Computational Biologist II, External Collaborations
About the position
As a Computational Biologist II at Immunai, you will be working in a fast-paced and research-driven external collaborations team to lead projects with our pharma, biotech, and academic partners. Through this position, you will have the opportunity to work with biologists, immunologists, computational biologists, machine learning specialists, and the business development team to design, execute, and disseminate data analyses leveraging single cell multi-omics for immuno-oncology and autoimmune disease research applications.
Responsibilities
• Drive novel research by leading computational biology efforts for industry partnership projects in immuno-oncology and autoimmune diseases
• Liaise with external and internal stakeholders to define research objectives and analysis plans
• Execute rigorous and reproducible data analysis using state of the art statistical and ML/AI methods
• Maintain close collaboration with a highly multidisciplinary internal team throughout the life cycle of each project to ensure successful delivery
• Clearly communicate findings to external stakeholders in the form of presentations and data reports
• Devise and implement new approaches to push the boundaries of Immunai’s capabilities
• Champion Immunai core values
Requirements
• PhD (preferred in Bioinformatics/Computational Biology/Statistics) and a minimum of 2-5 years related experience post PhD (industry or postdoc).
• 2-5 years experience in multi-omics data analysis including bulk and single-cell transcriptomics- a must
• Expertise in current bioinformatics and computational biology tools, methods, and applications; Strong ability to develop and test data analysis code (R or Python's pandas) - a must
• Expertise in distilling multi-faceted analyses into concrete conclusions with effective data visualizations and presentations - a must
• Excellent verbal and written communication skills to represent Immunai to external collaborators as well as operate effectively on a diverse and collaborative internal team - a must
Nice-to-haves
• Background in ML/AI - preferred
• Experience with AI-assisted coding (ex. cursor) - preferred
• Background in cancer immunotherapy and/or autoimmune disease applications is a bonus
Benefits
• Base salary typically between \$130,000 - \$150,000
• Opportunity to consider higher compensation above this range based on business need, candidate experience, and or skills.
As a Computational Biologist II at Immunai, you will be working in a fast-paced and research-driven external collaborations team to lead projects with our pharma, biotech, and academic partners. Through this position, you will have the opportunity to work with biologists, immunologists, computational biologists, machine learning specialists, and the business development team to design, execute, and disseminate data analyses leveraging single cell multi-omics for immuno-oncology and autoimmune disease research applications.
Responsibilities
• Drive novel research by leading computational biology efforts for industry partnership projects in immuno-oncology and autoimmune diseases
• Liaise with external and internal stakeholders to define research objectives and analysis plans
• Execute rigorous and reproducible data analysis using state of the art statistical and ML/AI methods
• Maintain close collaboration with a highly multidisciplinary internal team throughout the life cycle of each project to ensure successful delivery
• Clearly communicate findings to external stakeholders in the form of presentations and data reports
• Devise and implement new approaches to push the boundaries of Immunai’s capabilities
• Champion Immunai core values
Requirements
• PhD (preferred in Bioinformatics/Computational Biology/Statistics) and a minimum of 2-5 years related experience post PhD (industry or postdoc).
• 2-5 years experience in multi-omics data analysis including bulk and single-cell transcriptomics- a must
• Expertise in current bioinformatics and computational biology tools, methods, and applications; Strong ability to develop and test data analysis code (R or Python's pandas) - a must
• Expertise in distilling multi-faceted analyses into concrete conclusions with effective data visualizations and presentations - a must
• Excellent verbal and written communication skills to represent Immunai to external collaborators as well as operate effectively on a diverse and collaborative internal team - a must
Nice-to-haves
• Background in ML/AI - preferred
• Experience with AI-assisted coding (ex. cursor) - preferred
• Background in cancer immunotherapy and/or autoimmune disease applications is a bonus
Benefits
• Base salary typically between \$130,000 - \$150,000
• Opportunity to consider higher compensation above this range based on business need, candidate experience, and or skills.