Scientist II/Sr. Scientist I, Bioinformatics

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 Scientist II / Sr. Scientist I, 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 gathering 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

• PhD with at least 1 year 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 high-throughput biological data 
• Experience developing scalable bioinformatics pipelines
• Proficiency in Python or R, SQL, linux command-line tools
• Experience in workflow management software (e.g. Snakemake, Nextflow)
• Excellent written and verbal communication skills as demonstrated by successful collaborations between wet and dry scientific teams
• Demonstrated quantitative and scientific thinker as evidenced by a strong publication record
• Ability to work both independently and collaboratively in a fast-paced, interdisciplinary research team

• PhD in Computational Biology, Systems Biology, Biostatistics, Computer Science or related field with strong quantitative experience
• Familiarity with CRISPR technologies and therapeutic approaches and related genome editing analysis tools
• Experience working with cloud resources (e.g. AWS)
• Experience working with a digital LIMS system (e.g. Benchling)
• Familiarity with data quality standards for public consortium projects (e.g. ENCODE, 4DN)
• Familiarity with protein or RNA structure and engineering approaches

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 www.scribetx.com.  

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 vary according to level.  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.  

Key Responsibilities:

• The ideal candidate would have experience in building a new team, developing and qualifying, and validating assays for viral vector, lipids, and RNA/oligonucleotide, performing a Design of Experiments (DoE) studies and collaborating with contract testing laboratories for method transfers and material testing
• This position is a combination of office based (20%) and laboratory based (80%), and includes data analysis and experimental design, supporting all drug modalities at Scribe (viral vector and non-vector delivery)
• Establish in-house infrastructure for the analytical chemistry e.g., analytical instrument procurement/qualifications, determination and control of critical reagents etc
• Author and/or review SOPs or work instructions, study design and protocols, technical protocols and reports, method transfer plan and reports
• Support identification of root cause analysis and provide technical advice on viral vector, lipid, and RNA/oligonucleotide related topics
• 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 degree in organic chemistry, analytical chemistry, or other closely related life sciences discipline, with at least 8+  experience  in an academic or industry lab
• In depth understanding and experience with viral vector (lipid and RNA/oligonucleotide areas are a plus) testing and characterization method development is required, and method qualification/ validation experience is desired.
• Familiar with QbD principles and DOE approaches for method development and optimization
• Demonstrated quantitative and scientific thinker as evidenced by a strong publication record.
• Ability to work both independently and collaboratively in a fast-paced, interdisciplinary research team.

Preferred Skills and Background:

• Familiarity with CRISPR technologies and therapeutic approaches
• Familiarity with protein or RNA structure and engineering approaches
• Knowledge of current regulatory requirements in support of cGMP manufacturing operations
• Ability to communicate at all levels and across various functions

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 www.scribetx.com.  

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.