AstraZeneca · 1 day ago
Senior Scientist/Associate Director, Translational PKPD
AstraZeneca is a global biopharmaceutical company that focuses on the discovery, development, and commercialization of prescription medicines. They are seeking a Senior Scientist/Associate Director in Translational PKPD to coordinate the implementation of novel modeling solutions, develop predictive models, and provide advanced data science expertise across projects.
BiopharmaBiotechnologyHealth CareMedicalPharmaceuticalPrecision Medicine
Responsibilities
Coordinate the implementation of novel modelling solutions designed to drive the interrogation of datasets for insights in scientific and business application areas within defined project scope. This includes integrating complex data from multiple different sources and modalities includes the application of specialized approaches in classification, regression, clustering, NLP, image analysis, graph theory and/or other techniques
Using domain-specific understanding, translates unstructured, complex business problems into the appropriate data problem, model and analytical solutions
Researches and develops advanced predictive models and computational methods to guide and shape decision-making within the project scope
Provide training and advice to collaborators on optimal use of key data, analysis platforms and the appropriate use of data science
Apply expert AI research techniques, including establishment of hypotheses that can be approached using computational methods and tools. Present or publish findings for conferences and in peer reviewed journals
Build and manage effective relationships with stakeholders to ensure utilization and value of information resources and services. Clearly and objectively communicate results, as well as their associated uncertainties and limitations to shape solutions
Provide advanced data science expertise to cross-functional projects and shape delivery of data science solutions that drive value to AstraZeneca
Apply a range of data science methodologies, developing novel data science solutions where off-the-shelf methodologies do not fit
Develop, implement and maintain required tools and algorithms in a manner which meets regulatory and evidential requirements within project scope
Leads small (2-3 person) data science projects of defined scope and provide coaching for junior team members
Developing, maintaining and applying ongoing knowledge and awareness in trends, standard methodology and new developments in analytics and data science
Review and develop working practices to ensure that data science work is delivered to robust quality standards
Qualification
Required
Masters degree in mathematics, computer science, engineering, physics, statistics, economics, computational sciences, or a related quantitative discipline; or equivalent experience
Demonstrated experience with modern data science approaches, including unsupervised and supervised classification and regression algorithms such as k-means clustering, support vector machines, random forests, neural networks and deep learning
Proven demonstrated experience in the modelling of complex datasets in applied business and/or scientific application domains
Advanced software development skills in at least one of the standard data science languages (such as R, Julia or Python) and familiarity with database systems (e.g. SQL, NoSQL, graph)
Experience of manipulating and analysing large high dimensionality unstructured datasets, drawing conclusions, defining recommended actions, and reporting results across stakeholders
Understanding of algorithm design, development, optimization, scaling and applications
Excellent written and verbal communication, business analysis, and consultancy skills
Good understanding of at least one business area where the data science is applied
Preferred
PhD degree in mathematics, computer science, engineering, physics, statistics, economics, or a related quantitative discipline
Comfortable working in high performance computing or cloud environment
Proven track record of publishing relevant predictive modelling results and tools in peer-reviewed journals, conferences, and other scientific proceedings
Experience in life sciences and healthcare
Experience in novel methods development and application
Benefits
Short-term incentive bonus opportunity
Equity-based long-term incentive program (salaried roles)
Retirement contribution (hourly roles)
Commission payment eligibility (sales roles)
Qualified retirement program [401(k) plan]
Paid vacation and holidays
Paid leaves
Health benefits including medical, prescription drug, dental, and vision coverage
Company
AstraZeneca
AstraZeneca is a pharmaceutical company that discovers, develops, manufactures, and markets prescription medicines. It is a sub-organization of Investor.
H1B Sponsorship
AstraZeneca has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2021 (2)
2020 (11)
Funding
Current Stage
Public CompanyTotal Funding
$5.26B2024-07-30Post Ipo Debt· $1.51B
2023-02-28Post Ipo Debt· $2.25B
2023-02-24Post Ipo Debt· $1.5B
Leadership Team
Recent News
2026-01-07
Pharma Letter
2026-01-07
London Evening Standard
2026-01-07
Company data provided by crunchbase