Scientist

Duties and responsibilities:

• Apply advanced statistics and machine learning technologies to support the identification of novel

therapeutic targets, target validation, disease selection/expansion, and identification of translational

biomarkers.

• Design and implement machine learning models to analyze large-scale genomic datasets from human

disease studies.

• Learn and apply your experience in single cell and spatial transcriptomics data analysis to gain deeper

biological insights.

• Learn and apply your experience in biological pathways, data visualization, network, and systems biology

a plus.

• Interpret and present analysis results to colleagues and collaborators in a clear and concise manner.

• Apply and develop innovative analysis approaches when standard methods are not adequate.

• Maintain a high level of data integrity and ethics throughout the research process.

• Stay current with the latest advancements in the field by reviewing scientific literature and attending

online courses/conferences.

Requirements:

• Strong scientific understanding and experience in statistical and machine learning approaches in

applying to bioinformatics.

• Experience in programming languages like Python and R.

• Good understanding of biology a plus.

• Good written and verbal communication skills.

Education:

Ph.D or Master’s degree in a related scientific discipline (Computer Science, Genomics,

Biostatistics or Bioinformatics

Required

• MACHINE LEARNING
• DRUG DISCOVERY
• BIOSTATISTICS
• DATA INTEGRITY
• GENOMICS