Senior Data Scientist - Digital Health

AstraZeneca UK

Location: Cambridgeshire, Gaithersburg, Maryland, Waltham, Massachusetts

Job Type: Full time

Posted

The most difficult thing is the decision to act, the rest is merely tenacity.
- Amelia Earhart

Senior Data Scientist-Digital Health

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 (HAI) 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 challenges across the AZ R&D portfolio.

This Opportunity

The team is looking for a Senior Data Scientist to specialize in applying 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 stakeholders 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. This position is an individual contributor role and will not involve line management of reports

Examples of projects the team works on include machine learning models for developing digital biomarkers, clinical trial optimization, 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

  • Works with complex multimodal clinical datasets. Conducts analysis using data science and machine learning techniques.
  • Builds data and analysis pipelines to deliver clinical insights and reusable capabilities.
  • Researches and implements novel methods in optimization, machine learning, data analysis, data visualization.
  • Communicates results to technical and non-technical stakeholders at multiple levels.
  • Independently keeps own knowledge up to date and learns from senior team members, proposing appropriate training courses for personal development.
  • Collaborates in a multidisciplinary environment with world leading clinicians, data scientists, biological experts, statisticians and IT professionals.

Education, Qualifications, Skills and Experience

Essential

  • M.Sc. degree in rigorous quantitative science (such as mathematics, computer science, engineering) or have demonstrated an outstanding track-record of industry experience (2+ years) with the desired data science methodologies with a B.Sc. in a relevant field (such as mathematics, computer science, engineering).
  • 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, Code versioning (bitbucket/git), UNIX skills, familiarity working in cloud environment (AWS preferred)
  • AWS cloud compute experience including SysOps (provisioning resources required for analytics, Kubernetes, infrastructure as code is a bonus)
  • Experience developing machine learning first products including timeseries analysis, multi-objective optimization, forecasting, behavioral analysis

Desirable

  • Ph.D./M.Sc. degree in rigorous quantitative science (such as mathematics, computer science, engineering)
  • Interactive data visualization (interactive dashboards w/ DASH, plotly, etc.,)
  • Advanced experience with Kubernetes and machine learning product architecture
  • 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
  • Experience in data-led solution delivery and software lifecycle development practices including Agile/Scrum, Waterfall, DevOps and/or CI/CD.
  • ML Ops experience: model tracking, model governance, multiple models in different production contexts
  • Communication, business analysis, and consultancy
  • Experience within the pharmaceutical industry

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 21, 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.

Date Posted

28-Sep-2022

Closing Date

20-Oct-2022

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.

You’ve got this!