Computational Biologist / Machine Learning Scientist / Biostatistician - Remote

Overview

IMPRINT is a biomedical Focused Research Organization (FRO) studying the hidden causes of chronic disease, especially autoimmune and psychiatric disorders. We are looking for a Computational Biologist/Machine Learning Scientist/Biostatistician to develop novel mathematical, simulation, and machine-learning methods to advance the understanding of adaptive immune receptor repertoires.

In Short

• 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 knowledge base with new methods and concepts for evolving research questions.

Requirements

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

Benefits

• Competitive compensation: $90,000 - $120,000 a year.
• Excellent medical, dental, and vision insurance for US-based candidates.
• Generous time off + paid holidays.
• A supportive environment to learn and develop new skills.
• Opportunity to participate in high-impact, collaborative team science.
• Opportunity to contribute to scientific publications.