Job Description:
The Systems Modelling and Translational Biology department, in collaboration with the Department of Pharmacological Sciences at the Icahn School of Medicine at Mount Sinai, is seeking a joint post doctoral fellow for Quantitative Systems Pharmacology (QSP) scientists/engineers passionate about using advanced mathematical modeling and computational sciences to develop mechanistic models of disease and their applications in decision making during discovery and development of new drugs. The post-doctoral fellow will be involved in developing and validating a QSP model for immunology and oncology or related disease areas to serve as a platform for guiding projects during drug discovery and development by assisting target selection, providing inputs into clinical trial design, and identifying prognostic or predictive biomarkers, potentially resulting in reduced attrition and shortened development time for our R&D assets. This position offers an exciting opportunity to make a difference in the lives of patients by applying mechanism based mathematical modelling coupled with computational science and biological knowledge to drug discovery and development. The joint appointment will offer the successful candidate an opportunity to learn both the academic and industrial perspectives of drug discovery and development. Basic qualifications: Ph.D. degree and/or a M.D./Ph.D. in chemical, mechanical or biomedical engineering, biochemistry, physics, applied mathematics, bioinformatics, scientific computing or related field • Experience building and using Quantitative Systems Pharmacology/Toxicology models. • Core competency in numerical analysis focusing on differential equations and at least some experience in one of: finite element, computational fluid dynamics, numerical optimization, agent based modeling, stochastic differential equations, advanced image analysis. • Experience at building solving and using mathematical models to integrate available data and applying these to answer practical questions and have a positive impact on projects. • Scientific computing and programming . • Familiarity with the challenges of drug discovery and forward thinking with respect to the general application of mathematical models in discovery and development. • Demonstrate scientific curiosity, learning agility, critical thinking skills, troubleshooting and problem solving skills. • Must e a team player. Demonstrate collaborative behaviours both within the computational community and with the collaborating groups or customers. • Ability to understand, interpret, and communicate complex scientific data. • Strong communication skills. Excellent written and oral skills and the ability to interact effectively with scientists in other disciplines with a positive, collegial, collaborative attitude. • Must be comfortable conversing with opinion leaders regarding highly technical information. • Must be a self-starter able to handle multiple projects concurrently and be productive and successful in an intense work environment. Preferred qualifications: • Experience in Matlab, Simbiology and Comsol preferred. • Experience in immunology and/or oncology. • Knowledge and understanding of drug delivery, absorption, distribution and metabolism, pharmacology and toxicology, PK/PD modeling, physiological based modeling, systems biology, data analysis desired.
Additional Info:
Be part of cutting edge science to advance GSK’s mission ‘to improving the quality of human life by enabling people to do more, feel better, and live longer’ Accelerate your post-doctoral research with GSK’s extensive R&D engine Bridge the gap from target identification to medicine for patients in-need Tools -Technologies -Libraries -Samples -People / Knowledge Base / Training Postdoctoral research will be focused on addressing the critical R&D challenges that have been selected as optimal areas of science for post-doctoral training By joining us for your post-doctoral training, you will be prepared for a career in industry, academia, or a regulatory organization as well as an opportunity to put yourself at the forefront of science. Your Postdoctoral journey will be accompanied by tremendous support at GSK. Here, you'll thrive through daily collaborations with world-class scientists. GSK is committed to providing each postdoc with a mentor who will be a high-caliber scientist within our R&D community. Postdocs are actively encouraged to present their research at internal and external meetings, and mentors are expected to nurture skills that will enable postdocs to become independent scientific investigators. The Systems Modelling and Translational Biology group offers a dynamic and multidisciplinary environment that empowers members to use mathematical modelling and simulation to address the relationships between drug properties, its disposition and the pharmacological and toxicological response translating between in-vitro, in-vivo preclinical species and human. This involves the integration and interpretation of data from many sources to help drive project decisions. Contact information: You may apply for this position online by selecting the Apply now button. If you require an accommodation or other assistance to apply for a job at GSK, please contact the GSK HR Service Centre at 1-877-694-7547 (US Toll Free) or +1 801 567 5155 (outside US). GSK is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK’s compliance to all federal and state US Transparency requirements. For more information, please visit GSK’s Transparency Reporting For the Record site. Location: King of Prussia, Pennsylvania[Click Here to Access the Original Job Post]
