AstraZeneca is looking to integrate multi-omic data sets from clinical trials to derive actionable insights.
Requirements
- Expertise in bioinformatic and computational biology tools, programming and developing analytical pipelines
- Experience with programming language, Python and R
- Experience with cloud computing and high-performance clusters
- Understanding of basic statistics and applications to biomedical science
- Experience with single cell data analysis
- Experience with NGS workflows and multi-omic data analysis
- Experience in the field of immune-oncology is a plus
Responsibilities
- Develop and implement strategies for integrating multi-omic data sets, including genomics and transcriptomics
- Use machine learning and AI methodologies from multi-omic data sets and derive actionable insights
- Develop AI models and algorithms tailored to our specific research needs
- Contribute to the development of analytical models of clinical NGS data
- Refine existing tools and develop novel methodologies for analyzing NGS data
- Establish data architecture solutions and bioinformatic analysis pipelines
- Work with team members to build code repository and bioinformatic best practices
Other
- Communicate technical concepts and results through reports, presentations, and collaborative discussions
- Collaborate across multidisciplinary teams
- Document methodology and analytical findings
- Team-oriented mindset with ability to work independently and collaboratively
- Ability to adjust workload based upon changing priorities
- Willingness to accept temporary responsibilities outside of initial job description
- Eight (8) years with BS/BA, or seven (7) years with MS/MA, or a one (1) year with PhD in data science, computational biology, bioengineering, or a related field with relevant post-graduate experience
