https://careers.astrazeneca.com/job/waltham/machine-learning-to-predict-cv-and-renal-outcomes/7684/16098217
Applications are invited for the post-doctoral fellowship opportunity described
below in the Astrazeneca Clinical Pharmacology & Quantitative Pharmacology
department
Machine Learning to Predict CV and Renal Outcomes
Locations: Waltham, Massachusetts, United States or Gaithersburg, Maryland,
United States
Job ID R-080721
Date posted 07/30/2020
https://astrazeneca.wd3.myworkdayjobs.com/Emerging-Talent/job/US---Gaithersburg---MD/Machine-Learning-to-Predict-CV-and-Renal-Outcomes_R-080721-1
Do you want your work to truly make a difference?
About the Postdoc Program:
We're currently looking for talented scientists to join our innovative
academic-style Postdoc. From our center in Gaithersburg, MD or Waltham, MA,
you'll be in a global pharmaceutical environment, contributing to live projects
right from the start. You'll take part in a comprehensive training program,
including a focus on drug discovery and development, given access to our
existing Postdoctoral research, and be encouraged to pursue your own
independent research working with cutting edge Machine Learning/Data Science
tools.
What's more, you'll have the support of a leading academic advisor, who'll
provide you with the guidance and knowledge you need to develop your career.
This is an exciting area that hasn't been explored to its full potential,
making this an opportunity to make a real difference to the future of medical
science.
About the Opportunity:
We will use artificial intelligence tools and computational modelling to
predict individual long-term risk of major CV events (MACE) and renal disease
based on patient characteristics and short-term biomarker changes in a very
large combined database of AstraZeneca's cardiovascular outcomes trials
(patient-level data for ~180 000 individuals). This will facilitate treatment
selection for patients with diabetes and cardiovascular disease by identifying
characteristics that predict therapeutic response or non-response to different
drug classes, inform patient selection and outcome definitions for future CV
and renal outcomes trials, and characterize disease progression over time.
If this sounds like you, apply now!
Essential Education and Experience:
* A PhD and/or a recent Postdoctoral fellowship in a quantitative
discipline (pharmacometrics, engineering, pharmacology, computational biology,
applied math, or related)
* Success demonstrated by scientific publications and conference
presentations
* Interest in applying quantitative tools to solve clinically-meaningful
problems
Desirable Qualifications:
* Working knowledge of biology and physiology
* Experience working with clinical data
Skills and Capabilities:
* Proficiency and hands-on experience with data analysis, machine learning,
and/or computational modelling in R or similar software
* Ability to communicate technical material to a broad audience
* Proven track record of effectively working independently, as well as
within a team, to achieve results
This is a 2-year program, which will be based in Gaithersburg, MD or Waltham
(Boston), MA with a competitive salary/benefits on offer
About AstraZeneca
AstraZeneca is a global, innovation-driven biopharmaceutical business that
focuses on the discovery, development and commercialization of prescription
medicines for some of the world's most serious diseases. But we're more than
one of the world's leading pharmaceutical companies. At AstraZeneca, we're
proud to have a unique workplace culture that inspires innovation and
collaboration. Here, employees are empowered to express diverse perspectives -
and are made to feel valued, energized and rewarded for their ideas and
creativity.
Chris Penland, PhD
Clinical Pharmacology & Quantitative Pharmacology
__________________________________________
AstraZeneca
R&D | Clinical Pharmacology & Safety Sciences
35 Gatehouse Dr, Waltham, MA USA 02451
T: +1 781 839 4618 M: +1 617 275 3769
[email protected]<mailto:[email protected]>
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