AstraZeneca
Associate Director Data Scientist, Clinical Trial Research - Evinova
AstraZeneca, Waltham, Massachusetts, United States, 02254
Evinova
Evinova is a health-tech business, accelerating the delivery of better health outcomes by propelling the life sciences sector forward in digital health, from the inside. Through our application of science-based expertise, evidence-led rigour, and human experience-driven insight, our digital solutions are deliberately designed so that everyone can reach better health outcomes together. Evinova is a health-tech business within the AstraZeneca Group.
The Human-centered AI team in Digital Health Oncology R&D is looking for an Associate Director of Data Science to specialize in the development of novel digital endpoints using data science, statistical learning, and innovative machine learning methods on multi-modal datasets including clinical data, real world evidence, imaging, wearables, and other biomedical data sources to address patient burden. This role will sit within the Digital Therapeutics, Diagnostics and Endpoints team with a heavy emphasis on interacting with the Therapeutic Areas, clinical trial teams and other collaborators in the product development cycle. Applicants should have a solid base in statistics and machine learning, detailed knowledge of the clinical trials space in the pharmaceutical industry and experience maintaining a portfolio of machine-learning enabled projects.
Responsibilities:
Drives projects with hands-on data science, analysis, or mathematical modeling.Delivers sophisticated data science solutions to AstraZeneca projects, selecting analytical methods with appropriate complexity given a clinical or business challenge.Engages technical and non-technical collaborators within the wider organization to frame sophisticated challenges, structure analytical solutions, and communicate results.Independently keeps own knowledge up to date and learns from senior team members, proposing appropriate training courses for personal development.Reviews working practices and ensures non-compliant processes are raised.Collaborates in a multidisciplinary environment with world leading clinicians, data scientists, biological experts, statisticians and IT professionals.Essential Requirements:
B.Sc. in a relevant field (such as mathematics, computer science, engineering) with 4+ years of industry experience (or equivalent experience in academic research).Demonstrated experience with and a sound understanding of a variety of statistical and machine learning methods and standard statistical/ML development practices.Practical software development skills in standard data science tools: Python, Agile, code versioning, UNIX skills, familiarity working in cloud environment and high-performance computing clusters.Knowledge of range of mathematical and statistical modelling techniques.Strong communication, business analysis, and consultancy skills; ability to present compelling cases to collaborators and operate dynamically to determine solutions.Desirable Requirements:
Advanced degree in rigorous quantitative science (such as mathematics, computer science, engineering).Sophisticated statistical and machine learning models such as hierarchical mixed bayesian models, transformer-based NLP models, reinforcement learning, deep learning models that span CNN/RNN/LSTM, GNNs, constrained optimization, innovative time series & forecasting models.Experience within the life sciences industry.Why Evinova (AstraZeneca)?
Evinova draws on AstraZeneca’s deep experience developing novel therapeutics, informed by insights from thousands of patients and clinical researchers. Together, we can accelerate the delivery of life-changing medicines, improve the design and delivery of clinical trials for better patient experiences and outcomes, and think more holistically about patient care before, during, and after treatment. Evinova represents a unique opportunity to deliver meaningful outcomes with digital and AI to serve the wider healthcare community and create new standards for the sector. Join us on our journey of building a new kind of health-tech business to reset expectations of what a bio-pharmaceutical company can be.
So, what’s next?
Are you already imagining yourself joining our team? Good, because we can’t wait to hear from you.
Where can I find out more?
Follow AstraZeneca on LinkedIn:
LinkedIn , Facebook:
Facebook , Instagram:
Instagram .#J-18808-Ljbffr
Evinova is a health-tech business, accelerating the delivery of better health outcomes by propelling the life sciences sector forward in digital health, from the inside. Through our application of science-based expertise, evidence-led rigour, and human experience-driven insight, our digital solutions are deliberately designed so that everyone can reach better health outcomes together. Evinova is a health-tech business within the AstraZeneca Group.
The Human-centered AI team in Digital Health Oncology R&D is looking for an Associate Director of Data Science to specialize in the development of novel digital endpoints using data science, statistical learning, and innovative machine learning methods on multi-modal datasets including clinical data, real world evidence, imaging, wearables, and other biomedical data sources to address patient burden. This role will sit within the Digital Therapeutics, Diagnostics and Endpoints team with a heavy emphasis on interacting with the Therapeutic Areas, clinical trial teams and other collaborators in the product development cycle. Applicants should have a solid base in statistics and machine learning, detailed knowledge of the clinical trials space in the pharmaceutical industry and experience maintaining a portfolio of machine-learning enabled projects.
Responsibilities:
Drives projects with hands-on data science, analysis, or mathematical modeling.Delivers sophisticated data science solutions to AstraZeneca projects, selecting analytical methods with appropriate complexity given a clinical or business challenge.Engages technical and non-technical collaborators within the wider organization to frame sophisticated challenges, structure analytical solutions, and communicate results.Independently keeps own knowledge up to date and learns from senior team members, proposing appropriate training courses for personal development.Reviews working practices and ensures non-compliant processes are raised.Collaborates in a multidisciplinary environment with world leading clinicians, data scientists, biological experts, statisticians and IT professionals.Essential Requirements:
B.Sc. in a relevant field (such as mathematics, computer science, engineering) with 4+ years of industry experience (or equivalent experience in academic research).Demonstrated experience with and a sound understanding of a variety of statistical and machine learning methods and standard statistical/ML development practices.Practical software development skills in standard data science tools: Python, Agile, code versioning, UNIX skills, familiarity working in cloud environment and high-performance computing clusters.Knowledge of range of mathematical and statistical modelling techniques.Strong communication, business analysis, and consultancy skills; ability to present compelling cases to collaborators and operate dynamically to determine solutions.Desirable Requirements:
Advanced degree in rigorous quantitative science (such as mathematics, computer science, engineering).Sophisticated statistical and machine learning models such as hierarchical mixed bayesian models, transformer-based NLP models, reinforcement learning, deep learning models that span CNN/RNN/LSTM, GNNs, constrained optimization, innovative time series & forecasting models.Experience within the life sciences industry.Why Evinova (AstraZeneca)?
Evinova draws on AstraZeneca’s deep experience developing novel therapeutics, informed by insights from thousands of patients and clinical researchers. Together, we can accelerate the delivery of life-changing medicines, improve the design and delivery of clinical trials for better patient experiences and outcomes, and think more holistically about patient care before, during, and after treatment. Evinova represents a unique opportunity to deliver meaningful outcomes with digital and AI to serve the wider healthcare community and create new standards for the sector. Join us on our journey of building a new kind of health-tech business to reset expectations of what a bio-pharmaceutical company can be.
So, what’s next?
Are you already imagining yourself joining our team? Good, because we can’t wait to hear from you.
Where can I find out more?
Follow AstraZeneca on LinkedIn:
LinkedIn , Facebook:
Facebook , Instagram:
Instagram .#J-18808-Ljbffr