Stylus Medicine is developing transformative in vivo genetic medicines to unlock cures. Stylus combines engineered recombinases with non-viral delivery to specifically encode therapeutics. The company’s approach is versatile and modular, with potential therapeutic application across oncology, autoimmune, genetic diseases, and beyond.
Stylus Medicine is seeking an innovative, intellectually curious and team-oriented Principal Scientist to support our large serine recombinase (LSR) engineering platform. This individual will provide high-resolution efficacy and specificity analysis to advance our pipeline as well as support onboarding of new preclinical assays for regulatory submissions, ensure accuracy of our analysis pipelines and translate our wet lab experiments into computational insights that will enable engineering of our next generation LSRs.
Lead the analysis of NGS data from LSR experiments (like amplicon, hybrid capture, and long-read sequencing) to quantify target efficiency and specificity
Build integrated workflows to annotate and characterize target sites by synthesizing proprietary datasets with large-scale public genomic databases
Design, implement, and scale robust computational pipelines for multi-omics analysis
Collaborate closely with the Screening, Genome Engineering, and Protein Engineering teams to design experiments and interpret results
Develop and maintain internal databases and infrastructure to ensure experimental results are accessible, reproducible, and actionable
Contribute to patent filings, regulatory submissions, and scientific publications
PhD with 5+ years or Master’s with 10+ years (or Bachelor’s with 12+ years) of industry experience in Computational Biology, Bioinformatics, or a related quantitative discipline.
Strong expertise in experimental design, data processing, statistical analysis, and NGS data analysis
Expert-level proficiency in Python and/or R, with extensive experience using data science libraries (e.g., Pandas, NumPy, Bioconductor)
Experience with cloud computing platforms for large-scale data processing and with workflow management systems
Excellent organizational, communication, and documentation skills, with demonstrated ability to work effectively in collaborative, interdisciplinary environments
Strong scientific critical thinking skills, including the ability to evaluate approaches, synthesize complex data, and provide actionable recommendations
Proven track record of working successfully across cross-functional teams with proactive communication and timely delivery
Pay Range: $180,000 - $195,000
Originally posted by Stylus Medicine. View original posting
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