Position Overview:
Beam seeks an innovative, collaborative and accomplished computational scientist to support the development of novel gene editing therapies using our next-generation gene editing technology. The individual in this position will play a key role in Beam’s target ID and engineering efforts by developing and deploying computational modeling approaches to optimize base editors and other therapeutically relevant proteins, such as antibodies and chimeric antigen receptors.
Primary Responsibilities:
- Perform structural analysis of proteins and ribonucleoproteins to identify key residues and regions of interest for engineering of base editors and other biotherapeutics.
- Deploy modeling software (e.g., Rosetta) to evaluate engineering strategies and generate designs for improved base editors and other proteins of interest.
- Develop and apply machine learning methods for protein engineering to leverage existing and emerging data.
- Perform analysis, design, and optimization for antibodies, TCR, and CAR-T applications.
- Work closely with Structural Biology, Biotherapeutics, and the Gene Editing Platform teams to test computational hypotheses and models.
- Communicate scientifically rigorous findings via verbal and written communications, visualizations, and presentations.
Qualifications:
- A Ph.D. in Bioinformatics, Computational Structural Biology, Computational Chemistry, Biophysics, or other relevant field.
- Proficient in programming or scripting, preferably in Python.
- Industry experience is preferred.
- Robust knowledge of computational modeling and protein engineering.
- Strong scientific background and publication record demonstrating applications of structural modeling.
- Ability to work independently while also building relationships with colleagues.
