SUMMARY

RESPONSIBILITIES

• Generate novel and testable lncRNA biomarker hypotheses across selected drug candidates in the AZ oncology portfolio through development and application of novel bioinformatics approaches to Next Generation Sequencing datasets
• Functionally characterise candidate biomarkers using cutting-edge bioinformatics techniques.
• Challenge and influence current personalised healthcare strategies across the AZ oncology portfolio
• Interface with scientists from across many disciplines while at the same time being able to work independently.
• Communicate results both within AstraZeneca via global working groups and externally at meetings and through publications in high impact journals
• Work collaboratively with other experts internally within Bioinformatics and Disease Biology groups, and externally with academic partners

REQUIREMENTS

• PhD level in a computational biology, bioinformatics or equivalent biology subject
• Experience of applying bioinformatics approaches to cancer datasets.
• Familiarity with Unix/Linux operating systems.
• Highly competent in one or more of Perl, Python, Ruby, Java, C/C++, R programming languages.
• Expertise in the application, analysis and interpretation of Next Generation Sequencing data particularly RNA-Seq.
• Strong interpersonal, organizational and communication skills.
• Proven ability to independently design and execute incisive experiments and interpret results.
• Good track record of driving and publishing scientific research.

PREFERENCES

• Experience of in silico lncRNA identification and interpretation
• Disease area and/or domain knowledge in Biological Sciences or similar
• Interdisciplinary background in bioinformatics/computational biology and cancer genomics .
• Experience in applying systems biology approaches to large data sets.

ADDITIONAL

• Strong passion and commitment to drug discovery and delivering therapies for patients.
• Evidence of innovative approach to working and driving ideas through publication.
• A strong scientific track record, as evidenced by published or accepted papers in well recognized peer-reviewed journals, oral and/or poster presentations at scientific meetings.
• Ability to work well within a group/team environment.

TERMS

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COMPENSATION

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