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Postdoctoral Fellow: Machine Learning to Predict Cardiovascular & Renal Outcomes

Location Gaithersburg, Maryland, United States Job ID R-147230 Date posted 13/12/2022

Postdoctoral Fellow: Machine Learning to Predict Cardiovascular & Renal Outcomes

Gaithersburg (MD) or Boston (MA), US

Competitive Salary, Bonus & Benefits

Are you excited by the potential of machine learning, AI and computational modelling to predict cardiovascular events and renal disease? Do you want to contribute to the development of our clinical trials strategy and help improve patient outcomes? Then this could be the right opportunity for you!

About AstraZeneca:

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 a global leading pharmaceutical company. 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 Programme:

Bring your expertise, apply your knowledge, follow the science, and make a difference. Bring your expertise, apply your knowledge, follow the science, and make a difference. AstraZeneca’s Postdoc Programme is for self-motivated individuals looking to deliver exciting, high-impact projects in a collaborative, engaging and innovative environment. You'll work with multidisciplinary scientific teams from a diverse set of backgrounds and a world-class academic mentor specifically aligned to your project. Our postdocs are respected as specialists, encouraged to speak up, and supported to share their research at conferences, publish papers, achieve their goals and make a difference to our patients.

This is a 3-year programme, with an initial 2-year period and 1 year, merit-based extension.

About the Opportunity:

In this role you will join a team of quantitative clinical pharmacologists and pharmacometricians who work collaboratively with experts across AstraZeneca to push the boundaries of science to deliver life-changing medicines to patients. Together, you’ll advance our research into the use of machine learning, artificial intelligence tools and computational modelling to predict individual long-term risk of major cardiovascular events (MACE) and renal disease.

You’ll analyse AstraZeneca’s data from approximately 180,000 patients in cardiovascular clinical trials. By exploring patient characteristics and short-term biomarker changes you will aim to generate insights and recommend actions that improve treatment selection for patients with diabetes and cardiovascular disease. This is a unique opportunity to make an impact by improving predictions of therapeutic response to different drug classes and characterizing disease progression over time. This research has the potential to help shape AstraZeneca’s cardiovascular and renal disease clinical trials strategy.

Main Duties & Responsibilities:

  • Working with your Supervisors and other Machine Learning / Artificial Intelligence Scientists at AstraZeneca, develop a cardiovascular risk engine using AstraZeneca’s extensive clinical trial databases
  • Validate the risk engine with Real World Data
  • Develop a user-friendly interface for the risk engine
  • Communicate the Risk Engine through publications, presentations, web-sites, etc.

Why You Should Apply:

This exciting research project provides an opportunity to provide a tool to optimize the treatment of patients at risk of major cardiovascular events and provide insights into future more efficient clinical trial designs to bring medicine to patients who need them faster

As well working with AstraZeneca experts, you’ll benefit from the supervision of an Academic supervisor.

Qualification, Skills & Experience:

Essential Requirements

  • A PhD (or equivalent) in a quantitative discipline (e.g., engineering, pharmacometrics, pharmacology, biostatistics, applied mathematics, computational math)
  • Proficient in data analysis, machine learning, and/or computational modelling in R, python or similar software
  • Curiosity about applying quantitative tools to solve clinically-meaningful problems

Desirable

  • Solid understanding of pharmacology and physiology
  • Prior experience in working with clinical data
  • Strong communications skills, including manuscript writing, oral presentations and the ability to communicate technical material to a broad audience
  • Ability to see opportunities, learn, and apply that learning to solve problems and drive innovation
  • Good networking, collaboration and team working skills

Ready for an exciting, rewarding challenge? Apply today!

Advert Opens: 06/09/22

Advert Closes: 10/10/22

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 authorization and employment eligibility verification requirements.

AstraZeneca requires all US employees to be fully vaccinated for COVID-19 but will consider requests for reasonable accommodations as required by applicable law.

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Great culture, great work assignments, supportive management. Rotation opportunity within the company. They value inclusion and diversity.