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Scientist II, Systems Immunology

Immunai

Immunai

New York, NY, USA
USD 125k-140k / year
Posted on Jan 30, 2026

Description

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.

Immunai is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

About the role:

We seek an exceptionally motivated Systems Immunologist to join our team of talented researchers in a highly collaborative startup environment at the intersection of immunology, AI, and new genomic technologies. This position offers an opportunity to work on a diverse set of projects related to human immunology, with a focus on cancer immunology and autoimmunity, in support of multiple projects.

Location: New York, NY (Hybrid position, must be based in New York City)

Reporting to: Systems Immunology Team Lead, External Collaborations

What will you do?

  • Work on various clinical collaborations with pharma partners related to drug mechanism of action, dose selection, and biomarker identification.
  • Contribute to project planning as an immunology expert; including goals, activities, and timelines, with limited involvement from the direct manager.
  • Lead the translation of data analysis to biological insights with the goal of generating actionable recommendations to inform drug development.
  • Perform literature reviews to establish and maintain a deep understanding of project-specific immunological concepts, and simultaneously maintain a broad understanding of the most current updates in the field, specifically as it relates to immunotherapies, immunology, and single-cell technologies.
  • Clearly communicate findings to external stakeholders in the form of presentations and data reports.
  • Advise computational teams on matters of immunology.
  • Take an active role in shaping Immunai’s bioinformatic platforms to reflect immunological insights.

Requirements

Required qualifications:

  • Ph.D. related to immunology and a minimum of 2-5 years related experience (postdoc or industry) - A MUST
  • Experience dealing with NGS data (especially single-cell RNA sequencing) including coding and data analysis in R or python - A MUST
  • Strong analytical skills, problem-solving ability, attention to details, and innovation aptitude
  • Excellent communication and presentation skills
  • Excellent interpersonal skills and ability to work effectively as part of a team
  • Excellent organization and time management skills, with an ability to multitask
  • Ability to work independently with minimal supervision

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 $125,000 and $140,000. 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/