This opportunity is available at our Waltham, MA or Gaithersburg, MD locations.

Do you have expertise in, and passion for, computational oncology? Would you like to apply your expertise to generate biological insights from multi-omics data sets using the state of art machine learning techniques in a company that follows the science and turns ideas into life changing medicines? Then AstraZeneca might be the one for you!

At AstraZeneca, we put patients first and strive to meet their unmet needs worldwide. Working here means being entrepreneurial, thinking big and working together to make the impossible a reality. If you are swift to action, confident to lead, willing to collaborate, and curious about what science can do, then you’re our kind of person.

The Early Data Science Group delivers data-driven, actionable insights through the application of computational science to all areas of AstraZeneca’s Oncology portfolio. The group has substantial expertise and a renowned track record in data science and bioinformatics, undertaking both portfolio applied informatics research and the development of cutting edge capabilities.

The Early Data Science team is growing to meet the strategic challenges pursued by AZ Oncology. We are looking for a dedicated and highly motivated Associate Director of Computational Biology 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 with a strong focus on AZ’s exciting and expanding antibody drug conjugate assets. You will have opportunities to forge close collaborations with translational medicine and clinical development teams, delivering novel hypothesis to be tested in preclinical and clinical settings, and will be working in an interdisciplinary environment. As a computational biologist, you will also have opportunities to contribute to the development of innovative methods for integrative analysis of multi-modal data employing advanced machine learning and AI technologies. To do this you will:

• Perfrom cancer biomarker analysis of multi-modal data from clinical trial samples in AZ’s key antibody drug conjugates (ADC) programs

• Be an integral part of drug project and clinical teams to actively participate in scientific discussion and hypothesis generation and validation using computational techniques

• Use your knowledge with cancer biology/drug discovery to deliver actionable insights that impact development of the next generation of cancer medicines

• 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

• Form effective collaborations with industry and academic partners, publish your work in high impact journals

Minimum Qualifications:

• PhD in Computational Biology, Bioinformatics, Biostatistics, Computer Science or a related field with more than three years of experience in Pharma/Biotech or large cancer center

• Significant experience in cancer biomarker analysis of multi-modal data (one or more of the following: ctDNA, WES, RNASeq, proteomics) from oncology clinical trials, and performing survival analysis regularly

• Strong statistical analysis and programming skills in R and/or Python and familiar with Unix environment and high-performance computing environments

• Solid training and experience of machine learning/artificial inteligence/network modeling

• Deep knowledge of cancer genetics and key algorithmic & statistical methods applicable to cancer genomics

• Strong communication skills that convey concise biological stories from complex data.

• The ability to coordinate and pursue multiple simultaneous projects with tight deadlines

• Strong external presentation and publication record

Preferred Qualifications:

• Experience working with single-cell and/or spatial omics data

• Highly independent and experienced in a team based environment

• Well networked within external bioinformatics and oncology communities

Why AstraZeneca?

At AstraZeneca when we see an opportunity for change, we seize it and make it happen, because any opportunity no matter how small, can be the start of something big. Delivering life-changing medicines is about being entrepreneurial - finding those moments and recognizing their potential. Join us on our journey of building a new kind of organization to reset expectations of what a bio-pharmaceutical company can be. This means we’re opening new ways to work, pioneering cutting edge methods, and bringing unexpected teams together. Interested? Come and join our journey.

So, what’s next!

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

Where can I find out more?

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

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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 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.