Senior Scientist, Bioinformatics, AstraZeneca Oncology R&D at AstraZeneca in Gaithersburg, Maryland

Posted in Other 19 days ago.

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Job Description:

Senior Scientist, Bioinformatics, AstraZeneca Oncology R&D

Gaithersburg, USA

AstraZeneca is a global, science-driven biopharmaceutical company. We are dedicated to discovering, developing, and delivering innovative, meaningful medicines and healthcare solutions that enrich the lives of patients. The vision of AstraZeneca Oncology is to redefine cancer, redefine our solutions to cancer, and restore patients' lives.

The Early Computational Oncology team works with our oncology drug project teams throughout the research and early development pipeline, from new target discovery to translational medicine and clinical trials. Our global group aligns its activities to AstraZeneca's primary areas of focus in Oncology: immuno-oncology, DNA damage response, tumour drivers & resistance, epigenetics, cell therapies and antibody-drug conjugates.

Excitingly the team is growing to meet the challenges of pre-clinical and clinical big data generation initiatives in AZ Oncology including DNA sequencing, single-cell and bulk expression, proteomics and CRISPR. We have multiple opportunities available for talented and motivated bioinformaticians. Positions include:
  • Senior scientist for discovery and portfolio support for immuno-oncology (All sites).
  • Senior scientist for discovery and portfolio support in cell therapy and antibody-drug conjugates (All sites).
  • Senior scientist for discovery and portfolio support in epigenetics (Boston preferred).
  • Senior scientist knowledge graph team driving new insight for immuno-oncology (Gaithersburg preferred).

Main Duties and Responsibilities:
  • Work as part of drug project and clinical teams to understand their scientific and technical challenges and proactively impact these using bioinformatics.
  • Apply data and knowledge analytics to deliver actionable insight driving discovery and development of the next generation of cancer medicines.
  • Discover, design and code innovative ways to identify and visualise meaningful patterns in complex data.
  • Work with our labs to influence generation of data assets.
  • Share code and train peers and bench scientists in the tools critical to understanding complex data.
  • Collaborate with industry and academia.
  • Publish your work in high impact journals.

Minimum requirements:
  • Relevant PhD (or equivalent graduate degree plus proven applied experience), combining:
    • technical expertise in either bioinformatics, computational biology, biostatistics, mathematical modelling, data science or knowledge engineering.
    • a deep understanding of the molecular mechanisms driving cancer or immunological disorders.
  • R and/or Python programming and visualisation expertise.
  • Skilled in effective communication of complex data to a non-expert.
  • Expertise in one or more of the following:
    • Analysis and immunological interpretation of data including transcriptomics, single cell, Flow, CyTOF.
    • Analysis of epigenetic data including ATACseq and ChIPseq, and multi-omics.
    • Data management including curation, data engineering, FAIR and reproducible research practices.
    • Knowledge engineering/analytics including knowledge graphs, ontologies, triple/quad stores, NLP, concept maps.
  • Enthusiasm and persistence in the application of analytic methods to complex biological problems.
  • Familiarity with the Unix environment.
  • 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.