Head of Data Science, Early CVRM
Are you a Data Science, Artificial Intelligence (AI) and Machine Learning(ML) expert that would like to be a leading player in AstraZeneca’s digital transformation? Would you like to make a true difference in patient lives by positioning data science, ML and AI at the heart of drug discovery? Then you might be interested in joining us to lead thedata driven discovery and development of future medicines in cardiovascular, renal and metabolism (CVRM) disease!
At AstraZeneca we follow the science and turn ideas into life changing medicines. Working here means being entrepreneurial, thinking big and working together to make the impossible a reality. Accelerated efforts within AI, data and digital science is key focus in AstraZeneca’s strategic journey into the future. We are thus making significant investment in an array of new computing platforms to enable scientific data and powerful analysis tools to be at the fingertips of our data scientists.
What’s in it for you?
The role as Head of Data Science, Early CVRM will give you the opportunity to build, lead and develop a center of excellence for data science and AI expertise within Cardiovascular, Renal and Metabolism (CVRM), one of AstraZeneca’s main therapy areas. You will be a key player in the global AstraZeneca data science community impacting identification, development and implementation of cutting-edge advances in the various fields of data science, AI, ML, Augmented drug discovery and Knowledge Management. You will also have the opportunity to demonstrate scientific leadership through high quality publications, conference presentations and by building networks and collaborations with key opinion leaders and academic groups. You will be at the forefront of Data science, driving innovation and scientific excellence within drug discovery to make a difference for our patients. The role is at Director or Senior Director level depending on your experience.
Who are you?
With a PhD in a relevant area e.g. computer science, statistics, data science, machine learning, genetics or other quantitative sciences, you have an understanding of the identification and progression of drug targets through drug discovery and clinical development. You are a true leader that have experience in leading impactful data science projects and teams combined with ability to drive a vision and concrete plans for the identification of drug targets using cutting edge computational approaches. At AstraZeneca you will fit right in if you thrive on team work in a multidisciplinary environment, networking, communication and the ability to influence both people and science.
Would you like some more details about the role before applying?
As head of Data Science within early CVRM, you will lead the adoption and implementation of AI, machine learning and data science in key areas such as next generation ‘omics, imaging, clinical and real world evidence data. Both through internal scientific development and external collaborations with world leaders in data science, AI and ML. You work closely with R&D Head of Data Science and AI to drive innovation and scientific excellence in the area. You will report to the Head of CVRM Translational Science and Experimental Medicine (TS&EM) and you will be part of the TS&EM leadership team. You can be located at either of AstraZeneca’s vibrant R&D sites in Gothenburg Sweden or Cambridge UK.
We would like to know more about you. If you are interested, apply now!
We welcome your application no later than January 26, 2020. Thank You!
Our Cambridge site: https://www.astrazeneca.com/our-science/cambridge.html
Our Gothenburg site: https://www.astrazeneca.com/our-science/gothenburg.html
Culture and atmosphere of the Gothenburg site: https://www.linkedin.com/feed/update/urn:li:activity:6496327311678410752/
Life in Gothenburg and Sweden: https://www.movetogothenburg.com/
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.