Close Menu

SENIOR DATA SCIENTIST/MACHINE LEARNING ENGINEER

Organization
Phase Genomics
Job Location
1617 8th Ave North
Seattle, WA 98109
United States
Benefits

 

Job Description

Phase Genomics is seeking smart, driven, creative data scientists and machine learning engineers to help create revolutionary clinical analysis tools. Our data team is responsible for developing new-to-science analytical methods that derive meaningful, actionable insights using data about the structure of chromatin in patient samples. Using modern machine learning techniques, we are building next generation genomic tools for understanding diseases/conditions such as cancer, autism, and reproductive anomalies.

We are seeking an organized, talented data scientist with a proven track record of developing novel machine learning systems. Particularly strong candidates will have experience with deep neural networks, especially recurrent neural networks or in image captioning applications. The chosen candidate will be responsible for development of clinically oriented machine learning analyses, from classifying potential disease markers to connecting them to actionable clinical information. They will also be responsible for participating in R&D discussions and experimental planning with members of our wet-lab team and other computational team members and contributing advice in other areas of our product line.

Every scientist and engineer on our team is given the opportunity for technical, architectural, and product-level ownership of their areas, and is expected to deliver world-class results. We value intelligence and the ability to learn, and our team is composed of people who are capable of owning a problem space top to bottom, yet who still collaborate to deliver great results as a team.

Phase Genomics’ computational team is currently fully remote, and remote candidates will be considered for this position. We are open to this position remaining remote after coronavirus mitigation procedures end.

RESPONSIBILITIES

  • Conceive, design, and implement deep learning or other analytical models to extract actionable insights from human clinical data in samples including
    • Cancer-causing or cancer-implicated mutations
    • Reproductive health
    • Autism
    • Human microbiome health
    • Other human genetic/genomic disease
  • Provide general data science expertise and advice to the team on other parts of the Phase Genomics product line.
  • Design software in a manner conducive to supporting in-market products in a devops model.
  • Collaborate with wetlab and other computational staff to optimize experimental design.
  • Help define company technical strategy, especially connecting analytical approaches to product development and product strategy.
  • Maintain thorough documentation of experiments, processes, etc.
  • Work with a collaborative and cross-functional team.
Requirements

While we are open to a broad range of backgrounds, a successful candidate will likely have the following qualifications:

  • Masters, PhD, or equivalent experience in computer science, software engineering, bioinformatics, physics, or other technical fields with a programming bent.
  • 3+ years’ experience in developing software in an industry or graduate studies setting.
  • Experience in at least one of the following software development settings:
    • Machine learning, especially deep learning
    • Data science
    • Statistical computing
    • Bioinformatics
    • Distributed data analysis
    • Physics, chemistry, astronomy, or other technical space with a big data/data science component
  • Proficiency with Python and common data science libraries (scipy, numpy, pandas, sklearn, Kerans, TensorFlow, etc.).
  • Experience with Amazon Web Services (AWS) is a plus.
  • Proven experience with recurrent neural networks, especially for image captioning problems, is a strong plus.
  • Experience with genomics is a plus, but not necessary.
  • Comfort working in an early stage company, where flexibility and teamwork are a must.
  • Position is initially remote and with agreement of management may remain so indefinitely. Candidates in US-compatible time zones preferred.
How to Apply

Please email your resume to [email protected]

About Our Organization

Seattle-based Phase Genomics uses cutting edge analytical techniques to draw novel insights from very large, rich datasets. We are building clinically directed tools that combine deep learning and other machine learning technologies using a proprietary genomic datatype. If you have great data science and/or machine learning skills and want to work on a genomic technology that can have an actual impact on human lives, we’d love to meet you.

Inside Higher Ed reports the graduate student union at the University of Michigan has ended its strike over the school's pandemic response.

The Chronicle of Higher Education asks experts what student COVID-19 data may be released.

Inside Higher Ed writes that faculty members who are parents are trying to figure out how to balance the fall semester with childcare.

Science reports that faculty members are concerned about the risks reopening universities during the coronavirus pandemic pose.