Lead/Staff Bioinformatics Scientist

Natera; San Carlos (CA); Hybrid; USD 120,000 - 180,000; Full time

Job summary

An innovative company is seeking a Lead/Staff Bioinformatics Scientist to drive research in Epigenomics. This role involves developing algorithms and machine learning models to analyze large-scale data for cancer detection. The ideal candidate will collaborate with molecular biologists and clinical scientists, fostering a culture of innovation and scientific excellence. With a strong background in bioinformatics and a passion for advancing disease management through technology, this is an exciting opportunity to make a significant impact in the field. Join a team dedicated to transforming healthcare through cutting-edge research and technology.

Qualifications

• 6-10 years of experience in bioinformatics with a focus on algorithm development.
• Deep understanding of sequencing data and familiarity with public databases.

Responsibilities

• Design and validate algorithms for analyzing cancer detection data.
• Mentor and train other bioinformatics scientists.

Skills

Algorithm Development

Genomics

Data Analysis

Machine Learning

Python

Linux Command-Line

Data Visualization

Education

PhD in Bioinformatics

PhD in Computer Science

PhD in Statistics

Tools

Linux

TCGA

COSMIC

OncoKB

Job description

Join to apply for the Lead/Staff Bioinformatics Scientist role at Natera.

Position is available as a hybrid position in San Carlos, Bay Area, California, or as a remote position within the US.

Natera is seeking a Lead/Staff Bioinformatics Scientist to join our Bioinformatics Research Team focused on Epigenomics in Oncology. Our mission is to change disease management worldwide by using information from a simple blood draw to detect disease early and inform treatment proactively. The ideal candidate should have a strong background in algorithm development, genomics, sequencing data processing, and/or applied machine learning. This individual will serve as a technical lead for various algorithm and machine learning model development projects.

Responsibilities

• Design, implement, and validate innovative algorithms and statistical methods to analyze large-scale data sets related to cancer detection.
• Foster a culture of innovation, collaboration, and scientific excellence.
• Collaborate with molecular biologists and clinical scientists to solve challenging problems.
• Contribute to experimental design and ensure data integrity and quality control.
• Act as a technical lead during various phases of research and product development.
• Mentor and train other bioinformatics scientists.

Qualifications

• PhD in Bioinformatics, Computer Science, Statistics, or a related field with a focus on cancer epi/genomics.
• Minimum of 6-10 years of experience in bioinformatics, including algorithm development, data analysis, and machine learning.
• Deep understanding of sequencing data.
• Familiarity with public databases such as TCGA, COSMIC, or OncoKB.
• Proficiency in Python and experience with Linux command-line tools and shell scripting.
• Ability to visualize findings and communicate results effectively to technical and non-technical audiences.
• High scientific rigor and eagerness to learn about new computational methods and biology.