Associate Director of Data Science
AstraZeneca

Job Info

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Associate Director of Data Science

Waltham, MA; Gaithersburg, MD; or our Cambridge, UK location

At AstraZeneca, we work together to deliver innovative medicines to patients across global boundaries. We make an impact and find solutions to challenges. We do this with integrity, even in the most difficult situations, because we are committed to doing the right thing.

The Digital Health Oncology R&D Human-centered AI and Machine Learning Team aims to transform the patient experience and clinical trial process. We will do so by deploying digital solutions to clinical trials and in the real world to decrease patient burden. The approach the team takes will incorporate clinical trial data, Real World Evidence (RWE) data, clinical free text, medical imaging, Patient Reported Outcomes (PROs), and device data to define new digital approaches to addressing the pressing problems across the AZ R&D portfolio.

This Opportunity

The team is looking for an Associate Director of Data Science to specialize in development of innovative machine learning methods focused on multi-modal datasets including clinical trial data, RWE, imaging data, 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 stakeholders in the product development cycle. This Data Scientist will also work closely with the Digital Health R&D subject matter experts and collaborators to develop novel approaches that support the development of patient and HCP-facing digital products. Applicants should have a strong foundation in statistics, experience with machine learning in a production environment, detailed knowledge of the clinical trials space in the pharmaceutical industry and experience maintaining a portfolio of machine-learning enabled products.

Examples of projects the team works on include machine learning models for developing digital biomarkers, digital therapeutics, computer vision diagnostics and clinical decision support tools, approaches to quantitatively analyze wearable data, linking of medical imaging data with 'omics and longitudinal outcomes to identify and/or validate new drug targets, and much more!

Typical Accountabilities

• Drives projects with hands-on data science, analysis, or mathematical modeling.
• Delivers advanced data science solutions to AstraZeneca projects, selecting analytical methods with appropriate complexity given a clinical or business challenge.
• Engages technical and non-technical stakeholders within the wider organization to frame complex 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 escalated
• Collaborates in a multidisciplinary environment with world leading clinicians, data scientists, biological experts, statisticians and IT professionals.

Education, Qualifications, Skills and Experience

Essential

• An outstanding track-record of industry experience with the desired data science methodologies
• Practical software development skills in standard data science tools: Python, Agile, Code code versioning (bitbucket/git), UNIX skills, familiarity working in cloud environment (AWS preferred)
• End-to-end experience leading collaborative data science projects in an industry setting
• ML Ops experience: model tracking, model governance, multiple models in different production contexts
• Experience developing machine learning first products including timeseries analysis, forecasting, behavioral analysis
• Knowledge of range of mathematical and statistical modelling techniques and drive to continue to learn and develop these skills.
• Communication, business analysis, and consultancy; ability to present compelling cases to stakeholders and operate dynamically to identify solutions
• M.Sc. degree in rigorous quantitative science (such as mathematics, computer science, engineering) or have demonstrated an outstanding track-record of industry experience (4+ years) with the desired data science methodologies with a B.Sc. in a relevant field (such as mathematics, computer science, engineering).

Desirable

• Ph.D. or M.Sc. degree in rigorous quantitative science (such as mathematics, computer science, engineering) or M.B.A. with analytics experience in industry.
• Experience within the pharmaceutical industry
• Advanced 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, state-of-the-art timeseries & forecasting models

Why AstraZeneca?

At AstraZeneca we're dedicated to being an excellent Place to Work. Where you are empowered to push the boundaries of science and unleash your ambitious spirit. There's no better place to make a difference to medicine, patients and society. An inclusive culture that champions diversity and collaboration, and always committed to lifelong learning, growth and development. We're on an exciting journey to pioneer the future of healthcare.

So, what's next?

Are you ready to bring new insights and fresh thinking to the table? Brilliant! We have one seat available, and we hope it's yours.

Closing Date: October 19, 2022

Competitive remuneration and benefits apply

We offer a competitive Total Reward program including a market driven base salary, bonus and long term incentive. We have a generous paid time off program and a comprehensive benefits package.

Where can I find out more?

Our Social Media, Follow AstraZeneca on LinkedIn https://www.linkedin.com/company/1603/

Follow AstraZeneca on Facebook https://www.facebook.com/astrazenecacareers/

Follow AstraZeneca on Instagram https://www.instagram.com/astrazeneca_careers/?hl=en

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 follow all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

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.

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