Senior Manager, Software Development Engineering

Job Responsibilities

• Lead, mentor, and grow a team of software engineers across multiple levels (staff, senior, mid-level, and junior), fostering a culture of technical excellence, collaboration, and continuous improvement
• Own the technical roadmap for variant classification systems, aligning engineering priorities with business objectives and scientific needs
• Partner with product management, data science, variant science, and bioinformatics stakeholders to define requirements, set priorities, and deliver impactful solutions
• Drive the design and delivery of tools that define, store, and provide meaningful variant, sample, and test-level information to support accurate variant interpretation and report generation
• Oversee development and maintenance of systems that translate raw bioinformatic data into variant and sample-level information, including registration, normalization, observation groups, and quality metrics
• Establish and maintain engineering standards, processes, and best practices across the team, including code review, testing, CI/CD, and incident response
• Manage team capacity, hiring, performance reviews, career development, and succession planning
• Drive architectural decisions that scale storage and processing of sample-level information to support growing data needs
• Champion automation of evidence placement and classification for variant interpretation
• Support test content and assay development initiatives through effective resource allocation and technical guidance
• Communicate technical strategy, progress, and risks to senior leadership and cross-functional partners
• Define and evolve the team's processes and governance for applying AI and LLM tools to variant classification workflows, ensuring responsible use aligned with scientific rigor and regulatory requirements
• Remove blockers, manage dependencies across teams, and ensure timely delivery of commitments

Requirements

• Bachelor's degree
• 6 or more years of related professional software engineering experience
• 3 or more years in IT leadership roles
• 3 or more years' experience managing software engineering teams, including hiring, performance management, and career development
• 6 or more years' experience and technical foundation in Python, relational databases, cloud platforms (AWS, Azure, or GCP), and modern web development frameworks
• 6 or more years' experience and proven ability to deliver complex software systems using RESTful APIs, microservices architecture, and CI/CD pipelines
• 6 or more years' experience and technical foundation in front-end technologies (e.g., React, Angular, Vue.js, JavaScript/TypeScript)
• 3 or more years' experience managing teams working with front-end technologies (e.g., React, Angular, Vue.js, JavaScript/TypeScript)
• 6 or more years' experience and proven ability to define technical vision, set priorities, and drive execution across multiple concurrent workstreams
• 3 or more years' experience and track record of building and developing high-performing engineering teams across multiple experience levels
• Master's Degree or Ph.D. in Bioinformatics/Computational Biology, Computer Science, or life sciences with 4 or more years' related professional software engineering experience
• 5 or more years of engineering management experience, including managing senior and staff-level engineers
• 5 or more years' experience with bioinformatic tools, annotation pipelines, and genomic data resources (e.g., ClinVar, gnomAD, HGMD)
• 5 or more years' experience with Spark, text mining, natural language processing, semantic enrichment, ontologies, data mining, or machine learning/AI
• 5 or more years' experience with public-domain biomedical terminologies (e.g., MeSH, NCIt, HGNC)

Qualifications

• Bachelor's degree
• 6 or more years of related professional software engineering experience
• 3 or more years in IT leadership roles
• 3 or more years' experience managing software engineering teams, including hiring, performance management, and career development
• 6 or more years' experience and technical foundation in Python, relational databases, cloud platforms (AWS, Azure, or GCP), and modern web development frameworks
• 6 or more years' experience and proven ability to deliver complex software systems using RESTful APIs, microservices architecture, and CI/CD pipelines
• 6 or more years' experience and technical foundation in front-end technologies (e.g., React, Angular, Vue.js, JavaScript/TypeScript)
• 3 or more years' experience managing teams working with front-end technologies (e.g., React, Angular, Vue.js, JavaScript/TypeScript)
• 6 or more years' experience and proven ability to define technical vision, set priorities, and drive execution across multiple concurrent workstreams
• 3 or more years' experience and track record of building and developing high-performing engineering teams across multiple experience levels
• Master's Degree or Ph.D. in Bioinformatics/Computational Biology, Computer Science, or life sciences with 4 or more years' related professional software engineering experience
• 5 or more years of engineering management experience, including managing senior and staff-level engineers
• 5 or more years' experience with bioinformatic tools, annotation pipelines, and genomic data resources (e.g., ClinVar, gnomAD, HGMD)
• 5 or more years' experience with Spark, text mining, natural language processing, semantic enrichment, ontologies, data mining, or machine learning/AI
• 5 or more years' experience with public-domain biomedical terminologies (e.g., MeSH, NCIt, HGNC)

Preferred Qualifications

• Master's Degree or Ph.D. in Bioinformatics/Computational Biology, Computer Science, or life sciences with 4 or more years' related professional software engineering experience
• 5 or more years of engineering management experience, including managing senior and staff-level engineers
• 5 or more years' experience with bioinformatic tools, annotation pipelines, and genomic data resources (e.g., ClinVar, gnomAD, HGMD)
• 5 or more years' experience with Spark, text mining, natural language processing, semantic enrichment, ontologies, data mining, or machine learning/AI
• 5 or more years' experience with public-domain biomedical terminologies (e.g., MeSH, NCIt, HGNC)

Additional Job Standards

• Proven ability to define technical vision, set priorities, and drive execution across multiple concurrent workstreams
• Track record of building and developing high-performing engineering teams across multiple experience levels
• Familiarity with variant databases and the clinical variant interpretation landscape
• Experience translating complex scientific questions into information solutions and engineering roadmaps
• Experience managing teams in regulated or clinical environments
• Owns and delivers product or platform goals across multiple years and teams, setting a high standard for technical outcomes, team health, and delivery
• Defines the vision, scope, and technical approach for large, business-impacting projects with organization-wide implications
• Identifies, prioritizes, and drives solutions to ambiguous, open-ended problems, empowering the team to deliver with autonomy
• Influences the roadmaps of partner teams to align with and achieve broader business goals
• Serves as a role model for engineering leadership, balancing technical depth with people management
• Effective verbal and written communicator with both scientific and non-scientific audiences, including senior leadership
• Cultivates a team culture that leverages modern tools such as GitHub Copilot, Claude Code, or similar LLM tools to accelerate development, testing, and documentation
• Builds an inclusive, psychologically safe team environment that attracts and retains top engineering talent

Pay Range

$140K - 198K annual salary

Benefits

• Medical
• Dental
• Vision
• Life
• STD/LTD
• 401(k)
• Paid Time Off (PTO) or Flexible Time Off (FTO)
• Tuition Reimbursement
• Employee Stock Purchase Plan