Mass General Brigham Incorporated is seeking an AI Scientist and Engineer to develop AI solutions for gene and cell therapy, support computational efforts, and help shape strategic directions for the newly created Gene and Cell Therapy Institute (GCTI). The role aims to leverage AI and machine learning to advance gene therapy, cell therapy, stem cell biology, regenerative medicine, and biomanufacturing by developing predictive and generative models for biological data.
Requirements
- Strong programming skills and experience with machine learning frameworks
- Expertise in processing and analyzing single cell data
- Familiarity with deep learning models and their applications in biological data
- Experience with large-scale data management and computing clusters
- Ph.D. in Computer Science, Computational Biology, Bioinformatics, or a related field required
- Previous Research experience 5-7 years required
- Knowledge of molecular biology, stem cell biology, gene therapy, and/or cell therapy is highly desirable
Responsibilities
- Develop models to understand and model large amounts of biological data, including single-cell, genomics, and transcriptomic data.
- Develop predictive and generative models that can program biology and enable new technologies and therapeutics.
- Support general computational efforts within the institute.
- Contribute to developing AI solutions for gene and cell therapy.
- Mentor a team of data analysts in statistical analysis, study design, and coding.
- Identifies, assimilates, and synthesizes data needed for computer models and manages databases relating to statistical and related software.
- Design, execute and interpret research experiments
Other
- This role is hybrid with 4 days onsite and 1 day remote.
- Excellent communication skills and ability to collaborate with multidisciplinary teams
- Strong organizational and project management abilities
- Ability to manage small teams towards high-level goals and priorities
- Demonstrated ability to work in a fast-paced, dynamic research environment