The Role

Life Edit Therapeutics seeks to hire a data scientist in the computational biology domain with a background in genomics and data engineering to help discover and engineer proteins to become important components of Life Edit Therapeutics’ gene editing technology portfolio. We value curiosity, enthusiasm, and high emotional intelligence. The ideal candidate is driven to learn, work collaboratively, and take on difficult challenges. Candidates should possess a combination of professional experience in interpreting biological sequence information and scientific software engineering. A willingness to embrace our cultural values will be critical for success in this role. This position will contribute to Life Edit's technology platform with focus on leveraging protein language models and conventional machine learning as it relates to protein engineering. Life Edit Therapeutics is a dynamic and intellectually challenging workplace with projects that span discovery and development of novel gene editing tools to therapeutic applications for clinical indications.

Here’s What You Will Do

Contribute to the discovery and engineering of proteins for Life Edit Therapeutics’ industry leading gene editing portfolio
Impact our protein engineering and discovery strategies based on previous experience and familiarity with state-of-the-art computational approaches
Create and operate genomics pipelines to analyze protein discovery and engineering data
Maintain a current understanding of relevant scientific literature
Work closely with wet-lab scientists to develop tools and infrastructure to support laboratory operations
Present work at company-wide meetings

Requirements

PhD in computational biology or a related field with 0-5 years of post-graduate school experience
Experience with Python, specifically the Python data science technology stack:
- Pandas/Polars, Altair/Matplotlib, Dash/Streamlit, etc.
Domain expertise in genomics, bioinformatics, or related discipline
Demonstrated ability and desire to collaborate in a team-oriented and fast paced environment

Preferred Qualifications

Experience with CRISPR editing is preferred
Familiarity with the Python ecosystem for machine learning and neural networks (e.g. PyTorch/Scikit-Learn)
Experience working in a cross-disciplinary genomics research team
Experience managing cloud infrastructure
State-of-the-art knowledge in biological sequence analysis
Exceptional oral and written communication skills

Why join Life Edit and the ElevateBio ecosystem?

Life Edit Therapeutics is an integrated subsidiary of ElevateBio, a technology-driven cell and gene therapy company that is accelerating access to the cutting-edge technologies and expertise that can change the future of medicine. Our integrated model combines multiple R&D technology platforms – including Life Edit gene editing – and cGMP manufacturing to power the discovery and development of advanced therapeutics. Our ecosystem is designed to enhance speed, delivery, and probability of success to change patient lives.

Life Edit is an integral part of ElevateBio’s ecosystem of platform technologies and is pioneering focused next-generation gene editing technologies and therapeutics. Located in Durham, NC, members of Life Edit work closely with the ElevateBio Research and Development and BaseCamp manufacturing teams in Waltham, MA. Life Edit is advancing therapeutic programs in collaboration with industry partners while building its own internal pipeline of gene editing therapies. We are looking for a unique individual who can continue to lead the cultural development of Life Edit and build on its momentum as an integral part of the ElevateBio ecosystem.

Our Mission

To power the creation of life-transforming cell and gene therapies, at a speed the world deserves.

Our Vision

We seek to be the world’s most indispensable cell and gene therapy technology company, redefining how companies operate, how products are created and how disease is treated.

ElevateBio is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person’s race, color, gender, age, religion, national origin, ancestry, disability, veteran status, genetic information, sexual orientation or any characteristic protected under applicable law. ElevateBio will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law.

Life Edit Therapeutics jobs

Data Scientist II, Computational Biology