Stylus Medicine
Director, Computational & Protein Sciences
Cambridge, Massachusetts, United States · Director
Sponsorship not specified$245k-$265kDetected 79 days ago
PythonMachine LearningPyTorchPandasNumPyData AnalysisData ScienceIntellectual PropertyBioinformaticsNGSResearchAnimal StudiesCommunicationCollaborationMentoring
About the role
- Integrate proprietary screening data with public evolutionary and structural datasets to prioritize variants and identify engineering levers for activity, specificity, and developability
- Provide scientific input into platform strategy, translating computational insights into actionable directions for the broader team
- Contribute to patent filings, regulatory submissions, and publications
Responsibilities
- Lead and develop a team of NGS and computational biology scientists, setting technical direction, mentoring team members, and fostering a collaborative, high-performance culture
- Lead computational efforts to design and optimize LSRs and related genome engineering proteins for genetic medicine applications, integrating sequence-function, structure-function, and protein-DNA interaction datasets to guide engineering campaigns
- Build, apply, and critically evaluate predictive and generative models for protein variant and library design - including rigorous benchmarking of AI/ML approaches such as protein language models, structure prediction tools, and generative design frameworks
- Oversee the design, implementation, and deployment of robust, scalable computational pipelines for multi-omics data analysis, ensuring accuracy, reproducibility, and maintainability
- Partner closely with the Screening, Genome Engineering, and NGS teams to design experiments, interpret complex datasets, and refine engineering hypotheses
Requirements
- Expert-level proficiency in Python and/or R, with deep familiarity with data science libraries (e.g., Pandas, NumPy, Bioconductor, SciPy, PyTorch, or JAX)
- Excellent communication and documentation skills, with a track record of effective collaboration in fast-paced, interdisciplinary environments
- PhD in Computational Biology, Bioinformatics, Protein Engineering, Machine Learning or a related quantitative discipline, with 10+ years or Master's with 14+ years of industry experience
- Demonstrated research in protein modeling, protein design, or computational biology through publications, preprints, or equivalent industry contributions
- Hands-on experience applying AI/ML methods to protein variant and library design, including protein language models, structure prediction, and generative design approaches (e.g., AlphaFold2/3, RFdiffusion, ProteinMPNN, ESM)
Skills
- Experience with cloud computing platforms and workflow management systems
- Pay Range; $245,000 - $265,000
- Qualifications & Skills:
Compensation
- Pay Range; $245,000 - $265,000
Company info
- 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.
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This listing is sourced directly from Stylus Medicine's careers page and normalized into a canonical job model.