MACHINE LEARNING SCIENTIST | BIOTECH

Company: Intelletec
Location: San Francisco, California, United States
Type: Full-time
Posted: 26.JUL.2021

Summary

MACHINE LEARNING SCIENTIST | BIOTECH Intelletec has partnered with a BioTech company that is revolutionizing drug discovery for brain diso...

Description

MACHINE LEARNING SCIENTIST | BIOTECH


Intelletec has partnered with a BioTech company that is revolutionizing drug discovery for brain disorders. Founded by professors from Columbia University and UCSF and experienced technologists, they are combining biotechnology, neuroscience, robotics, and machine learning techniques.


They are looking for a Machine Learning Scientist to join the team in building a world-class high-throughput bioscience data processing platform that includes image processing, video analysis, multi-modal data integration, feature extraction, Bayesian modeling, sequence modeling, and deep learning for classification and regression.


This role is as a core member of the machine learning team. You'll participate in team-wide projects and lead the design and delivery of independent initiatives.


Responsibilities:

  • Design and implement data preprocessing, integration, and analysis solutions
  • Mentor and cross-train with other ML scientists through academic-style discussions
  • Collaborate with Biology team to understand and interpret data
  • Partner with Platform Software Engineering team to build and deploy production analysis tools

Candidates must have:

  • Demonstrated machine learning expertise
  • MS or Ph.D., or equivalent, in a quantitative field, e.g., physics, math, computer science, theoretical neuroscience
  • Python fluency; strong programming practices
  • Facility with scientific computing tools: NumPy, SciPy, TensorFlow/PyTorch, or equivalents
  • Ability to deal well with ambiguity and act with autonomy
  • Initiative, curiosity, a bias for action, and a problem-solving attitude
  • A deep desire to learn
  • High personal standards of reliability and a track record of driving projects to completion


The ideal candidate will have some of the following:

  • Experience with deep learning, Bayesian modeling, computer vision, supervised and unsupervised learning techniques
  • Track record of working on challenging biological problems and manipulating biological data sets (e.g., microscopy, gene expression, genomics)
  • Familiarity with AWS
  • Experience in a fast-paced startup environment


They offer competitive salaries and benefits, and opportunities for professional growth, in an intellectually stimulating and fast-paced environment.

 
Apply Now

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