Senior - Bioinformatician and Head of Clinical Genomics Informatics - Center for Translational Science

Responsibilities

• Lead and oversee all clinical genomics informatics activities, serving as the institutional subject-matter expert for genomic data analysis, interpretation, and reporting.
• Define the strategic roadmap for clinical genomics informatics platforms, pipelines, and analytical capabilities.
• Establish standards, best practices, and governance for genomic data quality, reproducibility, validation, and lifecycle management.
• Partner with clinical, translational, IT, and compliance stakeholders to align informatics solutions with organizational and regulatory expectations.
• Perform complex analyses across genomics, transcriptomics, proteomics, and related biomedical domains, translating high-dimensional data into actionable biological and clinical insights.
• Ensure analytical rigor, documentation, and reproducibility in accordance with best practices and applicable regulatory frameworks.
• Architect, develop, and maintain scalable, production-grade bioinformatics workflows using modern workflow management systems and high-performance or cloud-based computing environments.
• Integrate heterogeneous data sources, including sequencing data, clinical and experimental metadata, and external biomedical databases.
• Oversee the development of user-facing tools, dashboards, visualizations, and reports to support scientific and clinical decision-making.
• Design and develop modular, reusable, and well-documented software components using industry-standard programming languages and development practices.
• Transition successful analytical prototypes into validated, maintainable, and production-ready solutions.
• Champion software engineering best practices, including version control, testing, validation, documentation, and code review across the informatics function.
• Evaluate, adapt, and develop computational algorithms and statistical models tailored to complex biomedical and clinical genomics data.
• Stay current with emerging bioinformatics methodologies and guide adoption based on scientific merit and operational feasibility.
• Benchmark tools and methods to ensure robustness, scalability, and scientific validity.
• Serve as a senior bioinformatics partner to principal investigators, researchers, and collaborators across multiple projects.
• Communicate complex analytical concepts and results clearly to both technical and non-technical audiences.
• Contribute to manuscripts, grant applications, research proposals, and internal scientific reviews.
• Present findings at internal meetings, external conferences, and scientific forums.
• Mentor junior bioinformaticians, analysts, and trainees, providing technical guidance and career development support.
• Help define and maintain reusable resources, shared infrastructure, and best practices for the bioinformatics function.
• Manage multiple concurrent projects, balancing scientific priorities, timelines, and stakeholder expectations.
• Collaborate with IT and infrastructure teams to align computational strategies with organizational goals.

Qualifications

• PhD in Bioinformatics, Computational Biology, Computer Science, Bioengineering, or a related quantitative discipline - Required
• 10+ years of experience in an academic, biotech, pharmaceutical, or applied biomedical research environment.
• Extensive hands-on experience analyzing biomedical data such as sequencing, gene expression, genotyping, proteomics, or related modalities.
• Strong proficiency in multiple programming languages (e.g., Python, R, Perl, C/C++, Java) and scientific computing environments.
• Demonstrated experience with Linux/UNIX/macOS environments, command-line tools, shell scripting, and high-performance or cloud-based computing.
• Solid grounding in statistics, scientific computing, and data visualization.
• Proven application of software engineering best practices, including version control, testing, documentation, and reproducibility.
• Excellent Written And Verbal Communication Skills.
• Demonstrated ability to work independently, lead technical efforts, and collaborate across multidisciplinary teams.
• Prior experience mentoring or leading junior scientific staff.
• Experience leading or owning clinical or translational genomics informatics programs.
• Familiarity with regulated research environments, workflow orchestration, containerization, and cloud platforms (Preferred).
• Track record of scientific publications, tool development, or widely adopted analytical resources (Preferred).