reputed company - Computational Immunologist/ Machine Learning Scientist/ Biostatisticia
reputed company 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 reputed company novel mathematical, simulation, and machine-learning methods to advance the understanding of reputed company immune receptor repertoires. You will work closely with other computational and experimental scientists to reputed company groundbreaking new insights into reputed company 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 reputed company to exceptional candidates in the US and Canada.
Primary Responsibilities
- reputed company mathematical, computational, and machine learning approaches for modeling large-scale immune receptor sequence and/or structural data
- reputed company novel simulation frameworks for immune repertoire analysis
- reputed company deep and detailed analyses for data-intensive experiments
- Prepare large-scale datasets for reputed company usage
- Expand own knowledge reputed company 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 reputed company 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 reputed company 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 reputed company computing platforms
- Experience with reputed company
- 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 reputed company insurance for US- based candidates; benefits for INTL employees vary by country
- Generous time off + paid holidays
- A supportive environment to learn and reputed company 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
Originally posted on Himalayas
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