Post Doctoral Fellow - RAS Initiative - Computational Ligand (Drug) Discovery

Employer
Frederick National Laboratory
Location
Frederick, MD
Posted
Jan 13, 2022
Closes
Jan 16, 2022
Ref
311970267
Function
Accountant, IT
Industry
Science
Hours
Full Time
Post Doctoral Fellow - RAS Initiative - Computational Ligand (Drug) DiscoveryJob ID: req2222Employee Type: exempt full-timeDivision: Cancer Research Technology ProgramFacility: ATRF: OtherLocation: 8560 Progress Drive, Frederick, MD 21701 USAThe Frederick National Laboratory is a Federally Funded Research and Development Center (FFRDC) sponsored by the National Cancer Institute (NCI) and operated by Leidos Biomedical Research, Inc. The lab addresses some of the most urgent and intractable problems in the biomedical sciences in cancer and AIDS, drug development and first-in-human clinical trials, applications of nanotechnology in medicine, and rapid response to emerging threats of infectious diseases.Our core values of accountability, compassion, collaboration, dedication, integrity, and versatility serve as a guidepost for how we do our work every day in serving the public's interest.Position Overview:PROGRAM DESCRIPTIONThe Cancer Research Technology Program (CRTP) develops and implements emerging technology, cancer biology expertise and research capabilities to accomplish NCI research objectives. The CRTP is an outward-facing, multi-disciplinary hub purposed to enable the external cancer research community. A major focus of the CRTP is the NCI RAS Initiative with the goal to discover new therapeutic interventions against RAS-driven cancers. In addition, the CRTP hosts the Nanotechnology Characterization Laboratory (NCL) which performs and standardizes preclinical efficacy and toxicity testing of nanoparticles intended for cancer therapeutics and diagnostics, and the Antibody Characterization Lab (ACL) which characterizes monoclonal antibodies or other renewable affinity binding reagents for use in cancer related research. CRTP scientists also work collaboratively with intramural NCI investigators to provide research technologies and expertise.KEY ROLES/RESPONSIBILITIESThe Postdoctoral Fellow will:Work closely with a highly collaborative multidisciplinary team of chemists, biochemists, biophysicists, and cell and structural biologists at the NCI RAS Initiative to develop and optimize small molecules for use as RAS inhibitorsWork as a member of the RAS Computational Chemistry teamElucidate RAS-RAS interfaces, identify pockets at these interfaces, perform computational ligand discovery (screening large virtual databases of hundreds of millions of small molecules using docking software) to identify molecules that stabilize these interfacesOptimize hits using computational methods including Chemical informatics methods and Free-Energy calculationsPreform experimental assays to test hits in the wet lab (or work closely with an experimental collaborator)Present research findings within the group and at national meetings and publish findings in peer reviewed journalsBASIC QUALIFICATIONSTo be considered for this position, you must minimally meet the knowledge, skills, and abilities listed below:Possession of a PhD degree from an accredited college or university according to the Council for Higher Education Accreditation (CHEA) in computational chemistry or related field. Foreign degrees must be evaluated for US equivalencyNo work experience required with a Doctorate degreeAbility to obtain and maintain a security clearancePREFERRED QUALIFICATIONSCandidates with these desired skills will be given preferential consideration:Expertise in structure-based drug design methods, eg virtual screening, molecular docking, molecular dynamics simulations, free energy calculations, and/or cheminformatics methodsExpertise in molecular modelling, docking, and/or molecular dynamics software, eg UCSF DOCK, Autodock, Schrodinger package, Amber, NAMDKnowledge of scripting and computer languages, eg Python, Unix shell, R, C++, Fortran.Experience of working with RAS/small GTPasesKnowledge of membrane, and experience with preforming simulations of membranesKnowledge of biochemical and biophysical techniques (SPR, ITC, LC-MS etc.) to characterize protein-small molecule binding interactionsGood written and oral communications skillsMust be collaborative, self-motivated, and able to work effectively as part of a multidisciplinary teamEqual Opportunity Employer (EOE) | Minority/Female/Disabled/Veteran (M/F/D/V) | Drug Free Workplace (DFW)#readytowork

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