Note: The job is a remote job and is open to candidates in USA. Ultima Genomics is a rapidly growing company that is developing ground-breaking genomics technologies. They are seeking a highly motivated Staff Bioinformatics Scientist to develop and apply computational methods for analyzing next-generation sequencing data, focusing on Oncology Applications and collaborating across multiple teams.
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
- Other duties as assigned
Skills
- 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
- 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
- Experience in regulated environments (CLIA, CAP) is a plus
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
Company Overview
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