Director, Data Science

Required:

• MS or PhD in a quantitative field (Computer Science, Electrical Engineering, Computational Biology, Bioinformatics, Statistics, or related)

• 10+ years of post-academic experience in the omics space (genomics, proteomics, or related fields). - 4+ years of experience managing technical teams (data scientists, ML engineers, or bioinformaticians), including hiring responsibility. - Ability and willingness to operate as a player-coach: setting strategy while remaining hands-on with data, code, and models. - Exceptional ability to identify, hire, and develop talent while establishing and enforcing standards of excellence in data science

• Capacity to develop both individual contributors and future managers within the team. - Deep expertise in one of the following:

• Primary sequencing data analysis

• Machine learning applied to biological data

• Pipeline infrastructure and bioinformatics tooling

• Solid understanding of signal processing, classification, and machine learning techniques (transformers, CNNs, RNNs) and comfort applying them to sequencing or time-series data

• Practical familiarity with AWS, Nextflow, and modern bioinformatics tooling. - Demonstrated ability to work at the bench-to-computation interface in collaborative research environments

• Ability to present complex technical results to non-technical stakeholders and to translate biological questions into computational approaches. Nice to have:

• Direct experience with sequencing data, basecalling, read-level QC or nanopore signal-level analysis (strongly preferred). - Experience building data infrastructure and analytics platforms in early-stage biotech. We’re looking for a teammate that:

• Navigates complex team dynamics, partnerships, and challenges with creativity and logic. - Operates with adaptability, urgency, and flexibility in evolving environments, thriving in ambiguity. - Drives work forward without needing to be asked, taking responsibility for outcomes rather than tasks. - Treats obstacles as problems to be creatively solved, not reasons something can’t be done. - Applies sound judgment to the best available information, testing, learning, and iterating. - Shares early and directly when assumptions change, results are unclear, or timelines are at risk. What you can expect from this role

Work environment:

• Collaborative culture where your ideas and expertise are valued
• Direct impact on product development and company direction

Professional growth:

• Build Glyphic's first dedicated data science management function, defining team structure, standards, and culture. - Help define the technical standards and best practices for omics data analysis while mentoring the next generation of data scientists who will adopt and advance these approaches. - Work with proprietary, information-rich data at scale that few organizations possess—the opportunity to develop novel approaches and methodologies that set benchmarks for the field. Compensation

Estimated Base Salary: $215,000 - $257,000/year

This is the pay range for this position that we reasonably expect to pay. Individual compensation is based on various factors including, experience, education, skillset, and geographic location. This range is for the SF Bay Area, California location and may be adjusted to the labor market in other geographic areas. We are open to considering compensation above this range for candidates whose background and expertise exceed our expectations for the role. Individuals seeking employment at Glyphic Biotechnologies are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation.