Remote Cancer Genomics Bioinformatics Scientist (NGS/ML)

Natera; United States; Remote; USD 102,000 - 127,000; Full time

Benefits offered by this job

Medical, dental, vision plans

Fertility care benefits

401k benefits

Leave policies and referral program

Job summary

Natera is seeking a Bioinformatics Scientist to join the Bioinformatics Research & Development team with a focus on cancer recurrence monitoring. The role involves analyzing large sequencing datasets and developing novel computational methods to advance the company’s understanding of cancer biology.

You will collaborate with molecular biologists and other bioinformatics scientists to answer biological questions, contribute to experimental design, and help build end-to-end bioinformatics

Qualifications

• Experience with high-throughput genomic sequencing analysis.
• Strong programming skills in Python or similar languages.
• Knowledge of cancer biology and genomics.
• Familiarity with public cancer genomics databases.

Responsibilities

• Analyze high-throughput DNA sequencing datasets and validate novel algorithms.
• Collaborate with molecular biologists and bioinformatics scientists to answer biological questions.
• Contribute to experimental design and quality control.
• Help develop tools and end-to-end bioinformatics pipelines.

Skills

NGS data analysis

Python

Genomics

Cancer biology

Linux

Shell scripting

Data visualization

Communication

Collaboration

Education

Bachelor's degree

Master's degree preferred

Tools

TCGA

COSMIC

OncoKB

Linux

Job description

Natera is seeking a Bioinformatics Scientist to join the Bioinformatics Research & Development team with a focus on cancer recurrence monitoring. The role involves analyzing large sequencing datasets and developing novel computational methods to advance the company’s understanding of cancer biology.

You will collaborate with molecular biologists and other bioinformatics scientists to answer biological questions, contribute to experimental design, and help build end-to-end bioinformatics