Senior Scientist, Computational Sciences – Computational Antibody Discovery and Design
Cambridge Crossing, United States
USD 148K-179K Senior-level Full Time
Tasks
- Build bioinformatics and machine learning solutions for biotherapeutics
- Communicate scientific findings and propose follow up actions
- Develop predictive models for antibody repertoire characterization
- Implement scalable bioinformatics pipelines for antibody repertoire sequencing
- Own computational workflows for antibody hit discovery
- Partner with scientists to design computational experiments
Perks/Benefits
Skills/Tech-stack
Annotation | Bioinformatics | CWL | Clustering | Data Analysis | Exploratory Data Analysis | Language Models | Machine Learning | NGS Data | NGS Data Analysis | Next-Generation Sequencing | Nextflow | OAS | Protein Data | Protein Data Bank | Protein Language Models | Python | R | SAbDab | Sequence Alignment | Structure prediction | WDL | X
Education
Roles
Biologist | Computational Biologist | Scientist | Senior Scientist
Regions
Countries
States
Cities
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