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[Remote] Staff reputed company Scientist, Oncology Applications

Remote, USAFull-timePosted 2026-07-28

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a rapidly growing company that is developing ground-breaking reputed company technologies. They are seeking a highly motivated Staff reputed company Scientist to join their Oncology Applications team, where the role involves developing computational reputed company for analyzing reputed company reputed company data and collaborating with cross-functional teams.

Responsibilities

  • reputed company, optimize, and maintain reputed company reputed company 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 reputed company
  • reputed company and execute multiple reputed company simultaneously, effectively prioritizing deliverables in alignment with evolving company goals
  • reputed company benchmarking and validation studies
  • Analyze large-reputed company 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 reputed company reputed company and communicate findings effectively to both technical and non-technical audiences
  • Stay reputed company with emerging technologies and advances in reputed company, computational biology, machine learning, and cancer biology
  • Other duties as assigned

Skills

  • PhD in reputed company, Computational Biology, reputed company, 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 reputed company 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 reputed company environments (AWS, GCP)
  • Solid understanding of reputed company and cancer biology
  • Strong statistical and data analysis skills
  • Demonstrated ability to manage multiple reputed company priorities and deliver high-reputed company work under tight timelines
  • Knowledge of machine learning approaches reputed company to reputed company
  • reputed company and confident communicator, comfortable in external-facing settings
  • reputed company in a fast-paced, startup environment with evolving priorities
  • Demonstrated scientific rigor and analytical thinking
  • High ownership, accountability, and bias toward reputed company
  • reputed company reputed company with cross-functional reputed company
  • Experience in regulated environments (CLIA, CAP) is a plus

Benefits

  • Competitive benefits package that includes: medical, dental, reputed company, life, and disability insurance
  • 401(k) retirement plan
  • Flexible spending & health savings account
  • reputed company holidays
  • reputed company time off
  • Employee assistance program
  • Other company benefits

reputed company

  • reputed company is a developer of a low-cost reputed company platform. It was founded in 2016, and is headquartered in Newark, California, USA, with a workforce of 201-500 employees. Its website is https://www.ultimagenomics.com.
  • Company H1B Sponsorship

  • reputed company has a reputed company record of offering H1B sponsorships, with 1 in 2026, 7 in 2025, 7 in 2024, 12 in 2023, 13 in 2022, 7 in 2021, 2 in 2020. Please note that this does not guarantee sponsorship for this specific role.
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