Data Scientist

Industry: Biotechnology
Company size: 1-10

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Job description

A leading business that aims to develop life-saving cancer therapies using cutting-edge science and machine learning is looking for a Data Scientist. The selected candidate will be working closely with the algorithm and data sciences team to fine-tune data architecture. The company is looking for opportunities to create new therapies that significantly improve clinical outcomes by developing the first true multi-omics target discovery and development platform. This will be a full-time position that requires some overlap with the EST/PST time zone.


Job Responsibilities:

  • Bring advanced computational skills to bear on a critical problem in cancer treatment 
  • Propose, develop, and validate novel methods of proffering solutions
  • Iteratively, experimentally, and scientifically generate high-value pipelines on existing general data 
  • Operate and function actively in a multidisciplinary environment 

Job Requirements:

  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
  • At least 3+ years of relevant experience as a data scientist
  • Extensive experience with Machine Learning, Python, Pandas, R, TensorFlow, and Keras
  • Familiarity with PyTorch, Scikit-Learn, and Jax
  • Expertise in executing in-depth data examination in industrial or academic settings
  • Must be comfortable building an extensive background in the field
  • Readiness to work across functional teams is paramount
  • Be a culture setter by embodying principles of integrity, mutual respect, purpose, and collaboration
  • Experience working with *omics datasets and a working knowledge of CRISPR and Cancer Biology is nice to have

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In a nutshell, Turing aims to make the world flat for opportunity. Turing is the brainchild of serial A.I. entrepreneurs Jonathan and Vijay, whose previous successfully-acquired AI firm was powered by exceptional remote talent. Also part of Turing’s band of innovators are high-profile investors, such as Facebook's first CTO (Adam D'Angelo), executives from Google, Amazon, Twitter, and Foundation Capital.

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