Computational Scientist - Cancer Immunogenomics - Compass Consulting

Our client is a leading biotechnology company that discovers, develops, manufactures and commercializes medicines to treat patients with serious or life-threatening medical conditions. They are among the world's leading biotech companies, with multiple products on the market and a promising development pipeline.

Role Overview:

The Cancer Immunogenomics team in the Computational Biology and Translation Pillar of Computational Sciences is seeking a talented and highly motivated Computational Scientist (Contract) with a strong analytical background in computational biology and immuno-oncology, particularly focusing on T cell biology.  The successful candidate will have a proven track record in single-cell analysis and the application of both standard and advanced computational methods, such as machine learning, statistical modeling, and bioinformatics pipelines, for hypothesis testing and novel insight generation.

Responsibilities:

• Collaborate with scientists in Oncology to analyze large-scale single-cell and bulk RNA, TCR, ADT, and ATAC-seq datasets to address scientific hypotheses and deliver novel insights.
• Develop analytical approaches to integrate and interpret these data, delivering insights into disease biology and mechanisms of action to propel our pipeline and clinical research goals.
• Coordinate the processing and standardization of newly incoming datasets to make them analysis-ready.
• Document code, analysis processes, and findings, including standardization of analytical workflows.
• Present findings to the Cancer Immunogenomics group and Oncology collaborators.

Requirements:

• Extensive experience in large-scale single-cell data analysis (RNA, TCR, ADT, ATAC), including gold-standard methods and novel, advanced analytical techniques such as:
  • Multimodal data integration methods
  • Cell phenotyping approaches, including topic modeling
  • Clonotype analysis
  • TCR-sequence analysis
• Expertise in immuno-oncology, innate immunity, and/or T cell biology.
• PhD (or Master's with significant experience) in Computational Biology, Bioinformatics, or a related field.
• Proficiency in R, Python, and shell scripting.
• Experience working with Git and high-performance computing.
• High self-motivation and commitment to delivering high-quality results.
• Ability to produce high-quality analysis results with minimal supervision, including meeting key deadlines and making sensible independent decisions.
• Excellent communication skills and experience working as part of a team.
• Curiosity and desire to learn more about computational biology and immuno-oncology biology.

Requirements:

• Extensive experience in large-scale single-cell data analysis (RNA, TCR, ADT, ATAC), including gold-standard methods and novel, advanced analytical techniques such as:
  • Multimodal data integration methods
  • Cell phenotyping approaches, including topic modeling
  • Clonotype analysis
  • TCR-sequence analysis
• Expertise in immuno-oncology, innate immunity, and/or T cell biology.
• PhD (or Master's with significant experience) in Computational Biology, Bioinformatics, or a related field.
• Proficiency in R, Python, and shell scripting.
• Experience working with Git and high-performance computing.
• High self-motivation and commitment to delivering high-quality results.
• Ability to produce high-quality analysis results with minimal supervision, including meeting key deadlines and making sensible independent decisions.
• Excellent communication skills and experience working as part of a team.
• Curiosity and desire to learn more about computational biology and immuno-oncology biology.