Senior Scientist, Bioinformatics

Position Overview:

We are seeking a highly skilled Senior Bioinformatician to join our Data Science team in AZ R&D China in support of data analysis for translation research. As an individual contributor, the successful candidate will play a critical role in leveraging bioinformatics expertise to drive insights from large-scale biological and clinical datasets.

Key Responsibilities:

• Utilize advanced bioinformatics tools and techniques to analyze high-dimensional biological data sets from preclinical and clinical studies.
• Collaborate with cross-functional teams to develop and implement data analysis strategies to support translational research objectives.
• Contribute to the design and implementation of computational pipelines for processing and analyzing multi-omics data, including genomics, transcriptomics, proteomics, and metabolomics.
• Apply statistical and machine learning approaches to identify biomarkers, drug targets, and potential mechanisms of action for therapeutic candidates.
• Stay abreast of emerging bioinformatics methodologies and tools, and proactively integrate relevant technologies into the data analysis workflow.

Qualifications and Experience:

• Ph.D. or equivalent experience in bioinformatics, computational biology, or a related field.
• Proven track record of applying bioinformatics methods to support drug discovery and development within the pharmaceutical or biotechnology industry.
• Proficiency in programming languages commonly used in bioinformatics, such as Python, R, and/or Perl, with a demonstrated ability to write efficient, maintainable code for data analysis and visualization.
• Familiarity with version control systems (e.g., Git) and best practices for collaborative software development in a team environment.
• Knowledge of database management and querying using SQL or related technologies for efficient data retrieval and manipulation.
• Strong understanding of molecular biology, genetics, and disease mechanisms, with the ability to interpret and contextualize complex biological data.
• Excellent communication and collaboration skills, with the ability to effectively convey technical information to non-technical stakeholders.

Preferred Qualifications:

• Experience with cloud-based computing environments and big data technologies for scalable bioinformatics analysis.
• Familiarity with regulatory requirements and best practices for the analysis and interpretation of clinical and translational data.
• Experience with workflow management systems (e.g., Snakemake, Nextflow) for the design and execution of reproducible and scalable data analysis pipelines.

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.