Computational Immunologist - Machine Learning Scientist - Biostatistician

April 16

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Convergent Research

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Non-profit • Science • Technology

Convergent Research is a nonprofit organization that supports the creation and operation of Focused Research Organizations (FROs). These are new types of scientific startups dedicated to tackling large-scale, coordinated projects in science and technology. The organization aims to produce high-impact public goods and drive forward technically ambitious projects led by teams of scientists, engineers, and entrepreneurs. Convergent Research operates with a focus on achieving pre-specified, quantifiable technical milestones within finite-duration projects. It is supported by significant funding from notable entities, including investment by influential figures in the science and tech communities.

11 - 50 employees

🤝 Non-profit

🔬 Science

📋 Description

• 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 with experience in the computational modeling and analysis of large-scale biological datasets, preferably with expertise in structural models or experience in user interactions. • The successful candidate will develop novel mathematical, simulation, and machine-learning methods to advance the understanding of adaptive immune receptor repertoires. • You will work closely with other computational and experimental scientists to develop groundbreaking new insights into adaptive immunity. • It would be ideal for the candidate to be based in Germany or elsewhere in Europe, since the majority of the computational team is based there, but we are open to exceptional candidates in 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)

🏖️ 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