Senior Scientist/Associate Director, Translational PKPD

AstraZeneca • Waltham, MA

4d

About The Position

Typical Accountabilities: • 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 Typical People Management Responsibility (direct / indirect reports): • Approximate number of people managed in total (all levels) - 2-3 • Manager of a team • Matrix Manager - (projects/dotted line) What is the global remit? (how many countries will the role operate in?): • Another country AstraZeneca is a global, science-led, patient-focused biopharmaceutical company. We focus on discovering, developing and commercialising prescription medicines for some of the world's most serious diseases. But we are more than one of the world's leading pharmaceutical companies. At AstraZeneca, we're dedicated to being a Great Place to Work. Where you are empowered to push the boundaries of science, challenge convention and unleash your entrepreneurial spirit. To embrace differences and take bold actions to drive the change needed to meet global healthcare and sustainability challenges. There is no better place to make a difference in medicine, patients, and society. An inclusive culture where you will connect different thinking to generate new and valuable opportunities. Where you will find a commitment to lifelong learning, growth and development for all. Our Inclusion & Diversity (I&D) mission is to create an inclusive and equitable environment where people belong, using the power of our diversity to push the boundaries of science to deliver life-changing medicines to patients. Inclusion and diversity are fundamental to the success of our company, because innovation requires breakthrough ideas that only come from a diverse workforce empowered to challenge conventional thinking. We're curious about science and the advancement of knowledge. We find creative ways to approach new challenges. We're driven to make the right choices and be accountable for our actions. As an organisation centred around what makes us human, we put a big focus on people. Across our business, we want colleagues to wake up excited about their day at the office, in the field, or in the lab. Along with our purpose to bring life-changing medicines to people across the globe, we have a promise to you: to help you realise the full breadth of your potential. Here, you'll do work that has the potential to change your life and improve countless others. And, together with your team, you'll shape a culture that unites and inspires us every day. This is your life at AstraZeneca.

Requirements

• 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. May also have expertise in advanced statistical modelling, or broader aspects of applied mathematics such as dynamical systems or optimisation.
• 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

Nice To Haves

• 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

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.
• 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

Benefits

• qualified retirement program [401(k) plan]
• paid vacation and holidays
• paid leaves
• health benefits including medical, prescription drug, dental, and vision coverage

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees