Offer summary

Qualifications:

8–10 years of experience in multi-omic data analysis, including bulk and single-cell transcriptomics., Strong coding skills in R or Python and expertise in bioinformatics tools and methods., Background in machine learning methodologies with a continued interest in applying ML approaches., Excellent communication skills and experience leading large-scale projects, with a strong interest in biology and immunology..

Key responsibilities:

Lead data analysis projects related to immuno-oncology collaborations, particularly with AstraZeneca.

Collaborate with stakeholders to define research objectives and analysis plans, and execute data analyses using state-of-the-art methods.

Mentor and guide junior team members on analytical strategies and project execution.

Communicate findings through presentations and reports, and develop new analytical approaches to enhance Immunai's capabilities.

Job description

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:

You will be joining a fast-paced and research-driven external collaborations team to lead projects related to our partnership with AstraZeneca. You will be working with biologists, immunologists, computational biologists, and machine learning specialists on the joint project team to design, execute, and disseminate data analyses that leverage single cell multi-omics for immuno-oncology applications. In addition to hands-on work, you will help to develop junior computational biologists on the team by providing frequent guidance on analytical strategies, execution plans, and results. The successful candidate will deliver high quality analysis results to our partners, help optimize the performance of the team as a whole, and influence the technical directions of our AstraZeneca partnership.

Location: New York City, NY (Hybrid model)

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
Liaise with external and internal stakeholders to define research objectives and analysis plans
Execute rigorous and reproducible data analysis using state of the art methods
Collaborate with stakeholders across software engineering, computational biology, immunology, and wet lab experimentalists throughout the life cycle of each project to ensure successful delivery
Mentor and provide technical guidance to team members
Clearly communicate findings to external stakeholders in the form of presentations and data reports
Devise and implement new approaches to push the boundaries of Immunai’s capabilities
Champion Immunai core values

Requirements

Required qualifications:

8–10 years of experience in multi-omic data analysis, including bulk and single-cell transcriptomics (MSc with 6+ years or PhD with 2+ years postdoc or industry experience); biotech or pharma background is a strong plus
Expertise in bioinformatics tools, methods, and applications; strong coding skills in R or Python
Background and experience with machine learning methodologies and continued interest in learning and applying ML approaches
Proven ability to synthesize complex analyses into clear conclusions with compelling visualizations and presentations
Experience leading large-scale projects, shown through first-author publications and/or industry project leadership
Strong interest in biology and immunology; immuno-oncology research experience is a plus
Excellent verbal and written communication skills for both internal collaboration and external representation
Strong organizational and time management skills; ability to multitask and work independently
Experience in mentoring others throughout the research process; management experience is a plus

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 $150,000 and $165,000. 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/

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