1Protein Scientist (Post-doc, Research Associate/Research Assistant Professor) Position.

We are seeking a protein scientist at PhD, MS or equivalent levels to participate in the chemogenomics-based stem cells, multiple myeloma and osteoporosis drug discovery research projects (https://www.cbligand.org/CCGS/).   
•        The candidate must have expertise and working experience in protein expression using E. coli, baculovirus/insect and/or mammalian expression system, and applying IMAC, SEC and other novel purification protocols to provide functional proteins for assay and structural characterization.   
•        Experience with vector design/construction, AKATA purification systems,  GPCRs, autophagy signaling studies or LC-MS/MS for ligand/protein interaction, or PK/PD studies or NMR/X-ray crystallographic biophysics is plus.  
•        Must demonstrated ability to design, execute and analyze experiments and maintaining detailed records.  Good written, verbal, and interpersonal skills are needed. Salary will be commensurate with experience.
Please email your CV and three references to: Prof. XQ (Sean) Xie, Dept. of Pharmaceutical Sciences, School of Pharmacy, University of Pittsburgh, Pittsburgh, PA 15261 to xix15@pitt.edu and cc his Assistant Terry McGuire tfm1@pitt.edu  email subject: “XX-4“

2Research Assistant Professor, Research Associate and Postdoc POSITION AVAILABLE  

We are looking for an energetic and highly-motivated scientist to participate in chemical genomics drug discovery (www.cbligand.org/xielab/).  The candidate must have working experience in Immuno-Oncology drugs/targets and autophagy signaling research, preferably related to either multiple myeloma, or osteoporosis, or hematopoietic stem cells targeting p62, p18 or CB2 proteins. A strong background in cancer biology, bone biology, and cell signaling, animal experiments, or structural biology/biophysics is a plus. Excellent communication and writing skills are required.  Salary will be commensurate with experience. Please email your CV and three references to: Prof. Sean Xie, Dept. of Pharmaceutical Sciences/Drug Discovery Institute, School of Pharmacy, University of Pittsburgh, Pittsburgh, PA 15261. xix15@pitt.edu, and cc his Assistant Dr Terry McGuire tfm1@pitt.edu The University of Pittsburgh is an Affirmative Action, Equal Opportunity Employer.  Email subject: XX-5
   
3Computational Postdoc, Research Associate, Research Assistant Professor or Programmer Position
Computational Chemical Genomics Screening Center Department of Pharmaceutical Sciences
School of Pharmacy
University of Pittsburgh

The Computational Chemical Genomics Center (CCGC) (www.CBLigand.org/CCGS and www.CDARcenter.org ) is developing and implementing state-of-the-art computational chemical genomics technologies. The Center is also centralizing the “Big Data” disease domain specific chemogenomics and computational programs/tools through a GPU-accelerated cloud computing server platform in order to enable efficient information exchange and to advance drug target identification and system polypharmacology.  The goal is to speed up the development of novel therapeutic intervention strategies for drug discovery, design and development.
We are seeking a creative, self-motivated individual with excellent interpersonal, writing and problem solving skills who is interested in working in a dynamic drug discovery environment. The successful candidate will participated in computational, big-data type projects and network algorithm development. Applicant must have strong background in programming, program testing and deployment, and have experience in large data modeling/analysis, database administration, and graphical user
interface (GUI) design. Proficiency in at least one object-oriented programming language (e.g., Java, C++ or C#), and scripting language (e.g., Python, PHP) is preferred. Experience with GPU programming and computing, web/mobile application development, big data analysis, network
information security, virtual reality programming and Web services methodologies are desired. It is also desirable to have experience in developing modeling techniques for similarity searching and docking, in silico ADMET and off-target modeling as well as broad experience in small molecule drug discovery. The applicant must have a PhD or MS degree or equivalent, and strong communication and writing skills.

Application Process:
Please send a detailed curriculum vitae, cover letter and three references to Professor Sean Xie
xix15@pitt.edu,   and Dr Terry McGuire: tfm1@pitt.edu   Department of Pharmaceutical Sciences, University of Pittsburgh.  email subject: “XX-6” The University of Pittsburgh is an Affirmative Action, Equal Opportunity Employer.

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