IMPRINT is a biomedical Focused Research Organization
[https://www.convergentresearch.org/about-fros] (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.
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Primary 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
Qualifications
- 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)
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
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$90,000 - $120,000 a year
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