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AstraZeneca looking for Senior Scientist Translational

 

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AstraZeneca looking for Senior Scientist Translational

AstraZeneca contributes meaningfully to the UK beyond the provision of our medicines and the benefits they provide to the health of the nation. We commissioned a report in 2009 to measure our significant investment to the UK economy, which includes investment in jobs and wealth creation. Oxera, an independent economic consultancy provided the analysis for this report.

Post : Senior Scientist Translational PKPD

Job Description
As a Senior Scientist Translational PKPD  you will have the opportunity to drive strategy and provide global leadership in PKPD science on Antibody drug conjugates and Radio immuno-conjugates.
Your day-to-day role is to provide projects with specialist modeling input into exploring the PK/PD/Efficacy in pre-clinical models, and using these models in order to iteratively build an understanding of the dose & schedule requirements for therapeutic intervention across different patient populations as a single agent and combined with other agents.

Other Responsibilities :
• Representing Translational PKPD group and providing overall scientific leadership for cross functional and external collaborations involving DMPK.
• Exploring the effects on target and pathway to understand the requirements for efficacy and set a candidate drug target profile (CDTP).
• Predicting human dose and regimen together with providing input into exposure and pharmacodynamic (PD) biomarker based decision criteria for early clinical trials.
• Driving learning through back translation of early clinical exposure and PD data and providing prioritized future options for clinical testing.
• Leading and participating in Oncology strategic scientific initiatives and continuous improvement projects by providing expert M&S knowledge.
• Having a breadth of influence and impact across AstraZeneca Clinical Pharmacology and externally within their discipline.
• Identifying, championing and developing new ideas.
• Leading scientific discipline networks and acting as a focus for debate within the AstraZeneca scientific community.
• Advising on and participating in the development of Discovery or Development strategies in PKPD.
• Managing student and Post Doc programmes.
• Leading external collaborative projects with academic or cross-pharma pre-competitive groups.
• Providing disciplinary scientific leadership and presenting work through patents, publications and lectures.


Candidate Profile
• Education:  PhD, Finishing PhD, Masters with at least 3 years of experience or equivalent degree in a discipline with a significant component of Modeling & Simulation, such as systems biology, quantitative pharmacology, pharmacometrics, chemical engineering, physics, pharmaceutical sciences or applied mathematics.
• 0-4 years of experience in a discipline with a significant component of Modeling & Simulation, such as systems biology, quantitative pharmacology, pharmacometrics, chemical engineering, physics, pharmaceutical sciences or applied mathematics.
Desirable :
• Relevant industry experience in Modeling & Simulation, ideally in preclinical/translational setting with a focus on ADC or RIC, or a MS degree with proven industry experience.
• Experience in a project-facing role within pharmaceutical R&D.
• Comprehensive understanding of DMPK and pharmacology/safety aspects of drug discovery and development with a strong publication record.
• Track record of supporting PK, PKPD and TKPD aspects of projects, with a delivery focus and ability to meet timelines to prespecified quality and cost.
• Specialist in tools such as WinNonLin/Phoenix NLME, NonMem, Berkeley Madonna, MATLAB, and SimCYP.
• Excellent interpersonal and communication skills coupled with strong influence and leadership skills.
• Providing disciplinary scientific leadership and presenting work through patents, publications and lectures.

Additional Information
Qualification : PhD, Finishing PhD, Masters
Location : US - Waltham - MA
Industry Type : Pharma/ Healthcare/ Clinical research
End Date : 04-Feb-2024


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