Scientist, Computational Biology

Scientific role in Computational Biology focused on early drug discovery efforts.

Responsibilities

• Serve as the expert in analyzing high-dimensional datasets, including bulk and single-cell transcriptomics
• Design, perform, and interpret experiments
• Develop and improve computational tools and workflows
• Collaborate closely with discovery scientists
• Ensure reproducible data analyses
• Contribute to scientific publications and presentations

Qualifications

• PhD in bioinformatics, computational biology, or related field
• Proven experience with complex biological datasets and modalities such as transcriptomics, genomics, and proteomics
• Hands-on expertise in oncology target discovery and validation
• Familiarity with public datasets like TCGA, GTEx, and ENCODE
• Proficiency in programming languages like R or Python, with knowledge of modern best practices
• Strong communication skills
• Industry or internship experience preferred

Key Skills

• Expertise in high-dimensional data analysis
• Pipeline development
• Biological problem-solving
• Cross-disciplinary collaboration