Job Description
Scribe Therapeutics is a molecular engineering company focused on creating best-in-class in vivo therapies that permanently treat the underlying cause of disease. Founded by CRISPR inventors and leading molecular engineers Benjamin Oakes, Brett Staahl, David Savage, and Jennifer Doudna, Scribe is overcoming the limitations of current genome editing technologies by developing custom engineered enzymes and delivery modalities as part of a proprietary, evergreen CRISPR by Design™ platform for CRISPR-based genetic medicine.
We are seeking a highly creative, passionate, and motivated individual to join us in our quest to develop the next generation of CRISPR-based therapeutics. The current role is for a
Sr. Scientist , Bioinformatics to join our team and advance our platform. The candidate should have a passion for working collaboratively with biologists and bioengineers to enable building the necessary tools for meeting the new frontier of CRISPR-based therapeutics. Additionally, the candidate would bring expertise in pipeline development and statistical analysis for multi-omics data, data integration, and systems biology. This candidate will work closely with the computational team as well as disease expert biologists to develop our internal platform for engineering our molecules as well as develop tools for assessing their safety and efficacy.
The candidate will have numerous opportunities for professional growth in a rapidly growing biotechnology start-up, which includes growing into a leadership role of increasing responsibilities and the ability to publish highly impactful work in peer reviewed journals.
Key Responsibilities: - Collaborate closely with cross-functional teams and proactively apply expertise in computational biology/bioinformatics to make a significant impact on Scribe's gene editing pipelines
- Create computational pipelines to analyze multi-omics data, encompassing genomic and epigenomic information
- Construct systems biology approaches to analyze integrative genomic and epigenomic datasets, aiming to deepen our comprehension at the molecular level regarding how our molecules alter the underlying genomic factors contributing to diseases
- Own the data workflow for some of our lead therapeutic programs by contributing to experimental design, primary analysis, and generating and communicating insights
- Use statistical methods and biological knowledge to generate new hypotheses and design experiments to test them
- Build out our internal computational platform to allow scalable analysis and integration with automation
- Effectively collaborate with members within a fully integrated team to facilitate execution on projects within established timelines
- Foster a driven, fast-paced, dynamic, and fun environment in which to do rigorous science
Required Skills and Background: - PhD with at least 5 years of experience working in an academic or industry lab, with a proven track record of hands-on experience developing computational algorithms and statistical analysis for genomic datasets
- 5+ years experience in computational and statistical programming (python or R preferred), unix command line, bioinformatic toolkits, version control systems (e.g. git), and workflow management (e.g. nextflow)
- Strong quantitative reasoning, statistical analysis, and data visualization skills, with a demonstrated ability to apply them to scientific problems
- Excellent written and verbal communication skills as demonstrated by successful collaborations between wet and dry scientific teams
- Ability to work both independently and collaboratively in a fast-paced, interdisciplinary research team
Preferred Skills and Background: - Experience with CRISPR epigenetic editing systems and experience integrating multi-omic datasets
- Familiarity with protein or RNA structure and engineering approaches
- Experience deploying code in AWS cloud environment (EC2, S3, etc.)
- Experience writing production code in a team setting
Salary will be commensurate with experience. We will provide an intellectually stimulating, collegial and fast-paced environment. If you are ready to engineer the future of therapeutics, then we are excited to hear from you! Visit us at
We are committed to creating a diverse environment and are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, or veteran status.
At the time of posting, the base pay wage range for this role is $120,000- 185,000 per year. The offered pay range will depend on internal equity and the candidate's relevant skills, experience, qualifications, training, and market data. Additional incentives are provided as part of the complete package in addition to comprehensive medical and other benefits.
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