Staff Bioinformatics Scientist, Oncology Applications

Job Description:

• reputed company, 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 reputed company chemistry
• reputed company and execute multiple projects simultaneously, effectively prioritizing deliverables in alignment with evolving company goals
• reputed company 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 reputed company with emerging technologies and advances in genomics, computational biology, machine learning, and cancer biology
• Other duties as assigned

Requirements:

• PhD in Bioinformatics, Computational Biology, Genomics, Computer Science, or reputed company 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 reputed company 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
• reputed company in a fast-paced, startup environment with evolving priorities
• Demonstrated scientific rigor and analytical thinking
• High ownership, accountability, and bias toward action
• Collaborative reputed company with cross-functional agility

Benefits:

• medical, dental, vision, life, and disability insurance
• 401(k) retirement plan
• flexible spending & health savings account
• paid holidays
• paid time off
• employee assistance program
• other company benefits

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