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Postdoc Fellow: Antibody drug conjugate systems Modeling

Location Buffalo, New York, United States Job ID R-127359 Date posted 06/01/2022

Location: University at Buffalo, NY (US)

Competitive Salary, Bonus & Benefits

Bring your expertise, apply your knowledge, follow the science and make a difference.

AstraZeneca is a global, science-led, patient-centered biopharmaceutical company that focuses on the discovery, development and commercialization of prescription medicines for some of the world’s most serious disease. But we’re more than one of the world’s leading pharmaceutical companies. At AstraZeneca, we 're dedicated to being a Great Place to Work where you are empowered to push the boundaries of science and fuel your entrepreneurial spirit. There’s no better place to make a difference to medicine, patients and society.

About the Postdoc Program

AstraZeneca’s Postdoc Program is for self-motivated individuals looking to tackle exciting, high impact projects in a collaborative, engaging and innovative environment. You'll work with peers and professionals from a diverse group of backgrounds, and a world class academic mentor specifically aligned to your project. We'll help you develop valuable networks which support your research and future career development!

AstraZeneca Postdocs are respected as specialists and encouraged to speak up. They lead ground-breaking drug discovery and development research projects. Our vibrant, multi-disciplinary scientific teams empower and support our Postdocs, and we encourage them to share their research at conferences, publish papers, achieve their goals and make a difference to our patients.

You'll learn from industry leaders working on innovative research across our organization. Our Postdoc Training Programme will support you to develop transferrable skills from influencing others to shape the agenda, to data analysis.

About the Opportunity

Working with Dr. Dhaval K. Shah, Associate Professor at the University at Buffalo and Dr. Holly Kimko, Global Head Systems Medicine, develop novel in silico approaches to support preclinical-to-clinical translation of antibody-drug conjugates (ADC) and prediction of their clinical therapeutic index.

You’ll explore the relationship between the discovery of a variety of ADC analytes and subsequent molecular changes that leads to desired and undesired pharmacology of ADCs. You will integrate in-house and published multi-scale experimental data using mathematical framework to develop in silico tools.

In charge of developing whole-body and cellular PBPK models for ADCs and payloads. Then, integrate these models with multi-scale toxicodynamic models to describe molecular, cellular, and organ level toxicities of ADCs. The PBPK/Toxicodynamic models will be combined with the efficacy models to support clinical dose optimization.

You will own the development and in-house evaluation of a range of ADCs that demonstrate diverse mechanism-of-action. You will also lead the analysis and interpretation of published and in-house cellular and in vivo exposure-response data generated using diverse ADCs. Our ambition is for you to publish this research in high impact journals and share your findings via conference presentations at both national and international level.

Qualification, Skills & Experience:

Required:

  • PhD or postdoc with technical expertise in in-vitro/in-vivo experiments and mathematical modeling

  • Proficient in programming languages such as R, MATLAB, Python

  • Passion for exploring innovative approaches to integrate experimental data from diverse experiments to support drug development activities.

  • Keen to exploit PK/PD models, machine learning, and artificial-intelligence techniques to solve translational challenges associated with antibody-drug conjugates

  • Highly organized

  • Ability to find opportunities, learn, and apply that learning

Desirable:

  • Hands on experience with making ADCs and evaluation of their pharmacology in cells and animals.

  • Sound understanding of basic PK/PD and Pharmacology/Toxicology principles

  • Familiarity with utilization of bioinformatic tools to analyze proteomic data.

  • Skilled in using mathematical modeling software relevant for deterministic and probabilistic modeling work.

  • Prior experience of working on cross-disciplinary/ global project teams.

  • Strong publication record.

Where to find out more?

Prof. Dhaval Shah:http://pharmacy.buffalo.edu/content/pharmacy/faculty-staff/faculty/faculty-profile.html?ubit=dshah4

Holly Kimko: https://www.linkedin.com/in/holly-kimko-phd-faaps-05973828/ 

Ready for an exciting, rewarding challenge? Apply today!

Advert Opens: January 7th

Advert Closes: February 8th

AstraZeneca has taken critical steps to protecting colleagues, loved ones, and patients from COVID-19 and its variants. COVID-19 vaccination is required for all US employees, and weekly PCR COVID-19 testing is required for those who are unvaccinated or have an approved accommodation.



AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorisation and employment eligibility verification requirements.

50056739 C SCGE R&D BioPharmaceuticals

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