Associate Director, Data Science
Job Type: Full time
Associate Director, Data Science
Location: Mississauga (Canada), Gaithersburg (USA), Warsaw (Poland), Gothenburg (Sweden )
At AstraZeneca, we harness digital, data science & AI to fast-forward our research. Making sure work born in a lab can make a real difference. Everyday, impacting patients’ lives across the world.
Clinical Data and Insights (CDI) is a function of about 500 people within Development Operations. We work across the R&D portfolio and lead the delivery of clinical data and insights, through simplification, quality by design and collaboration. Our scope includes data management, centralized monitoring, trial safety review, standards, automation & specialist programming, transformational clinical data projects and data capability & operations. Our vision is to transform our clinical data flows and advance data derived insights, to enable acceleration of life changing medicines to patients.
As the Associate Director, Data Science you will be accountable for independently leading highly complex data science projects and/or leading project teams.You will be responsible for design, implementation and maintaining of production search systems/programs applying deep/machine learning and semantic engines over many content types (e.g. natural language, images, clinical data, entities/relationships). Work closely with data mangers and study teams to translate their requirements to products/solutions. Use various blends of analytical, data science and data wrangling skills to assess project objectives, understand the data and system landscape, design, build and deliver end-to-end solutions.
What you'll need to be successful in this role:
Deep understanding of modern vector/embedding-based representation techniques with the ability to design and implement algorithms for their generation
Deep knowledge of Tensorflow/Pytorch frameworks for implementing and optimizing deep learning algorithms for training quality and serving performance
Experience in industry or academic research, particularly in deep learning and neural networks
Strong algorithms, data structures, and coding background with either Python, C++, or Java programming experience
Experience working with knowledge graphs stores (Ontotext GraphDB, Neo4j) and surrounding semantic technology.
Proven experience of agile working practices
Proficient in building dashboards
Good organizational skills and the ability to multitask; set priorities and follow a timeline
Great attention to detail and excellent communications skills
Demonstrated ability to work in a fast-paced environment
Well-versed in leading a cross functional team as well as ability to work independently
Bachelor’s or advanced degree in a Computer Science with proven track record as data scientist (US)
Proficient in data science and AI techniques, including Python, NLP Knowledge Graph, ML algorithms, with an ability to share insights in a powerful way.
In-depth experience in data analysis, profiling, investigating, interpreting and detailing data requirements, e.g. data modelling techniques and hands on modelling experience
Demonstrated data wrangling ability to combine data from disparate sources and generate insights
Acts as a subject matter expert in areas of data wrangling, data mining, data transformation, data visualization and data science and AI techniques, including predictive analytics to enable accelerated set up and conduct of data management activities and to a high-quality
Work closely with key business stakeholders to understand business need and deliver solutions that provides relevant data insights
Leads complex data science projects to generate knowledge and insights from clinical & operational data that help teams pause, reflect and be more efficient/effective in their data review tasks by eliminating non-value-added activities
Liaises closely with DM and programming teams to understand opportunities not covered by conventional data validation checks or data review reports and drives development of cutting-edge data management solutions
Builds effective partnership with data provisioning groups and data science representatives in the organization
Extended member of data strategy meeting chaired by study DM and advise teams on how best to utilize data to reduce redundancies and create efficiencies in data collection and review
Ability to identify business opportunities and discover new solutions that supports DM Leads/DMLT in achieving business objectives and operational efficiencies
Experienced in story telling with ability to communicate methodology and results to an audience of mixed technical backgrounds in an impactful way
Possess strong project management skills to lead an agile team with a value-focused culture
Guide teams to identify optimal model and effective ways to improve algorithms, performance runs, model tuning, experimentation and testing
Support and mentor other team members, may act as line manager
Provides consultancy and training in area of data analysis to other DM team members, including training on novel tools
Contributes to department strategy by acting as subject matter expert (internally and externally) and leading improvement and innovation projects
Solid grasp of applied mathematical, machine learning and AI techniques and workflows
Good understanding of project management techniques and methods
Knowledge of statistics
Knowledge of pharmaceutical clinical research process
Knowledge of GxP & FAIR Data Principles
This position can be located in Mississauga (Canada), Gaitherburg (USA), Warsaw (Poland), Gothenburg (Sweden )
AstraZeneca is a leading company in the healthcare industry, with a mission to enrich the lives of others. It’s our business to support healthy living, not only for our patients, but also for our employees. Our benefits program is flexible enough to meet employees’ varying needs, offers valuable choices, and is highly competitive.
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.
Come and join our journey - Apply today!
Where can I find out more?
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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.