Principal Scientist/Associate Director - Machine Learning / A.I.

Full Time

Waltham, Massachusetts, United States

Sponsors work visa for candidates.

Job description

Scismic is supporting the growth of a biotech company in Waltham, MA!

We are seeking a Principal Scientist/Associate Director in Machine Leaning/A.I. 

This role will build and lead our machine learning/A.I. group with the goal of extracting and integrating insights from various types of internal chemical and biological data sets. Leveraging your deep knowledge of state-of-the-art data science and machine learning tools, and expertise with large datasets, you will drive innovative science to deliver novel therapeutics to patients. The ideal candidate will enjoy working in a collaborative, fast-paced start-up environment, leveraging a high degree of scientific rigor, creativity and innovation. 

Job Responsibilities

  • Provide both scientific and strategic leadership within the data science organization
  • Build and directly manage a team of scientists focused on applying advanced machine learning tools.
  • Lead projects that generate novel machine learning models and algorithms leveraging our internal datasets to advance and accelerate therapeutic programs
  • Develop robust code in a collaborative code-base to facilitate the development, training, and deployment of models.
  • Effectively translate the results of technical or statistical analyses into actionable predictions and recommendations
  • Work effectively in a cross-functional capacity with the platform biology, target biology, and medicinal chemistry teams to addressing business and scientific needs through-out the company
  • Effectively communicate scientific proposals, analysis outcomes, and project goals and progress across the organization.

Requirements

  • Ph.D. in Computational Science, Cheminformatics, Computational Biology, or related field
  • 7+ years of relevant industry experience required
  • Direct management experience and project leadership experience is preferred
  • Extensive expertise in common programing and scripting languages (python, R,  C++, etc.)
  • Demonstrated experience developing, debugging, evaluating, and applying machine learning algorithms to solve scientific problems with a focus on large chemical and biological datasets
  • Experience writing, testing, and maintaining version-controlled software
  • Excellent written and verbal communication skills with a demonstrated ability to communicate the big picture concepts
  • Exhibits passion and excitement over work and brings a can-do attitude without losing objectivity
  • Adjusts quickly to changing priorities and conditions and copes effectively with complexity and change

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