Senior Scientist Oncology Data Science and AI

Are you ready to redefine cancer treatment and restore patients' lives? At AstraZeneca, a global science-driven biopharmaceutical company, we are committed to discovering and delivering innovative medicines that enrich lives. Our Early Data Science team within the Oncology Data Science and AI group is expanding to tackle the challenges of pre-clinical and clinical big data generation initiatives. We are seeking a talented bioinformatician with expertise in cancer genomics to join our team. You will work alongside drug project teams to deliver multi-omic profiling and support the characterization of preclinical models and patients from clinical trials. Additionally, you will develop cutting-edge transcriptomics and genomics methodologies to expand the biology we can capture from our data.

Accountabilities:
- Leverage multi-omic data from preclinical models and patients to understand the mechanism of action of our compounds.
- Collaborate with project teams to define novel markers of response and resistance from preclinical models and clinical trials.
- Develop and apply computational approaches with a focus on drug portfolio applications.
- Apply innovative computational/statistical algorithms and visualizations to generate actionable biological insights from genomic data.
- Discover and develop new molecular target, mechanism, and biomarker hypotheses.
- Link multi-omic data sets from patients and in vitro/vivo models.
- Integrate and interpret proprietary and public data spanning multiple platforms.
- Engage in knowledge sharing and peer support, including training bench scientists in critical Oncology bioinformatics tools.
- Build and steer development of prototype tools for bench scientists to access and visualize project data.
- Collaborate with industry and academia to find effective solutions to drug discovery problems.
- Publish work in high-impact journals.

Essential Skills/Experience:
- Relevant PhD (or equivalent) plus at least five years of relevant applied experience combining technical expertise in computational biology, bioinformatics, data science, or applied biostatistics.
- Experience and knowledge with data from clinical trials; expertise in either cancer genomics, transcriptomics, spatial or single-cell technologies would be essential.
- Proficiency analyzing and interpreting data from multiple 'omic platforms (NGS sequencing, transcriptomic, epigenetic, proteomic etc.).
- Expertise in the analysis of genomic data (WES, targeted panels, WGS) covering QC, handling, processing & interpretation.
- Expertise in querying, mining, and interpreting cancer variants and associations with clinical outcomes from real-world datasets (TCGA, MSK-IMPACT, Flatiron, Tempus).
- A proven track record of clinical/translational/biomarker research (experience in pharmaceutical industry is strongly desired).
- Highly developed communication skills in conveying concise biological insights from analysis of complex data.
- The ability to successfully lead in a matrix setting, partner with diverse stakeholders, and deliver impacts on tight deadlines.

Desirable Skills/Experience:
- Publication record in either cancer genomics, bulk or single-cell transcriptomic applied to cancer.
- Experience with spatial transcriptomic data analysis from GeoMx or Xenium platforms.
- Knowledge of databases of clinical interpretation of cancer variants.
- Biological understanding of cancer signaling pathways.
- Expertise in the development of novel statistical approaches for the analysis of biological data.
- Awareness of machine learning, graph modeling, artificial intelligence, Bayesian analytics or other non-traditional approaches to model biological data.
- A thorough understanding of the contribution of bioinformatics to drug discovery.
- Well networked within external bioinformatics and oncology communities.
- Capability of successfully managing multiple simultaneous projects.
- Working effectively within cross-disciplinary science teams, including with functional leaders.
- Experience contributing to the research community through publication, conferences, and code.

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.

AstraZeneca is where courage meets curiosity! We are dedicated to eliminating cancer as a cause of death by fusing cutting-edge science with the latest technology. Our collaborative research environment unites academia and industry to expedite breakthroughs in some of the hardest-to-treat cancers. With a commitment to improving millions of lives, we empower our teams to lead at every level, ask questions, and take smart risks.

Ready to make a difference? Apply now and join us on this exciting journey!

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.