Remote · North America
Bioinformatics Scientist
- Who can apply
- United States
- Pay (USD)
- $101,800 – $127,300 a year
- Posted
- How to apply
- On Natera’s own site
- At Natera
- 17 live remote roles
About the role
Natera is seeking a Bioinformatics Scientist to join our Bioinformatics Research & Development team with a focus on cancer recurrence monitoring. Natera’s mission is to change the management of disease worldwide with a focus on reproductive health, cancer, and organ transplantation.
The ideal candidate should have experience in sequencing data analysis, genomics, and/or algorithm development. This individual will analyze large and complex high-throughput cancer genomics datasets. They will also assist in developing novel computational methods, and integrating frameworks developed by our R&D team.
PRIMARY RESPONSIBILITIES:
- Analyze high-throughput DNA sequencing datasets utilizing understanding of cancer biology and genomics. Help implement and validate novel algorithms and statistical methods.
- Collaborate with molecular biologists and other bioinformatics scientists to answer biological questions
- Contribute to experimental design and quality control
- Help develop tools and end-to-end bioinformatics pipelines
QUALIFICATIONS:
- Bachelor's degree in bioinformatics, computational biology, computer science, engineering, molecular biology, or a related field; Master's degree preferred
- Minimum of 2 years of hands-on experience doing high-throughput genomic sequencing analysis
KNOWLEDGE, SKILLS, AND ABILITIES:
- Experience doing NGS data analysis (e.g. mapping, variant calling, etc.)
- Strong programming skills in a scientific programming language, Python strongly preferred
- Knowledge of genomics, with a preference for familiarity with cancer biology
- Familiarity with public databases such as TCGA, COSMIC, or OncoKB
- Experience with Linux command-line tools and shell scripting
- Ability to conduct hypothesis-driven research, visualize data, and effectively communicate results
- Ability to collaborate effectively, self-motivated, and detail-oriented
PREFERRED SKILLS:
- Background in ML and statistics
- Experience with WGS
Skills
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