Scientist II, Systems Immunology – Single-Cell & AI

Immunai; New York (NY); Hybrid; USD 130,000 - 140,000; Full time

Job summary

Immunai, Inc. in New York, NY, seeks a Scientist II, Systems Immunologist to join a collaborative startup environment at the intersection of immunology, AI, and new genomic technologies.

The role focuses on cancer immunology and autoimmunity, supporting multiple projects with hybrid work arrangements. You will translate data into actionable insights for drug development and help advance bioinformatic platforms.

Qualifications

• Ph.D. in immunology or closely related field - A MUST.
• 2-5 years of related experience (postdoc or industry).
• Hands-on experience with single-cell RNA sequencing including coding and data analysis in R (preferred) or Python - A MUST.
• Experience with multimodal single-cell data such as CITE-seq, TCR/BCR-seq, or spatial approaches is a plus.
• Excellent communication and presentation skills.
• Strong analytical and problem-solving skills; detail-oriented and innovative.

Responsibilities

• Serve as an immunology subject-matter expert on internal and external collaboration projects.
• Contribute to the External Collaborations dry lab team (Systems Immunologists & Computational Biologists).
• Independently contribute to project planning, including goals, activities, and timelines
• Lead the translation of data analysis to biological insights to inform drug development
• Shape Immunai’s bioinformatic platforms to reflect immunological insights
• Communicate concepts and findings to external stakeholders via presentations and data reports
• Perform literature reviews to stay current in immunology and single-cell technologies
• Advise computational teams on immunology matters

Skills

Single-cell RNA-seq

R programming

Python programming

Data analysis

Education

Ph.D. in immunology

Tools

CITE-seq

TCR-seq

BCR-seq

Spatial transcriptomics

Job description

Immunai, Inc. in New York, NY, seeks a Scientist II, Systems Immunologist to join a collaborative startup environment at the intersection of immunology, AI, and new genomic technologies.

The role focuses on cancer immunology and autoimmunity, supporting multiple projects with hybrid work arrangements. You will translate data into actionable insights for drug development and help advance bioinformatic platforms.