Senior Scientist, Systems Immunology

4 days ago Be among the first 25 applicants

This range is provided by Immunai. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

$/yr - $/yr

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 Senior 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 directly with one of our big pharma partners on a diverse set of projects related to cancer immunology.

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

Reporting to: Systems Immunology Team Lead, Collaborations

What will you do?

• Work on a collaboration with AstraZeneca to answer questions related to mechanism of action, dose selection, and biomarker identification for drugs developed in their oncology group. More details on the collaboration here:
  AstraZeneca extends AI immuno-oncology R&D pact with Immunai
• 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
• 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 concepts and findings to external stakeholders in the form of presentations and data reports
• Independently advise computational teams on matters of immunology

Required qualifications:

• Ph.D. related to immunology and a minimum of 5-6 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 (preferred) 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 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 and $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 Comeet. You can read more about how we process personal data here:

• Medical insurance
• Vision insurance
• 401(k)
• Pension plan
• Paid maternity leave