Staff Bioinformatics Scientist, Oncology Applications

Responsibilities

• Develop, optimize, and maintain scalable bioinformatics pipelines for NGS data analysis such as WGS, WES, RNA-seq, and single-cell
• Design and implement novel algorithms for secondary and tertiary NGS analysis tailored to Ultima’s sequencing chemistry
• Lead and execute multiple projects simultaneously, effectively prioritizing deliverables in alignment with evolving company goals
• Perform benchmarking and validation studies
• Analyze large-scale genomic datasets and generate actionable insights for internal R&D, product development, and external collaborators
• Collaborate closely with wet-lab scientists, software engineers, and product teams to translate experimental results into improved workflows and tools
• Support external collaborations by preparing technical analyses, reports, presentations, and data summaries for customers, partners, and conferences
• Contribute to scientific publications, application notes, white papers, and other external communication materials as needed
• Participate in customer-facing discussions to explain data analysis approaches, performance metrics, and platform capabilities
• Document methods clearly and communicate findings effectively to both technical and non-technical audiences
• Stay current with emerging technologies and advances in genomics, computational biology, machine learning, and cancer biology

Requirements

• PhD in Bioinformatics, Computational Biology, Genomics, Computer Science, or related field; or MS with significant industry experience
• PhD with 5+ years or MS with 8+ years of hands-on experience analyzing NGS data required
• Strong programming skills in Python and/or C++
• Experience with common bioinformatics and somatic variant calling tools such as BWA, minimap2, GATK, samtools
• Proficiency in Linux/Unix environments and workflow management systems (Nextflow, Snakemake, WDL)
• Experience working with large datasets in cloud environments (AWS, GCP)
• Solid understanding of genomics and cancer biology
• Strong statistical and data analysis skills
• Demonstrated ability to manage multiple concurrent priorities and deliver high-quality work under tight timelines
• Knowledge of machine learning approaches applied to genomics
• Clear and confident communicator, comfortable in external-facing settings
• Experience in regulated environments (CLIA, CAP) is a plus

Qualifications, Skills, Knowledge & Abilities

• PhD in Bioinformatics, Computational Biology, Genomics, Computer Science, or related field; or MS with significant industry experience
• PhD with 5+ years or MS with 8+ years of hands-on experience analyzing NGS data required
• Strong programming skills in Python and/or C++
• Experience with common bioinformatics and somatic variant calling tools such as BWA, minimap2, GATK, samtools
• Proficiency in Linux/Unix environments and workflow management systems (Nextflow, Snakemake, WDL)
• Experience working with large datasets in cloud environments (AWS, GCP)
• Solid understanding of genomics and cancer biology
• Strong statistical and data analysis skills
• Demonstrated ability to manage multiple concurrent priorities and deliver high-quality work under tight timelines
• Knowledge of machine learning approaches applied to genomics
• Clear and confident communicator, comfortable in external-facing settings
• Experience in regulated environments (CLIA, CAP) is a plus