# Senior Bioinformatics Scientist

**Company**: Ultima Genomics
**Location**: Remote US
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Salary**: $115,000 - $145,000
**Category**: IT
**Industry**: Healthcare

**Apply**: https://job-boards.greenhouse.io/ultimagenomics/jobs/5980737004?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_9d261ff6-5ec

## Description

Ultima Genomics is seeking a highly motivated Senior Bioinformatics Scientist to join its Oncology Applications team.

As a Senior Bioinformatics Scientist, you will develop and apply computational methods for analyzing next-generation sequencing (NGS) data generated on Ultima's platform. This role involves building robust pipelines, developing novel algorithms, collaborating cross-functionally with molecular biology, software engineering, and product teams, and driving insights from complex genomic datasets, with a focus on growing Oncology Applications.

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

Qualifications:

- PhD in Bioinformatics, Computational Biology, Genomics, Computer Science, or related field; or MS with significant industry experience

- PhD with 2+ years or MS with 5+ 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

- 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

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

## Skills

### Required
- Python
- C++
- Bioinformatics
- Genomics
- Computational Biology
- Machine Learning
- Cancer Biology
- Statistical Analysis
- Data Analysis
- Linux/Unix
- Workflow Management

### Nice to have
- Experience in regulated environments (CLIA, CAP)
- Knowledge of machine learning approaches applied to genomics

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/ultimagenomics/jobs/5980737004?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)