The Systems Modelling and Translational Biology department, in collaboration with the Department of Pharmacological Sciences at the Icahn School of Medicine at Mount Sinai, is seeking a joint post doctoral fellow for Quantitative Systems Pharmacology (QSP) scientists/engineers passionate about using advanced mathematical modeling and computational sciences to develop mechanistic models of disease and their applications in decision making during discovery and development of new drugs. The post-doctoral fellow will be involved in developing and validating a QSP model for immunology and oncology or related disease areas to serve as a platform for guiding projects during drug discovery and development by assisting target selection, providing inputs into clinical trial design, and identifying prognostic or predictive biomarkers, potentially resulting in reduced attrition and shortened development time for our R&D assets. This position offers an exciting opportunity to make a difference in the lives of patients by applying mechanism based mathematical modelling coupled with computational science and biological knowledge to drug discovery and development. The joint appointment will offer the successful candidate an opportunity to learn both the academic and industrial perspectives of drug discovery and development. Basic qualifications: Ph.D. degree and/or a M.D./Ph.D. in chemical, mechanical or biomedical engineering, biochemistry, physics, applied mathematics, bioinformatics, scientific computing or related field • Experience building and using Quantitative Systems Pharmacology/Toxicology models. • Core competency in numerical analysis focusing on differential equations and at least some experience in one of: finite element, computational fluid dynamics, numerical optimization, agent based modeling, stochastic differential equations, advanced image analysis. • Experience at building solving and using mathematical models to integrate available data and applying these to answer practical questions and have a positive impact on projects. • Scientific computing and programming . • Familiarity with the challenges of drug discovery and forward thinking with respect to the general application of mathematical models in discovery and development. • Demonstrate scientific curiosity, learning agility, critical thinking skills, troubleshooting and problem solving skills. • Must e a team player. Demonstrate collaborative behaviours both within the computational community and with the collaborating groups or customers. • Ability to understand, interpret, and communicate complex scientific data. • Strong communication skills. Excellent written and oral skills and the ability to interact effectively with scientists in other disciplines with a positive, collegial, collaborative attitude. • Must be comfortable conversing with opinion leaders regarding highly technical information. • Must be a self-starter able to handle multiple projects concurrently and be productive and successful in an intense work environment. Preferred qualifications: • Experience in Matlab, Simbiology and Comsol preferred. • Experience in immunology and/or oncology. • Knowledge and understanding of drug delivery, absorption, distribution and metabolism, pharmacology and toxicology, PK/PD modeling, physiological based modeling, systems biology, data analysis desired.
Requeriments :
Skills :
Additional Info:
Be part of cutting edge science to advance GSK’s mission ‘to improving the quality of human life by enabling people to do more, feel better, and live longer’ Accelerate your post-doctoral research with GSK’s extensive R&D engine Bridge the gap from target identification to medicine for patients in-need Tools -Technologies -Libraries -Samples -People / Knowledge Base / Training Postdoctoral research will be focused on addressing the critical R&D challenges that have been selected as optimal areas of science for post-doctoral training By joining us for your post-doctoral training, you will be prepared for a career in industry, academia, or a regulatory organization as well as an opportunity to put yourself at the forefront of science. Your Postdoctoral journey will be accompanied by tremendous support at GSK. Here, you'll thrive through daily collaborations with world-class scientists. GSK is committed to providing each postdoc with a mentor who will be a high-caliber scientist within our R&D community. Postdocs are actively encouraged to present their research at internal and external meetings, and mentors are expected to nurture skills that will enable postdocs to become independent scientific investigators. The Systems Modelling and Translational Biology group offers a dynamic and multidisciplinary environment that empowers members to use mathematical modelling and simulation to address the relationships between drug properties, its disposition and the pharmacological and toxicological response translating between in-vitro, in-vivo preclinical species and human. This involves the integration and interpretation of data from many sources to help drive project decisions. Contact information: You may apply for this position online by selecting the Apply now button. If you require an accommodation or other assistance to apply for a job at GSK, please contact the GSK HR Service Centre at 1-877-694-7547 (US Toll Free) or +1 801 567 5155 (outside US). GSK is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK’s compliance to all federal and state US Transparency requirements. For more information, please visit GSK’s Transparency Reporting For the Record site. Location: King of Prussia, Pennsylvania[Click Here to Access the Original Job Post]