Computational Biology Data Analyst

Client: global biotech company
Job: Computational Biology Data Analyst
Location: 100% remote
Schedule: EST hours
Duration: 11-month contract, open to extensions
 
What you will do:
We are actively seeking a highly qualified and motivated Data Analyst with a strong background in Computational Biology. The data analyst will join the Bioinformatics Technologies team within Client's Center for Research Acceleration by Digital Innovation (CRADI). CRADI is a multi-disciplinary effort embedded within our drug discovery engine, that continually uses advancement in digital technologies for disease modeling and digital modality engineering to accelerate our pipeline from target inception through drug development. Bioinformatics Technologies plays a pivotal role within CRADI's Computational Biology and Bioinformatics function, establishing an innovation engine for deploying and exploiting emerging digital technologies in the field of computational biology.

The increased availability and resolution of next-generation sequencing technologies have led to a significant volume of complex, high-dimensional omics data. Utilizing these datasets to drive therapeutic drug discovery is challenging and often requires innovative strategies. In this role, you will help to develop and implement Client quantum-adaptable topological data analysis (TDA) tools to efficiently extract hidden, biologically relevant insights from complex omics datasets. This position will involve close collaboration with external and internal partners to identify and interpret biological drivers of heart failure pathogenesis. The ability to communicate clearly and collaborate effectively with colleagues from different fields will be essential.

The ideal candidate will have strong analytical skills, a high level of technical expertise in computational sciences, a deep understanding of topological data analysis, single-cell omics analysis, and human heart failure biology. This should be demonstrated by a proven track record of innovative and collaborative research.

RESPONSIBILITIES:

• Investigates and implements topological data analysis workflows for target and biomarker discovery
• Explores and adapts classical topological data analysis concepts for single-cell and spatial omics data
• Collaborates with internal and external partners to develop innovative bioinformatics tools that uncover Client insights from complex heterogeneous omics datasets
• Creates innovative cloud-native bioinformatics workflows for efficient and sustainable omics data processing, quality control, and integration of multi-omics data to generate systemic insights into disease biology
• Interprets and reports on multi-dimensional studies using bulk, single-cell, and spatial omics technologies that will accelerate the pace of research biomarker discovery and translation in early drug discovery across all therapeutic areas

• Experience with high-dimensional data processing and classical topological data analysis (TDA) algorithms
• Experience in integrative analysis of omics data, including single-cell and spatial sequencing data
• Knowledge of heart failure disease biology is a plus
• Familiarity with quantum computing concepts and algorithms is a plus
• Fluency in scientific programming and tool development with R, Python, or equivalents
• Creative, open-minded, and passionate about scientific research
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• Demonstrated ability to thrive in a team environment
• Strong interpersonal, collaborative, organizational, and presentation skills