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Position Will Be Hired Commensurate With Experience

About Immunai:

Immunai is an engineering-first platform company aiming to improve therapeutic decision-making throughout the drug discovery and development process. We are mapping the immune system at unprecedented scale and granularity and applying machine learning to this massive clinico-immune database, in order to generate novel insights into disease pathology for our partners - pharma companies and research institutes. We provide a comprehensive, end-to-end solution - from data generation and curation to therapeutics development, that continuously supports and validates the capabilities of our platform.

As drug development is becoming increasingly inefficient, our ultimate goal is to help bring breakthrough medicines to patients as quickly and successfully as possible.

About the role:

As a Senior Computational Biologist 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.

Location: New York City (ideally) or remote (must live on East Coast)

What will you do?

• Drive novel research by leading computational biology efforts for industry and academic 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 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:

Required qualifications:

• Experience in multi-omic data analysis including bulk and single-cell transcriptomics (8-10 yrs relevant experience; MSc w/ 6+ yrs experience or PhD w/ 2+ years postdoctoral experience)
• 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)
• Background and experience with machine learning methodologies and continued interest in learning and applying ML approaches
• Expertise in distilling multi-faceted analyses into concrete conclusions with effective data visualizations and presentations
• Experience leading large scale initiatives and projects demonstrated through first author peer-reviewed publications in relevant subject areas and/or project lead roles in industry positions
• Keen interest in biology and immunology with demonstrated research experience in immuno-oncology and/or autoimmune diseases; experience in CAR-T biology is a plus.
• Excellent verbal and written communication skills to represent Immunai to external collaborators as well as operate effectively on a diverse and collaborative internal team
  
  

Desired personal traits:

• You want to make an impact on humankind
• You prioritize “We” over “I”
• You enjoy getting things done - with super high quality
• You collaborate effectively with people of diverse backgrounds and cultures
• You have superior skills and experience, and constantly strive to be world-class in what you do
• You constantly challenge your own assumptions, pushing for continuous improvement
• You have a growth mindset
• You make decisions that favor the company, not yourself or your team
• You are candid, authentic, and transparent
  
  

Compensation: This position offers a base salary typically between $120,000 and $160,000. There is an opportunity to consider higher compensation above this range based on business need, candidate experience, and or skills.