IMPRINT is a biomedical Focused Research Organization (FRO) studying the hidden causes of chronic disease, especially autoimmune and psychiatric disorders. Our work involves cutting-edge research at the intersection of immunology, neuroscience, and behavior.
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.
Primary Responsibilities
Develop mathematical, computational, and machine learning approaches for modeling large-scale immune receptor sequence and/or structural dataDevelop novel simulation frameworks for immune repertoire analysisPerform deep and detailed analyses for data-intensive experimentsPrepare large-scale datasets for internal and external usageExpand own knowledge base with new methods and concepts to tackle evolving research questions and demands for collaboration
Qualifications
Ph.D. in computational biology, physics, mathematics, statistics, computer science, or related fields is requiredProven track record of developing computational analyses for biological dataBackground in machine learningProficiency with Python, associated analyses and visualization packages, as well as command lineProficiency in high-performance computingProficiency with good practices for reproducible research (git, Jupyter)
Preferred Qualifications
Expertise with sc-RNAseq dataExpertise in immunologyExpertise in immune receptor biology and data analysisExpertise in structural modelsExperience with cloud computing platformsExperience with DockerExperience 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 countryGenerous time off + paid holidaysA supportive environment to learn and develop new skillsAn opportunity to participate in high-impact, fast-paced, cutting-edge, collaborative team science; contribute to curing disease; and work with leading experts from different fieldsThe opportunity to contribute to scientific publications
