Tome Biosciences is the programmable gene insertion company. Using CRISPR, our technologies allow us to insert any genetic sequence of any size at any location into any genome. We are writing the final chapter in genomic medicines, delivering cures to patients through cell and genome engineering.
Data Scientist, Bioinformatics
Tome Biosciences specializes in programmable insertion of genes using CRISPR. Our technologies enable us to insert any genetic sequence, regardless of size, into any genome at any location. We are at the forefront of genomic medicine, using cell and genome engineering to deliver cures to patients. At Tome, we prioritize research and collaboration, and offer a positive work culture, competitive compensation, and a flexible hybrid working environment.
Tome is seeking a talented Bioinformatics Data Scientist to join our growing team and play a crucial role in the expansion of our platform. In this role, you will be responsible for developing innovative pipelines, analyzing omics data, and using data science tools to optimize and scale our operations. We value creativity, problem-solving ability, and adaptability, and are looking for someone who can thrive in this dynamic and constantly evolving field. As a Bioinformatics Data Scientist at Tome, you will have the opportunity to contribute to the design and evolution of our core libraries and platform.
- Manage and automate storing and integrating data into databases hosted in the Cloud.
- Interpret omics data and create compelling graphical visualizations for presentations.
- Collaborate with the team to contribute to the further development of computational infrastructure.
- Help with the development of machine learning predictive models that inform future expansion of the
guide RNA designs to optimize gene insertion efficacies.
- Partner with the Genomics teams to develop experimental hypotheses and help design computational
pipelines to analyze the outcomes.
- M.Sc. or Ph.D. in STEM disciplines. A strong analytical background is highly desired.
- Basic knowledge in one or more programming languages is required. Our primary codebase is in Python.
- Motivated and team oriented, with the ability to thrive in a multidisciplinary environment.
- Excellent communication and presentation skills. Must be able to speak “biology” and “programming.”
- Must be able to think independently and work collaboratively.
- Experience with metagenomics data and handling and analyzing large multiomics datasets is a big plus.
- Familiarity with development of machine learning models is a big plus (Tensorflow or Pytorch frameworks).
- Experience working within a cloud computing environment (AWS).
- Knowledge of SQL and data architecture engineering is a big plus.
- Experience with very basic software development best practices (e.g., git).