Principal Scientist, Computational Biology, External Collaborations

Immunai
Location
New York, NY
Job Type
Full-time
Posted
June 11, 2026
Views
3
Salary Range
$160k - $190k USD

Job Description

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 Principal Computational Biologist, you will join a fast-moving, highly visible research team at the intersection of AI, immunology, and drug development that is working to transform the way therapies are discovered, developed, and delivered.

You will design and deploy novel analytical frameworks, AI-enabled scientific workflows, and computational strategies. Your work will unlock the full potential of Immunai's platform and unique data assets to tackle the most challenging problems in translational medicine.

This role is ideal for someone who loves operating at the frontier—combining deep biological intuition, computational creativity, and emerging AI capabilities to generate insights that can influence clinical development decisions and ultimately improve patient outcomes.

Location: New York City, NY (Hybrid model)

  • What will you do?
  • Design and deploy innovative, state-of-the-art analytic approaches, including computational pipelines and agentic workflows, that improve outcomes for industry partnerships.
  • Standardize and operationalize reusable approaches that can be broadly adopted across projects to improve scalability, reproducibility, and scientific consistency.
  • Leverage agentic workflows to amplify the team’s analytical speed, creativity, and automation, contributing to a culture of technical excellence and continuous improvement.
  • Establish blueprints for platform innovation and drive implementation with R&D cross-functional stakeholders.

Requirements

Required qualifications

  • PhD in computational biology, computer science, or related field, with 8+ years relevant experience including at least 3+ years of industry
  • Strong coding abilities (Python required, R a plus)
  • Creative and innovative mindset - AI-first, with demonstrated track record of pushing scientific and technical boundaries
  • Experience designing and implementing agentic workflows with appropriate human-in-the-loop checkpoints
  • Hands-on experience with machine learning methodologies and the ability to adapt, utilize and extend internal modeling frameworks
  • Demonstrated experience translating technical work to clear, high-impact outcomes
  • Expertise in distilling multi-faceted analyses into concrete conclusions with effective data visualizations and presentations.

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 $160,000 and $190,000. There is an opportunity to consider higher compensation above this range based on business need, candidate experience, and or skills.

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 Principal Computational Biologist, you will join a fast-moving, highly visible research team at the intersection of AI, immunology, and drug development that is working to transform the way therapies are discovered, developed, and delivered.

You will design and deploy novel analytical frameworks, AI-enabled scientific workflows, and computational strategies. Your work will unlock the full potential of Immunai's platform and unique data assets to tackle the most challenging problems in translational medicine.

This role is ideal for someone who loves operating at the frontier—combining deep biological intuition, computational creativity, and emerging AI capabilities to generate insights that can influence clinical development decisions and ultimately improve patient outcomes.

Location: New York City, NY (Hybrid model)

  • What will you do?
  • Design and deploy innovative, state-of-the-art analytic approaches, including computational pipelines and agentic workflows, that improve outcomes for industry partnerships.
  • Standardize and operationalize reusable approaches that can be broadly adopted across projects to improve scalability, reproducibility, and scientific consistency.
  • Leverage agentic workflows to amplify the team’s analytical speed, creativity, and automation, contributing to a culture of technical excellence and continuous improvement.
  • Establish blueprints for platform innovation and drive implementation with R&D cross-functional stakeholders.

Requirements

Required qualifications

  • PhD in computational biology, computer science, or related field, with 8+ years relevant experience including at least 3+ years of industry
  • Strong coding abilities (Python required, R a plus)
  • Creative and innovative mindset - AI-first, with demonstrated track record of pushing scientific and technical boundaries
  • Experience designing and implementing agentic workflows with appropriate human-in-the-loop checkpoints
  • Hands-on experience with machine learning methodologies and the ability to adapt, utilize and extend internal modeling frameworks
  • Demonstrated experience translating technical work to clear, high-impact outcomes
  • Expertise in distilling multi-faceted analyses into concrete conclusions with effective data visualizations and presentations.

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 $160,000 and $190,000. 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 Comeet. You can read more about how we process personal data here: https://www.immunai.com/privacy-policy/

Frequently Asked Questions

Where is the job located, and is it remote/hybrid/on-site?
The position is located in New York, NY, and operates under a hybrid work model.
What are the key responsibilities of this role?
You will design and deploy innovative computational pipelines and agentic workflows for industry partnerships, standardize reusable analytical approaches for scalability, leverage agentic workflows to increase automation, and establish blueprints for platform innovation alongside R&D stakeholders.
What qualifications and experience are required?
You need a PhD in computational biology, computer science, or a related field, with 8+ years of relevant experience (including 3+ years in industry). Requirements include strong Python coding skills, experience designing agentic workflows, hands-on experience with machine learning, and a track record of translating technical work into high-impact outcomes.
What is the compensation range for this position?
The base salary typically ranges between $160,000 and $190,000. There is also an opportunity to consider higher compensation above this range based on business need, candidate experience, and skills.

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Job Information

Source: manual
AI Relevance: 95/100 (Highly relevant)
Remote Type: hybrid
Experience: Senior
Allowed Locations: Worldwide
Skills & Tags:
computational biology single-cell immunology machine learning AI drug discovery external collaborations

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