Senior Bioinformatics Data Scientist

Heluna Health•Richmond, CA

1d•$99,924 - $129,348•Onsite

About The Position

The Infectious Disease Laboratory Division (IDLD) is currently seeking a highly motivated Senior Bioinformatics Data Scientist to join the Genomics Center group and serve as a technical lead for bioinformatics data science activities. In this role, you will lead and coordinate the development, implementation, maintenance, and improvement of Next-Generation Sequencing (NGS) computational workflows that support the surveillance, diagnostics, outbreak response, and research efforts of the California Department of Public Health. The position will collaborate with multidisciplinary CDPH teams and other internal and external partners, provide technical direction and review for complex genomic analyses, mentor staff, and support data systems that enable infectious disease research and surveillance. The ideal candidate should have advanced computational experience, a strong understanding of molecular and cellular biology, demonstrated leadership in sequencing workflow development, and expertise with sequencing platforms such as Illumina and Oxford Nanopore. The position is in Richmond, CA.

Requirements

Advanced experience with Next-Generation Sequencing technologies, microbial genomics, and sequence analysis tools used for surveillance and outbreak response.
Demonstrated ability to design, validate, maintain, improve, and document reproducible bioinformatics workflows, databases, and data products.
Advanced ability to code in Python, R, SQL, or similar programming languages with a focus on clarity, security, deployment, scalability, and future maintainability.
Advanced familiarity with shell scripting, command line usage in Linux environments, workflow or pipeline management, and cloud or high-performance computing concepts.
Ability to lead technical projects, coordinate priorities, review analytical methods and results, and provide sound recommendations to supervisors, leadership, and multidisciplinary teams.
Strong knowledge of fundamentals and principles of epidemiology, biostatistics, public health surveillance, infectious disease genomics, and outbreak response.
High-level analytical and problem-solving skills, including the ability to evaluate uncertainty, identify data quality concerns, and guide resolution of complex technical issues.
Demonstrated ability to communicate complex methods, results, limitations, and recommendations orally and in writing to computational audiences, non-computational audiences, leadership, and external partners.
Advanced knowledge and application of security, confidentiality, data governance, and public health information protection requirements.
Ability to mentor staff, build consensus, manage multiple high-priority deliverables, and work independently under general direction.
Demonstrate reliability, integrity, attention to detail, and fluency in spoken and written English.
B.S. or higher degree in Bioinformatics or a related field, such as Data Science, statistics, or computer science; M.S. or Ph.D. preferred.
B.S. or higher degree in Biology/Virology or a related field with significant advanced bioinformatics experience.
Substantial experience in Bioinformatics and Next Generation Sequencing analysis, including production, public health, clinical, academic, or surveillance-oriented workflows.
Demonstrated experience developing, validating, maintaining, and improving genomic analysis pipelines, databases, and data products.
Advanced expertise in a programming language such as R, Python, SQL, or a similar language is required; experience with workflow tools and version control is preferred.
Experience mentoring, training, or leading technical staff and coordinating technical work across multidisciplinary teams.
Excellent written and oral communication skills, including technical reports, stakeholder briefings, and scientific presentations.

Nice To Haves

Experience with cloud computing, high-performance computing, containers, or secure data infrastructure is highly desirable.
Experience with cloud computing, high-performance computing, containers, workflow orchestration, and maintenance of secure infrastructure is preferred.
Advanced knowledge and/or experience in microbiology, virology, molecular biology, or public health genomics is preferred.
Extensive familiarity with public genomic databases and resources (NCBI, GISAID, Ensembl, etc.).
Strong knowledge and understanding of data governance, data quality, access controls, security, and public health data-sharing considerations.
Knowledge of and skilled in the use of Microsoft Office products, data visualization/reporting tools, and project coordination tools.

Responsibilities

Serve as a lead bioinformatics data scientist for the design, implementation, modernization, quality oversight, and maintenance of NGS workflows used for infectious disease research and surveillance.
Lead the development, management, maintenance, and governance of large-scale genomic databases and workflow tracking systems used by the Genomics Center group.
Review, interpret, and troubleshoot complex genomic data analyses that support public health surveillance and infectious disease outbreak investigations, and provide technical recommendations to supervisors and leadership.
Establish and promote standards for reproducible code, workflow validation, version control, documentation, quality assurance, security, deployment, and future maintainability.
Coordinate technical priorities with internal and external collaborators, including local public health laboratories, collaborating sequencing laboratories, CDC, academic partners, and other public health entities.
Lead the development of innovative solutions for interoperability of data systems among federal, state, and local health departments, commercial and governmental laboratories, hospitals and medical providers, academic partners, and other public health entities.
Collaborate with CDPH response teams, surveillance/epidemiology, outbreak investigations, policy makers, information technology, and leadership to define needs, evaluate tools, and implement systems for storing, analyzing, reporting, and sharing related data.
Lead the conceptualization, coordination, production, and review of internal reports and public-facing materials (e.g., tables and visualizations) that describe/interpret epidemiologic analysis and may influence prevention policy.
Mentor and train Bioinformatics Data Scientist I/II staff, support onboarding, review technical work products, and promote consistent team practices.
Represent the program at meetings and scientific conferences, and lead or facilitate conference calls with key stakeholders at CDPH, local health jurisdictions (LHJs), CDC, and academic partners, if applicable.
Perform other duties as directed by CDPH Leadership and maintain flexibility to work onsite as needed to meet IDLD demands and team collaboration requirements.