Computational Biologist II, External Collaborations

About the role

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
• 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

Qualifications

• You want to make an impact on humankind
• You prioritize “We” over “I”
• You enjoy getting things done and striving for excellence
• You collaborate effectively with people of diverse backgrounds and cultures
• You have a growth mindset
• You are candid, authentic, and transparent

Pay

This position offers a base salary typically between $130,000 - $150,000. There is an opportunity to consider higher compensation above this range based on business need, candidate experience, and or skills.