Accountabilities
- Collaborate with scientific colleagues across AstraZeneca to ensure informatics and advanced analytics solutions meet RD needs.
- Develop and deliver informatics solutions using agile methodologies, including pipelining approaches and algorithm development.
- Contribute to multi-omics drug projects with downstream analysis and data analytics.
- Create, benchmark, and deploy scalable data workflows for genome assembly, variant calling, annotation, and more.
- Implement CI/CD practices for pipeline development across cloud-based and HPC environments.
- Apply cloud computing platforms like AWS for pipeline execution and data storage.
- Explore opportunities to apply AI ML in informatics.
- Engage with external peers and software providers to apply the latest methods to business problems.
- Work closely with data scientists and platform teams to deliver scientific insights.
- Collaborate with informatics colleagues in our Global Innovation and Technology Centre.
Essential Skills/Experience
- Masters/PhD (or equivalent) in Bioinformatics, Computational Biology, AI/ML, Genomics, Systems Biology, Biomedical Informatics, or related field with a demonstrable record of informatics and Image analysis delivery in a biopharmaceutical setting.
- Strong coding and software engineering skills such as Python, R, Scripting, Nextflow.
- Over 6 years of experience in Image analysis/bioinformatics, with a focus on Image/NGS data analysis and Nextflow (DSL2) pipeline development.
- Proficiency in cloud platforms preferably AWS (e.g. S3, EC2, Batch, EBS, EFS etc) and containerization tools (Docker, Singularity).
- Experience with workflow management tools and CI/CD practices in Image analysis and bioinformatics (Git, GitHub, GitLab), HPC in AWS.
- Experience in working with any multi-omics analysis (Transcriptomics, single cell and CRISPR etc ) or Image data (DICOM, WSI etc) analysis.
- Experience working with any Omics tools and databases such as NCBI, PubMED, UCSC genome databrowser, bedtools, samtools, Picard or imaging relevant tools such as CellProfiler, HALO, VisioPharm particularly in digital pathology and biomarker research.
- Strong communication skills, with the ability to collaborate effectively with team members and partners to achieve objectives.
Desirable Skills/Experience
- Experience in Omics or Imaging data analysis in a Biopharmaceutical setting.
- Knowledge of Dockers, Kubernetes for container orchestration.
- Experience with other workflow management systems, such as (e.g. Apache Airflow, Nextflow, Cromwell, AWS StepFunctions).
- Familiarity with web-based bioinformatics tools (e.g., RShiny, Jupyter).
- Experience with working in GxP-validated environments.
- Experience administering and optimising a HPC job scheduler (e.g. SLURM).
- Experience with configuration automation and infrastructure as code (e.g. Ansible, Hashicorp Terraform, AWS CloudFormation, Amazon Cloud Developer Kit).
- Experience deploying infrastructure and code to public cloud, especially AWS.
