This 4 year studentship, due to start Jan-Mar 2013, is a collaboration between the Department of Biochemistry, University of Cambridge, the Cambridge Crystallographic Data Centre and UCB Pharma, a global pharmaceutical company. It is funded under the BBSRC Industrial CASE Award scheme and BBSRC UK Residency criteria apply. Please see the link below for further details and how to apply: http://beta-www.ccdc.cam.ac.uk/CCDC/Careers/pages/Careers.aspx
Saturday, 20 October 2012
Two Ph.D. student positions are available in Prof. Qian's group in computational chemistry at the Department of Chemical Engineering, University of Arkansas starting immediately. The research topics in Prof. Qian's group focus on biomass conversion to biofuels, responsive polymers, salt effects on protein folding and unfolding. A variety of computational tools are used including quantum mechanical methods, classical and ab initio molecular dynamics simulations and QM/MM.
Interested candidates please contact: Prof. Xianghong Qian Department of Chemical Engineering University of Arkansas Tel: 479-575-8401 Email: firstname.lastname@example.org
Schrodinger, a technology leader specializing in software solutions for life science research and development, is searching for an Applications Scientist to be based in Cambridge, MA. Applications Scientists work on the development of new computational methods for drug discovery, scientific publications, and assist customers with using Schrodinger software to solve challenging scientific problems. Applications Scientists also work at the interface between customers and Schrodinger software developers, sales, and marketing. Responsibilities include engaging in scientific discussions with customers, giving presentations at conferences, demonstrating optimal use of the software, and providing customer training. Collaborative projects with customers, presentations at scientific meetings, and publication is encouraged. Applications Scientists gain familiarity with our entire suite of structure-based and ligand-based software, including packages for docking, molecular simulations, homology modeling, pharmacophore modeling, cheminformatics, and quantum mechanics. A strong background in molecular modeling and computational chemistry with application to biological problems is highly desired. Exceptional communication skills, an outgoing personality, and a willingness to travel are required. Requirements: - Ph.D. in computational chemistry or biophysics plus experience with pharmaceutical applications of molecular modeling software tools - Excellent interpersonal, communication, and organizational skills - Strong problem-solving ability - A broad knowledge of molecular modeling theory and applications - Ability to conduct independent research Preferred: - Post-doctoral research and/or relevant experience in the commercial sector - Python programming experience Schrodinger is an equal opportunity employer.
Please visit our website at: www.schrodinger.com/careers .
We are looking to recruit a Senior Scientist/Principal Scientist for the Compound Safety Prediction group (CSP). The CSP group develops and applies computational modeling techniques (for physico chemical properties, structure activity relationships and biological pathways) in concert with mechanism-based screening tools (cell based, in vivo "biosensors" and high content biology platforms) to help select the safest chemical substrate. Underpinning all of this is a scientific focus on identifying and characterizing broad underlying biological mechanisms associated with undesired toxicity endpoints. This is an exciting new function for Worldwide Research & Development (WRD), with the opportunity to have a very positive and impactful contribution to the quality of our portfolio. This position is for a systems biologist or systems toxicologist to work within the Chemical and Biological Mechanisms Group, where the candidate will help design and conduct research projects to improve our understanding of basic toxicity mechanisms. It will require someone who can put existing high-content results and data into biological context in terms of the molecular pathways and use this to design experiments that would add further understanding or value to the interpretation of the assay results. Such results and data may include high content biology/systems biology platforms and require knowledge and experience of computational approaches for data mining such or pathway mapping. The position will also be expected to make recommendations for follow-on testing to confirm hypotheses or design and execute experimental confirmation of the mechanisms indicated from their analysis.WORK EXPERIENCE: Experience in molecular biology or toxicology with experience in high content data mining / analysis (e.g., ~omics technologies) and multi- parametric data modeling with a background in one or more of the following: Transcriptomics / Gene Expression data sets Proteomics Metabonomics Signal transduction Molecular toxicologyPlease apply on-line at our website, www.pfizercareers.com and search for Job ID 969499.
The Center for Integrative Chemical Biology and Drug Discovery (CICBDD) in the UNC Eshelman School of Pharmacy is engaged in the discovery of small-molecule therapeutics and chemical probes for biomedical research. At the CICBDD, chemists, biologists and computational scientists work closely together in multidisciplinary project teams. More information about the Center can be found at http://www.pharmacy.unc.edu/research/centers/center-for-integrative-chemical-biology-and-drug-discovery. We are currently looking for a creative, independent and highly motivated individual to join our research effort in developing and applying computational approaches to chemical biology and drug discovery. The appointee is expected to perform large-scale data analyses on heterogeneous data sets, such as outputs from molecular dynamics, virtual and biochemical screening experiments. He will make use of state-of-the-art data processing tools (such as R, Matlab, Pipeline Pilot, etc) and develop new advanced methodologies. He will also run virtual screening experiments, contribute to structure-based drug design in close collaboration with medicinal chemists and biologists, and contribute to the development of informatics tools for the Center. The successful candidate will have a Ph.D. degree in Computational Chemistry/ Biology or a related discipline, a demonstrable track record in computer-aided drug design and familiarity with major modeling/simulation software, data analysis and chemoinformatics tools. Computer programming and scientific writing skills will be an asset. This position will report to Professor Dmitri Kireev, Director of Computational Drug Discovery. More information on his research interests, projects, publications and track record can be found at http://www.pharmacy.unc.edu/Directory/kireev.
The position is available immediately. Qualified applicants should send a CV by email to Dr. Kireev at email@example.com and be ready to provide at least 2 reference letters. Applications will be considered until the position is filled.
Friday, 19 October 2012
Two computational/theoretical chemistry PhD positions are available in the Laboratory for Computational Molecular Design headed by Prof. Clemence Corminboeuf at the Swiss Federal Institute of Technology (EPFL, Lausanne). The PhD fellowships are available in the framework of the ERC-Starting Grant (project COMPOREL)awarded to C. Corminboeuf. The objective of the COMPOREL project is to develop a computational screening approach for identifying promising molecular precursors to organic electronics. The candidates should have a Master degree in Chemistry (Theoretical, Physical) or Physics and experience in computational/theoretical chemistry. Knowledge of Linux-/Unix-based computer
systems and Fortran programming languages is desirable. The two fellowships are for 4 years. The annual salaries are roughly 50,000 CHF.
PhD positions at EPFL require acceptance in the doctoral program of Chemistry and Chemical Engineering. Interested candidates should fill an application at: http://phd.epfl.ch/edch For detailed information on the projects, interested candidates are encouraged to contact Clemence Corminboeuf by email at firstname.lastname@example.org and include a CV, a brief description of research interests.