Job Description

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

Are you passionate about driving insights with data? Do you often ask yourself, if I just had these data, I could...? Do you sometimes imagine what our lives will look like three years from now in these times of the convergence of the AI and the bio revolutions? If the answer is \xe2\x80\x9cYES\xe2\x80\x9d to all the questions above and you have an interest for applying Machine Learning/AI in the computational biology space \xe2\x80\x93 then we have an exciting opportunity for you.

AstraZeneca is a company that always follows the science and turns ideas into life changing medicines. Oncology Data Science plays a unique role in driving drug discovery and translating basic science to clinical practice. We strive to improve the utilization of data to patients\xe2\x80\x99 benefit by leading the adoption and development of computational/data driven approaches to all aspects of the drug discovery process.

The Data Science and AI research team in oncology is composed of a diverse group of data scientists, algorithm developers and applied mathematicians working together with computational biologists, bioinformaticians, software engineers, biologists and oncologists to deliver the next drug, next biomarker and next insights to the benefit of cancer patients. Our group is pioneering new Data Science and AI methods and practices to drive drug discovery.

As AI is playing a bigger role in our lives, data is becoming more abundant, more diverse and more complex. ML/AI methods and techniques are expending - we need more experts to drive our bleeding edge research to find the right drug, to the right patient at the right time.

We are looking for truly skillful people with hands-on ability and clear thinking. People who are bold that are not afraid to try out stuff and fail, motivated to make an impact and pioneer new tech and science. We are looking for a scientist to apply and develop new Machine learning and AI methods. This is a unique opportunity to lead and develop new approaches combining bioinformatics and advanced AI, utilizing a breadth of multi-modal data (e.g. multi-omics and radiomics) from pre-clinical and clinical studies. The successful execution of this role will impact our patients through discovery of biomarkers, informing optimal drug combination and patient selection strategies, discovery of novel oncology targets and furthering our knowledge of cancer biology and evolution. To do this you will:

Design, develop and apply new state-of-the-art AI/ML methods and algorithms to bring insights from clinical and biological data and accelerate the ways we do research in Oncology.

Partner closely with scientists across translational medicine, bioscience, software engineering and bioinformatics to shape together the next generation of AI tools to drive biological insights and inform decision making.

Communicate results, methods and practices to teams across the organization.

Publish results in scientific journals and present in scientific conferences.

Work in a dynamic and multidisciplinary research environment, adapt quickly to new technologies and methods.

Minimum Qualifications:

Bachelor and a PhD in quantitative and/or biological sciences (e.g. computer science, math, stats, ML/AI, Physics, computational biology, engineering, Bioinformatics) with a major research focus on Machine/Deep learning.

2 years of relevant experience

Demonstrated strong technical skills including: applying and developing methods and algorithms in ML/AI, data sciences best practices, problem solving and analytical thinking.

Excellent Data Wrangling skills.

Excellent communication skills.

R and/or Python programming expertise in a Unix environment making use of high-performance computing environments.

Desirable Qualifications:

Experience in biopharma/biotech/hitech industry or academia developing methods in data science and AI.

Experience in working with biological data (e.g. genomics, scRNAseq).

Experience in computational biology or thesis related to the field.

Publications in the field of DS & AI and/or computational biology.

Excellent academic record.

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 recognising their potential. Join us on our journey of building a new kind of organisation to reset expectations of what a bio-pharmaceutical company can be. This means we\xe2\x80\x99re opening new ways to work, pioneering groundbreaking methods and bringing unexpected teams together. Interested? Come and join our journey.

So, what\xe2\x80\x99s next?

Are you ready to bring new ideas and fresh thinking to the table? Brilliant! We have one seat available and we hope it\xe2\x80\x99s yours.

Where can I find out more?

Our Social Media, Follow AstraZeneca on LinkedIn

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Date Posted 27-Sep-2023

Closing Date 03-Oct-2023

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 authorisation and employment eligibility verification requirements. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

AstraZeneca requires all US employees to be fully vaccinated for COVID-19 but will consider requests for reasonable accommodations as required by applicable law.

AstraZeneca