Senior Scientist – Medical Computer Vision
7 months ago
Do you want to embark on the journey to revolutionize healthcare research through data science and artificial intelligence?
About AstraZeneca
At AstraZeneca, we put patients first and strive to meet their unmet needs worldwide. Working here means being bold, thinking big and working together to make the impossible a reality. If you are swift to action, confident to lead, willing to collaborate, and curious about what science can do, then you’re our kind of person.
BUSINESS AREA
The Oncology Data Science (ODS) organization has recently been established to centralize data, engineering, analytics, and AI expertise to lead the early and late Oncology drug development portfolio with data science-driven insights. The team comprises multiple groups across the Cambridge UK, Boston MA, Gaithersburg MD, Munich DE, Barcelona SP sites. ODSP develops technology, software, and data infrastructure to advance our Oncology data science. Our vision is to evolve data science into a driver of innovation within Oncology. We do this by crafting a strategic culture that values our data as a true business asset, organizing our data so that it’s accessible and easy to find, integrated, and re-usable for Humans & AI, and building the best data computational tools to support scientific decision making .
ODSP is looking for a “Senior Scientist - Medical Computer Vision” to specialize in the development of advanced medical image-based statistical and machine learning models for non-invasive clinical endpoint modeling. This role will sit within the Radiomics & Computer Vision team with heavy emphasis on interacting with early and late-stage oncology development teams, clinical trial teams and other collaborators involved in the development of the solution.
What you will do
The “Senior Scientist - Medical Computer Vision” will apply their subject matter expertise to develop state-of-the-art solutions for non-invasive endpoint modelling. The Senior Scientist will work to leverage foundational and cutting-edge techniques to manipulate and process medical image data, in combination with business domain knowledge, to develop and apply advanced modelling algorithms ( classification, regression, clustering, graph theory and more) to generate business and scientific insights. The role will work within defined project scope and solutions aligned to established governance frameworks and policies.
Responsibilities:
• Develop, implement, and support modelling solutions designed to drive the interrogation of datasets for insights in scientific and business application areas within defined project scope. This includes integrating data from multiple different sources and modalities and includes the application of specialized approaches in image analysis, classification, regression, clustering, graph theory and/or other techniques.
• Researching and developing predictive models and computational methods to guide decision-making within project parameters and established approaches.
• Present or publish findings for conferences and in peer reviewed journals.
• Builds effective relationships with established range of stakeholders to ensure utilization and value of information resources and services. Clearly and objectively communicate results, as well as their associated uncertainties and limitations within agreed frameworks.
• Work effectively with cross-functional teams to execute defined solutions that drive value to AstraZeneca.
• Develop, maintain, and apply ongoing knowledge and awareness in trends, standard methodology and new developments in analytics and data science
• Implement good working practices to ensure that data science work is delivered to robust quality standards and aligned to defined governance frameworks and policies
Collaborates in a multidisciplinary environment with world leading clinicians, data scientists and statisticians, biological experts, clinical trial delivery teams, and IT professionals.
Education, Qualifications, Skills and Experience
Essential for the role:
PhD in Bio-Medical/Electrical Engineering or Masters with over 3 years of experience in the industry working with a strong understanding of medical image analysis. Demonstrated experience with a sound understanding of a variety of statistical and machine learning methods and standard statistical/ML development practices and a desire to continue to learn and develop these skills. Practical software development skills in standard data science tools: Python, R with demonstrable knowledge of good coding practices. Strong track record of publications in quality conferences and journals. Strong communication skills: ability to present compelling cases to collaborators and operate dynamically to identify solutions. Ability to work effectively within a team.Desirable for the role:
Experience with different medical imaging modalities – Computed Tomography (CT), Magnetic Resonance Imaging (MRI), Positron Emission Tomography (PET), etc. Experience working with MONAI tooling. Experience within the life sciences industry. Sophisticated statistical and machine learning models such as hierarchical mixed Bayesian models, vision transformers, longitudinal data analysis.Why AstraZeneca?
At AstraZeneca when we see an opportunity for change, we seize it and make it happen, because any opportunity no matter how small, can be the start of something big. Delivering life-changing medicines is about being entrepreneurial - finding those moments and recognising their potential. Join us on our journey of building a new kind of organisation to reset expectations of what a bio-pharmaceutical company can be. This means we’re opening new ways to work, pioneering cutting edge methods, and bringing unexpected teams together. Interested? Come and join our journey.
So, what’s next?
If you’re curious to know more, please submit your resume and apply. We welcome your application and give you feedback in a timely manner.
Competitive salary and benefits package on offer.
The successful candidate will have access to a flexible employee benefits fund, including holiday purchase and flexible time off, pension contributions, Share Save plans, A performance recognition scheme and a competitive, generous remuneration package.
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