Computational Biologist II, External Collaborations
Confirmed on the employer's own hiring board on Oct 20, 2026. First seen by Alion on Aug 3, 2026.
Description
About Immunai:
Immunai is an AI-driven platform company focused on improving drug discovery and development by decoding the human immune system.
We combine large-scale single cell immune data, advanced machine learning, and strong engineering to help pharmaceutical and research partners make better, more informed decisions throughout the drug development process.
Our long-term goal is to reduce drug development failure rates and help more effective medicines reach patients. We’re building this platform thoughtfully and collaboratively, bringing together expertise across biology, AI, engineering, and business.
Immunai is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
About the role:
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.
Watch the video to learn more about Immunai's culture, and how the External Collaborations team is driving the next generation of oncology and immunology discoveries.
Location: New York, NY (Hybrid model)
Reporting to: Associate Director, Computational Biology
What will you do?
- 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
Required qualifications:
- 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
Desired personal traits:
- 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
Compensation: 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.
*Please note that when you apply for a position at Immunai, your application will be processed via our recruitment platform Spark Hire. You can read more about how we process personal data here: https://www.immunai.com/privacy-policy/