Job ID: 577851
Job date: 2016-04-23
End Date:
Company : MD Anderson Country : Role : Research Scientist
Job date: 2016-04-23
End Date:
Company : MD Anderson Country : Role : Research Scientist
Job Description:
MD Anderson is known for providing cancer patients with exceptional care, which includes early access to innovative new treatments through clinical trials. The Institute for Applied Cancer Science (IACS) is a new hybrid model that uniquely combines the drug discovery capabilities of the biopharmaceutical industry and the extensive knowledge of biology found in academia with the expertise of MD Anderson's top clinicians. IACS has the singular goal of rapidly developing novel, effective and safe therapeutics that improve patient health. IACS executes programs with the highest probability of clinical success in a rigorous, goal-oriented, data-driven manner. The Institute Research Investigator, Computational Chemistry, participates in cross-functional research helping to discover novel oncology therapeutic agents that benefit patients. By liaising with the IACS medicinal chemistry, structural biology, and drug discovery teams, this individual plays a key role in the identification and optimization of the next generation of cancer therapeutics. KEY FUNCTIONS 1. Apply and develop cutting edge computational chemistry tools and methodologies to enable advancement of Institute projects through leadership and experimental activities. Analyze data generated by various studies and leverage results for the design of future studies. Adapt to new technologies and find solutions to related program studies. 2. Apply molecular modeling, cheminformatics, and structural bioinformatics approaches to support cross-functional oncology project teams in advancing small-molecule drug discovery programs from target identification through lead optimization. 3. Work closely with medicinal chemists and other project team members in the design and optimization of compounds with improved potency, selectivity, and functional activity on their protein target, together with improved ADME properties, using all available computational technologies. 4. Formulate and execute innovative data analysis studies on project compounds and enable the medicinal chemistry team to leverage these results for the design of future compounds. 5. Proactively provide hypothesis driven ideas to address compound potency, on/off-target issues and selectivity, and ADME/PK. 6. Help project teams analyze, interpret and visualize biological and counter screening data. 7. Collaborate with project teams and MDACC structural biologists. 8. Assist in deployment of appropriate hardware/software infrastructure for both expert and desktop tools, including those for computational chemistry, data analysis and visualization of structural and SAR information. source:sonj soid EDCUCATION Required: Bachelor's degree in Biology, Biochemistry, molecular biology, cell biology, enzymology, pharmacology, chemistry or related field. EXPERIENCE Required: Six years experience of relevant research experience in lab. With preferred degree, four years of required experience. Preferred: Strong knowledge of contemporary computational chemistry, including molecular modeling, cheminformatics, and structural bioinformatics. A demonstrated track record of creative and independent problem solving using the latest structure-based design methods, including molecular docking, pharmacophore development, and virtual screening. Experience applying molecular simulations to problems in drug discovery. Strong publication record in peer reviewed journals. Familiarity with MOE and Schrodinger software, Linux/Unix environments, and scripting (SVL, python, etc.). Excellent communication, writing and organizational skills and an ability to work independently. Experience working in a pharma or biotech company, or post-doc in computational chemistry, collaborating with medicinal chemists and structural biologists. It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law. http://www.mdanderson.org/about-us/legal-and-policy/legal-statements/eeo-affirmative-action.html
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MD Anderson is known for providing cancer patients with exceptional care, which includes early access to innovative new treatments through clinical trials. The Institute for Applied Cancer Science (IACS) is a new hybrid model that uniquely combines the drug discovery capabilities of the biopharmaceutical industry and the extensive knowledge of biology found in academia with the expertise of MD Anderson's top clinicians. IACS has the singular goal of rapidly developing novel, effective and safe therapeutics that improve patient health. IACS executes programs with the highest probability of clinical success in a rigorous, goal-oriented, data-driven manner. The Institute Research Investigator, Computational Chemistry, participates in cross-functional research helping to discover novel oncology therapeutic agents that benefit patients. By liaising with the IACS medicinal chemistry, structural biology, and drug discovery teams, this individual plays a key role in the identification and optimization of the next generation of cancer therapeutics. KEY FUNCTIONS 1. Apply and develop cutting edge computational chemistry tools and methodologies to enable advancement of Institute projects through leadership and experimental activities. Analyze data generated by various studies and leverage results for the design of future studies. Adapt to new technologies and find solutions to related program studies. 2. Apply molecular modeling, cheminformatics, and structural bioinformatics approaches to support cross-functional oncology project teams in advancing small-molecule drug discovery programs from target identification through lead optimization. 3. Work closely with medicinal chemists and other project team members in the design and optimization of compounds with improved potency, selectivity, and functional activity on their protein target, together with improved ADME properties, using all available computational technologies. 4. Formulate and execute innovative data analysis studies on project compounds and enable the medicinal chemistry team to leverage these results for the design of future compounds. 5. Proactively provide hypothesis driven ideas to address compound potency, on/off-target issues and selectivity, and ADME/PK. 6. Help project teams analyze, interpret and visualize biological and counter screening data. 7. Collaborate with project teams and MDACC structural biologists. 8. Assist in deployment of appropriate hardware/software infrastructure for both expert and desktop tools, including those for computational chemistry, data analysis and visualization of structural and SAR information. source:sonj soid EDCUCATION Required: Bachelor's degree in Biology, Biochemistry, molecular biology, cell biology, enzymology, pharmacology, chemistry or related field. EXPERIENCE Required: Six years experience of relevant research experience in lab. With preferred degree, four years of required experience. Preferred: Strong knowledge of contemporary computational chemistry, including molecular modeling, cheminformatics, and structural bioinformatics. A demonstrated track record of creative and independent problem solving using the latest structure-based design methods, including molecular docking, pharmacophore development, and virtual screening. Experience applying molecular simulations to problems in drug discovery. Strong publication record in peer reviewed journals. Familiarity with MOE and Schrodinger software, Linux/Unix environments, and scripting (SVL, python, etc.). Excellent communication, writing and organizational skills and an ability to work independently. Experience working in a pharma or biotech company, or post-doc in computational chemistry, collaborating with medicinal chemists and structural biologists. It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law. http://www.mdanderson.org/about-us/legal-and-policy/legal-statements/eeo-affirmative-action.html
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