Senior Scientist / Scientist II, Systems Immunology

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.

About the role

We seek an exceptionally motivated Senior Scientist / Scientist II, 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. Location: New York, NY (Hybrid position). Reporting to: Principal, Translational Immunology Lead.

What will you do?

• Serve as an immunology subject-matter expert on internal and external collaboration projects
• Utilize your computational skills as part of 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 with the goal of generating actionable recommendations to inform drug development
• Take an active role in shaping Immunai's bioinformatic platforms to reflect immunological insights
• Clearly communicate concepts and findings to external stakeholders in the form of presentations and data reports
• Perform literature reviews to maintain a deep understanding of project-specific immunological concepts, and a broad understanding of the field as it relates to immunotherapies, immunology, and single-cell technologies
• Independently advise computational teams on matters of immunology

Required qualifications

• Ph.D. in immunology or a closely related field - A MUST
• A minimum of 3-6 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, presentation, analytical, and problem-solving skills

Compensation: This position offers a base salary typically between $130,000 and $150,000, with the opportunity for higher compensation based on business need, candidate experience, and/or skills.