Computational Biologist II, External Collaborations

Immunai

$130K — $150K *
Pharmaceuticals & Biotech
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • PhD preferred in Bioinformatics, Computational Biology, or Statistics with 2-5 years of related experience post-PhD.
  • 2-5 years of experience in multi-omics data analysis, specifically bulk and single-cell transcriptomics.
  • Proficient in bioinformatics tools and programming skills in R or Python's pandas for data analysis.
  • Strong background in data visualization techniques to distill complex analyses into actionable insights.
  • Excellent communication skills for collaboration and presenting findings to external stakeholders.

Responsibilities

  • Lead computational biology efforts for industry partnerships focused on immuno-oncology and autoimmune diseases.
  • Define research objectives and analysis plans by liaising with external and internal stakeholders.
  • Conduct rigorous and reproducible data analyses using advanced statistical and ML/AI methods.
  • Collaborate closely with a multidisciplinary internal team throughout project lifecycles.
  • Communicate findings to stakeholders through presentations and data reports.
  • Innovate and implement new methods to enhance Immunai's research capabilities.
  • Promote Immunai's core values consistently.

Benefits

  • Hybrid work model based in New York, NY.
  • Opportunity to lead and influence impactful research.
  • Access to a dynamic, multidisciplinary team environment.
  • Involvement in cutting-edge research in immuno-oncology and autoimmune diseases.
Full Job Description
Description

About the role:

As a Computational Biologist II at Immunai, you will be working in a fast-paced and research-driven external collaborations team to lead projects with our pharma, biotech, and academic partners. Through this position, you will have the opportunity to work with biologists, immunologists, computational biologists, machine learning specialists, and the business development team to design, execute, and disseminate data analyses leveraging single cell multi-omics for immuno-oncology and autoimmune disease research applications.

Location: New York, NY (Hybrid model)

Reporting to: Associate Director, Computational Biology

What will you do?

  • Drive novel research by leading computational biology efforts for industry partnership projects in immuno-oncology and autoimmune diseases
  • Liaise with external and internal stakeholders to define research objectives and analysis plans
  • Execute rigorous and reproducible data analysis using state of the art statistical and ML/AI methods
  • Maintain close collaboration with a highly multidisciplinary internal team throughout the life cycle of each project to ensure successful delivery
  • 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:

  • PhD (preferred in Bioinformatics/Computational Biology/Statistics) and a minimum of 2-5 years related experience post PhD (industry or postdoc).
  • 2-5 years experience in multi-omics data analysis including bulk and single-cell transcriptomics- a must
  • Expertise in current bioinformatics and computational biology tools, methods, and applications; Strong ability to develop and test data analysis code (R or Python's pandas) - a must
  • Expertise in distilling multi-faceted analyses into concrete conclusions with effective data visualizations and presentations - a must
  • Excellent verbal and written communication skills to represent Immunai to external collaborators as well as operate effectively on a diverse and collaborative internal team - a must
  • Background in ML/AI - preferred
  • Experience with AI-assisted coding (ex. cursor) - preferred
  • Background in cancer immunotherapy and/or autoimmune disease applications is a bonus

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 $130,000 - $150,000. There is an opportunity to consider higher compensation above this range based on business need, candidate experience, and or skills.

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