Staff Bioinformatics Scientist, Oncology Applications
This is a full time remote position with preferred locations in San Francisco, Boston, and Washington D.C.Full-TimeStaff
Salary135,000 - 170,000 USD per year
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Job Details
- Experience
- PhD with 5+ years or MS with 8+ years of hands-on experience analyzing NGS data
- Required Skills
- AWSPythonGCPMachine LearningC++Linux
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
- 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
- Knowledge of machine learning approaches applied to genomics
- Demonstrated ability to manage multiple concurrent priorities
- Clear and confident communicator
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
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