We are looking for an experienced systems biologist with deep research skills to join our team and work closely with AI, research and clinical professionals.
Responsibilities:
Perform cross-discipline data analysis combining omics data, medical records and biology experiments to identify drug targets and biomarkers
Translate clinical unmet needs to biological research questions
Design translational biology experiments related to drug development
Use statistical modeling and machine learning tools to extract meaningful biological insights
Responsibilities:
Perform cross-discipline data analysis combining omics data, medical records and biology experiments to identify drug targets and biomarkers
Translate clinical unmet needs to biological research questions
Design translational biology experiments related to drug development
Use statistical modeling and machine learning tools to extract meaningful biological insights
Requirements:
PhD in bioinformatics/systems biology or a related field, or equivalent industry experience
Experience with hands-on analysis of large scale omic data
Solid and deep understanding of molecular cell biology and/or cancer biology
Strong background in statistics and bioinformatic techniques and resources
A team player, with ability to work independently
Hands-on experience in code development in python or R
Advantages:
Strong background in cancer research
Experience with proteomics data analysis
PhD in bioinformatics/systems biology or a related field, or equivalent industry experience
Experience with hands-on analysis of large scale omic data
Solid and deep understanding of molecular cell biology and/or cancer biology
Strong background in statistics and bioinformatic techniques and resources
A team player, with ability to work independently
Hands-on experience in code development in python or R
Advantages:
Strong background in cancer research
Experience with proteomics data analysis
This position is open to all candidates.
