Elcock / Poul Nissen / Stephen Blacklow)
  • Protein-Drug Interactions: From Molecular Docking to Systems Pharmacology
    (Andy McCammon / Brian Shoichet / TBA)
  • Detection of Conformational Changes
    (TBA / Robert Sauer/Yann Chemla)
  • Design and Evolution
    (TBA / Tanja Kortemme / Sarah Teichmann / Nikolay Dokholyan)
  • Misfolding and Aggregation
    (Teresa Head-Gordon / John Straub / Patricia Clark)