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Head of Data Science, Senior Director, BioPharmaceuticals R&D

10001255 - Director AI Scientist
Waltham, MA Full Time
POSTED ON 1/6/2025 CLOSED ON 2/7/2025

What are the responsibilities and job description for the Head of Data Science, Senior Director, BioPharmaceuticals R&D position at 10001255 - Director AI Scientist?

We are seeking an entrepreneurial global leader to join our Data Science and Advanced Analytics (DS&AA) department as Head of the Data Science team. In this leadership role, you will be responsible for a team of experts with data science and machine learning backgrounds passionate about developing solutions to our most ambitious problems in clinical development. Your portfolio will encompass high-value, rapid delivery projects that directly support the drug portfolio needs of BioPharmaceuticals Therapy Areas, as well as cross-functional strategic builds with ground-breaking potential. This role offers the opportunity to collaborate with leading experts in clinical research, statistics, and operations, engaging closely with our most senior R&D leaders to drive innovation and excellence across the organization.

Accountabilities

  • Lead and develop a high-performing team of approximately 10 quantitative experts, fostering innovation and excellence 

  • Serve as a key member of the DS&AA Leadership Team, shaping departmental strategy aligning R&D ambition to data science opportunities 

  • Drive the development and adoption of new tools and methodologies, creating novel solutions where off-the-shelf tools and methodologies fall short.

  • Provide leadership in one or more area of data science and machine learning, proposing and delivering impactful projects that enhance clinical development and the R&D pipeline.

  • Actively coach and mentor colleagues to strengthen data science capabilities across AstraZeneca.

  • Ensure all work complies with appropriate regulations and procedures.

  • Engage with the external innovation ecosystem to identify collaboration opportunities and novel advancements.

Essential Skills/Experience

  • MSc degree in rigorous quantitative science (such as mathematics, computer science, engineering) 

  • 5 years of meaningful experience

  • Track record of delivery excellence, delivering a portfolio of relevant projects with significant impact aligned to strategic objectives 

  • Experience and wide reputation within the pharmaceutical and/or biotech industry

  • Practical software development and analytics skills in standard data science tools

  • Demonstrated ability to lead teams with varied strengths

  • Advanced communication, business analysis, and consultancy.

  • Experience of working in a global organization 

  • Recognized expert, with multiple published papers and/or patents

  • Entrepreneurial approach

Desirable Skills/Experience

  • PhD degree

When we put unexpected teams in the same room, we ignite 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.

Thrive in a place where the brightest and most curious minds seamlessly come together in our inclusive environment. Here all doors are open, and every voice is heard. From working side-by-side with academia to innovating with biotech, we are forever expanding our horizons. By sharing and increasing our knowledge we are empowered to be the best we can be and accelerate progress.

Ready to make a difference? Apply now!

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.

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