Computational Immunologist, Machine Learning Scientist, Biostatistician

Summary

Join IMPRINT, a biomedical Focused Research Organization (FRO) dedicated to understanding the causes of chronic diseases, particularly autoimmune and psychiatric disorders. We are seeking a Computational Biologist/Machine Learning Scientist/Biostatistician with expertise in computational modeling and analysis of large-scale biological datasets, particularly those involving structural models or user interactions. The successful candidate will develop innovative mathematical, simulation, and machine-learning methods to enhance our understanding of adaptive immune receptor repertoires. You will collaborate closely with other computational and experimental scientists to generate groundbreaking insights into adaptive immunity. While the majority of our computational team is based in Germany or Europe, we welcome exceptional candidates from the US and Canada.

Requirements

• Ph.D. in computational biology, physics, mathematics, statistics, computer science, or related fields is required
• Proven track record of developing computational analyses for biological data
• Background in machine learning
• Proficiency with Python, associated analyses and visualization packages, as well as command line
• Proficiency in high-performance computing
• Proficiency with good practices for reproducible research (git, Jupyter)

Responsibilities

• Develop mathematical, computational, and machine learning approaches for modeling large-scale immune receptor sequence and/or structural data
• Develop novel simulation frameworks for immune repertoire analysis
• Perform deep and detailed analyses for data-intensive experiments
• Prepare large-scale datasets for internal and external usage
• Expand own knowledge base with new methods and concepts to tackle evolving research questions and demands for collaboration

Preferred Qualifications

• Expertise with sc-RNAseq data
• Expertise in immunology
• Expertise in immune receptor biology and data analysis
• Expertise in structural models
• Experience with cloud computing platforms
• Experience with Docker
• Experience with user interactions

Benefits

• Competitive compensation: $90,000 - $120,000 a year (salary commensurate with relevant experience and adjusted for location)
• Excellent medical, dental, and vision insurance for US- based candidates; benefits for INTL employees vary by country
• Generous time off + paid holidays
• A supportive environment to learn and develop new skills
• An opportunity to participate in high-impact, fast-paced, cutting-edge, collaborative team science; contribute to curing disease; and work with leading experts from different fields
• The opportunity to contribute to scientific publications