Associate Director, Oncology Data Science

    • AstraZeneca
  • Waltham, MA
  • Posted 41 days ago | Updated 8 hours ago

Overview

On Site
Full Time

Skills

Research and development
Data Science
Machine Learning (ML)
Computer science
Statistics
Data manipulation
Programming languages
Clinical trials
Leadership
Generative Artificial Intelligence (AI)
Data Analysis
Recruiting
Social media
Employment authorization
Mergers and acquisitions
Data
Collaboration
Presentations
Research
Strategy
Bioinformatics
Pharmaceutics
Python
R
Genetics
Genomics
Communication
Analytics
Health care
Agile
MEAN stack
Creativity
Innovation
Biology
LinkedIn
Facebook

Job Details

Associate Director, Oncology Data Science

Waltham, MA or Gaithersburg, MD

Join our Early Data Science team in the Oncology R&D department at AstraZeneca, where we are growing to meet the strategic challenges pursued by AZ Oncology. We are looking for a talented and highly motivated Associate Director of Data Science to join a team designing and applying cutting-edge computational analysis to drive clinical biomarker hypothesis, and advance our understanding of response and resistance mechanisms of novel therapeutics.

Accountabilities:

As an Associate Director, you will apply advanced statistical and machine learning methods to analyze multi-modal data aiming to potential biomarker and MoA (mechanism of action) insights. You will drive the development of biomarker identification, validation and patient stratification strategies in collaboration with cross-functional teams. You will effectively communicate complex findings and recommendations to diverse stakeholders through compelling data visualizations, reports, and presentations. You will also work with our Research and Translational Medicine Leads to proactively influence the generation of data assets as part of a data generation strategy to evaluate novel hypothesis and drive target discovery.

Essential Skills/Experience:
  • PhD in Data Science, Statistics, Bioinformatics, Computer Science, or a related quantitative field, with more than three years of experience in Pharma/Biotech or large cancer center
  • Extensive expertise in statistical analysis, machine learning, and advanced data manipulation techniques
  • Proficiency in programming languages such as Python, R, or similar
  • Significant experience in cancer biomarker analysis of multi-modal data from oncology clinical trials
  • Deep knowledge of cancer genetics and key algorithmic & statistical methods applicable to cancer genomics
  • Exceptional communication and leadership skills
  • The ability to coordinate and pursue multiple simultaneous projects with tight deadlines
  • Strong external presentation and publication record

Desirable Skills/Experience:
  • Experience working with spatial omics data
  • Proficiency in generative AI techniques and their application in data analysis and research
  • Well networked within external data science and oncology communities

At AstraZeneca, we are actively embracing and investing in technology, harnessing digital, data and analytics to reimagine the future of healthcare and deliver improved outcomes to patients beyond core medical. We are proud to work here, fusing the tools of our leading pharmaceutical company with an agile mindset to guide the strategy and operational delivery of digital health solutions across Research & Development. We are ambitious self-starters, proactively driving our own learning. Open-minded and curious, we embrace change and naturally adapt to our ever-evolving industry.

When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.

Are you ready to unleash your creativity to challenge the status quo? To thrive In the Research & Development Digital Health team takes critical and different thinking to drive innovation. We are comfortable with challenge and encourage each other to disrupt to make a difference. By unleashing our curiosity and creativity we develop ideas and reimagine solutions. Join us and be part of our journey as we move beyond precision medicines to work towards individualised medicines developed through our deep understanding of individual biology and behaviours.

Apply now and make a difference!

If you're curious to know more, please contact Bobbi Poole, our Talent Acquisition Partner.

Closing Date: May 13, 2024

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?

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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 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.