[Remote] Staff Bioinformatics Scientist, Oncology Applications

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 genomics technologies. They are seeking a highly motivated Staff Bioinformatics Scientist to reputed company and apply computational methods for analyzing reputed company reputed company data, focusing on Oncology Applications and collaborating across multiple teams.

Responsibilities

• 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 reputed company 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

Skills

• 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 reputed company 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
• 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
• Experience in regulated environments (CLIA, CAP) is a plus

Benefits

• Medical, dental, reputed company, 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

Company H1B Sponsorship