Vice President Bioinformatics and Software Engineering

Overview

The Vice President Bioinformatics and Software Engineering will provide strategic and technical leadership for computational biology, software development, and data infrastructure in support of whole genome sequencing (WGS), multi-omics analysis, and clinical diagnostics. This executive role requires deep expertise in de novo algorithm development, data modeling, and scalable bioinformatics methods for genomic discovery and precision medicine. The successful candidate will lead a multidisciplinary team of bioinformaticians and engineers, advancing both production-ready clinical pipelines and cutting-edge computational research to enable next- diagnostics.

Responsibilities

Develop and execute the strategic roadmap for bioinformatics and software engineering, with emphasis on de novo method development and novel algorithm design.

Lead the design, validation, and deployment of NGS pipelines for WGS, RNA-seq, and multi-omics applications, ensuring compliance with CLIA, CAP, and FDA standards.

Drive innovation in data modeling, statistical methods, and computational frameworks to address large-scale genomic and structural variation analysis.

Oversee end-to-end software engineering efforts including cloud infrastructure, APIs, automation tools, and scalable production systems.

Establish and enforce engineering best practices in version control, testing, reproducibility, and audit-ready documentation.

Recruit, mentor, and manage a high-performing team spanning bioinformatics, machine learning, software engineering, and data science.

Collaborate with R&D, Clinical, Regulatory, and Product teams to integrate novel computational methods into diagnostic product development.

Shape the data strategy to support AI / ML applications, real-world evidence , and advanced data integration across omics modalities.

Ensure compliance with data security, privacy, and regulatory frameworks across all systems and workflows.

Foster partnerships with academic, industry, and open-source communities to accelerate innovation in bioinformatics methods and software solutions.

Qualifications

PhD or MS in Bioinformatics, Computational Biology, Computer Science, or a related discipline.

At least 10 years of experience in bioinformatics and software engineering, with proven expertise in algorithm development for NGS and large-scale genomics.

Demonstrated success in developing de novo methods for genome assembly, structural variant detection, or advanced computational modeling.

Strong track record building cloud-based platforms and production-grade pipelines for regulated diagnostics.

Leadership experience managing cross-functional teams across bioinformatics, engineering, and clinical domains.

Deep understanding of regulatory compliance frameworks including CLIA, CAP, and FDA submissions.

Hands-on expertise with cloud infrastructure, distributed computing, and data-intensive systems, preferably AWS.

Exceptional communication skills, with the ability to influence technical, scientific, and executive stakeholders.

Desired Qualifications

Experience with multi-omics integration, statistical modeling, and advanced algorithmic methods in computational biology.

Background in genome assembly, haplotype phasing, structural variant calling, or other de novo discovery pipelines.

Familiarity with LIMS, clinical reporting systems, and laboratory automation workflows.

Experience leading FDA submissions and developing QMS-aligned software systems for diagnostics.

Knowledge of AI / ML applications in bioinformatics, including predictive modeling and real-world data analysis.

Proven ability to translate computational innovations into clinically validated products.

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