About the Role:

Stylus Medicine is seeking an intellectually curious and creative Director, who will serve as a key scientific leader on our Platform team, owning the computational strategy that drives large serine recombinase (LSR) engineering and clinical translation. This role sits at the intersection of protein engineering, multi-omics analysis, and AI/ML-driven design and will lead a high-impact team spanning NGS and computational biology while driving the analytical infrastructure and predictive capabilities needed to advance our proprietary LSR platform from discovery through translation.

Key Responsibilities & Accountabilities:

• 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
• Lead analysis of NGS data from LSR experiments — including amplicon sequencing, WGS, hybrid capture, and long-read sequencing — to quantify on-target efficiency and genome-wide specificity
• 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
• Integrate proprietary screening data with public evolutionary and structural datasets to prioritize variants and identify engineering levers for activity, specificity, and developability
• Oversee the design, implementation, and deployment of robust, scalable computational pipelines for multi-omics data analysis, ensuring accuracy, reproducibility, and maintainability
• Provide scientific input into platform strategy, translating computational insights into actionable directions for the broader team
• Partner closely with the Screening, Genome Engineering, and NGS teams to design experiments, interpret complex datasets, and refine engineering hypotheses
• Contribute to patent filings, regulatory submissions, and publications

Qualifications & Skills:

• 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)
• Expert-level proficiency in Python and/or R, with deep familiarity with data science libraries (e.g., Pandas, NumPy, Bioconductor, SciPy, PyTorch, or JAX)
• Experience with cloud computing platforms and workflow management systems
• Excellent communication and documentation skills, with a track record of effective collaboration in fast-paced, interdisciplinary environments

Pay Range; $245,000 - $265,000

About the Role:

Stylus Medicine is seeking a highly motivated and collaborative Senior Scientist to join our in vivo Pharmacology team. This role will be responsible for leading NHP studies, including working closely with CROs to manage studies, contribute to protocol writing and design, obtain, quality control, analyze and interpret data, lead investigative technical troubleshooting, ensure consistency in execution across studies, and create detailed and thorough study summaries. Reporting to the Director of in vivo Pharmacology and working closely with cross-functional teams, this is a unique opportunity to contribute to foundational development in a fast-paced, cutting-edge biotech environment and advance the development of transformative in vivo genetic medicines.

Key Responsibilities & Accountabilities: 

• Design NHP study protocols and lead CRO communication
• Analyze, interpret, and communicate NHP study data, including flow cytometry analysis, cytokine analysis and other ex vivo readouts, to inform project direction and decision-making
• Evaluate data for consistency and follow-up as needed, working closely with CROs to optimize study protocols
• Investigate and interpret biological findings from NHP studies
• Manage NHP study test article generation and transfer in collaboration with internal cross-functional teams
• Conduct experiments to optimize protocols for CRO transfer or investigate biological findings
• Generate and manage study documentation, including protocols and study reports
• Effectively communicate findings to internal teams.
• Maintain detailed and accurate laboratory records in compliance with data integrity and documentation standards
• Limited travel may be required

 Qualifications & Skills:

• PhD in Pharmacology, Immunology, Immuno-oncology, or a related field with 4-6 years of relevant industry or academic experience, or a Master's degree with 8+ years of experience
• Demonstrated experience with ex vivo analytical techniques, such as flow cytometry, cytokine analysis, and ddPCR
• Demonstrated ability to design, execute, interpret, and troubleshoot immunology-related in vivo studies and to coordinate the activities of multiple study contributors
• Experience coordinating with animal vendors, CROs or external collaborators
• Prior experience with NHP studies is preferred
• Experience in designing experiments to address PK/PD/biodistribution/tox relationships is a plus
• Experience with LNP or CART delivery technologies and genetic medicine platforms is a plus
• Experience with T cell or PBMC isolation and handling from peripheral blood, engineering, and downstream immunological or molecular assays
• Demonstrated ability to work independently in a laboratory setting, learn new techniques, multitask effectively, and maintain meticulous records
• Demonstrated proficiency in documenting and maintaining an organized lab notebook, lab inventory, and experimental results
• Excellent organizational and communication skills, with a team-first mindset and the ability to convey technical information
• Analytical thinker with the ability to distill complex data into clear, actionable insights

Pay Range: $160,000 - $175,000

About the Role:

Stylus Medicine is seeking an intellectually curious and collaborative Senior Scientist, who will lead the development of upstream microbial fermentation processes as part of our CMC Tech Ops team. This role will be responsible for process definition, development, characterization, scale-up and tech transfer from bench scale to pilot. Working closely with the Research, Preclinical, and Formulation teams, this is a special opportunity to advance the development of transformative in vivo genetic medicines.

Key Responsibilities & Accountabilities:

• Develop scalable production processes for nucleic acids and recombinant proteins
• Leverage expertise in fermentation and mammalian cell culture to design, optimize, scale-up and characterize production processes
• Independently utilize multivariate design of experiment (DoE) approaches to improve productivity and optimize parameters for product quality
• Drive fermentation platform development and new technology implementation to improve process performance, generation of predictive process models, and enhance process control and robustness
• Design and implement in-process analytics to improve productivity while reducing process and product derived impurities
• Maintain and troubleshoot equipment to ensure consistency and continuity of operations
• Document, analyze and present experimental results internally and externally
• Partner with CDMOs and provide technology transfer support to facilitate scale up
• Interface with cross-functional teams to ensure programs are on track and stakeholders’ needs are met
• Maintain accurate and reliable record keeping including database management, batch records, notebooks, and all other pertinent documentation

Qualifications & Skills:

• PhD in Chemical/Biomedical Engineering, Biochemistry, Pharmaceutical Sciences, or related discipline with >4 years of experience, or BS/MS with >8 years of experience in biopharmaceutical or biotechnology development, including experience in developing scalable fermentation processes for producing plasmid DNA and/or recombinant products
• In-depth experience and knowledge in fermentation process development, optimization, and process scale-up / scale-down model development
• Familiarity with strain engineering and biocatalysis
• Familiarity with performing operations in a cleanroom environment, applying controls to ensure aseptic processing
• Demonstrated ability to coach and mentor junior researchers
• Independently motivated and good problem-solving ability
• Attention to detail and accuracy in developing, reviewing, and following protocols, SOPs, batch records and technology transfer documents is a must
• Demonstrated ability to work collaboratively across teams to meet project deliverables and timelines
• Strong communication, decision-making and organizational skills
• Proficiency with statistical analysis software (e.g., JMP) is highly desired
• Prior experience partnering with external CDMOs and conducting tech transfers preferred

Pay Range: $155,000 - $170,000

About the Role:

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.

Key Responsibilities & Accountabilities:

• 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

Qualifications & Skills:

• 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