Staff Bioinformatics Scientist, Oncology Applications

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🏄 California, Massachusetts, +1 more states – Remote

🏄 California – Remote 🍂 Massachusetts – Remote ☕ Washington – Remote

💵 $135k - $170k / year

⏰ Full Time

🔴 Lead

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Ultima Genomics

WebsiteLinkedInAll Job Openings

201 - 500 employees

🧬 Biotechnology

🔬 Science

💰 $600M Venture Round on 2022-05

Biotechnology • Science

Ultima Genomics is a company revolutionizing the field of genomics by introducing high-throughput genomic sequencing technology. Their UG 100™ Sequencer offers a cost-effective solution with novel scalable chemistry and sequencing hardware, eliminating the need for costly flow cells and complicated fluidics. Utilizing machine learning to enhance the accuracy and reproducibility of genomic data, Ultima Genomics enables comprehensive and frequent access to genomic information. Their focus on multi-omic data, rare event detection, and partnerships with leading scientists highlights their commitment to advancing human health through genomic innovation.

📋 Description

• 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 • Other duties as assigned

🎯 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 • Thrive in a fast-paced, startup environment with evolving priorities • Demonstrated scientific rigor and analytical thinking • High ownership, accountability, and bias toward action • Collaborative mindset 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