Senior Software/Knowledge Engineer

Organization
NuMedii, Inc.
Job Location
1047 El Camino Real
Suite 202
Menlo Park, CA 94025
Job Description

We seek a software/knowledge engineer to join our team to continue to expand our foundational technology. This is an exciting opportunity to join a tight-knit and diverse team of experts in computational science and translational medicine and have a real impact on the lives of patients. If you are passionate about the potential to utilize big data to improve the process of drug discovery and development and have a can-do mindset, come join us!

Key responsibilities include:

  • Design, implement and maintain NuMedii’s big data platform across genomics, genetics, pharmaceuticals, and chemicals databases for the identification of new drug-indication hypotheses.
  • Work closely with data scientists and biologists on the team to implement solutions and create production environments.
  • Propose and evaluate new technologies to further enhance NuMedii’s analytical and drug development capabilities.
Requirements

Basic qualifications are:

  • An MSc or PhD in Computer Science, Engineering or Bioinformatics with experience in Big Data
  • Proficiency in Python in a Linux/UNIX environment
  • Familiarity with database management systems RDMS (e.g. MySQL), NOSQL (e.g. Mongo) and RDF stores (e.g. Jena)
  • Experience developing software in an enterprise environment
  • Experience extracting knowledge from free text through NLP and ontologies
  • Authorized to work in the United States

Preferred qualifications are:

  • 2-5 years in industry with some exposure to biological data (genes, pathways, drugs) and/or drug development
  • Strong conceptual and analytical skills
  • Experience with the application of machine learning techniques to big data
  • Proficiency in R
  • Excellent verbal and written communication and presentation skills
  • Creative and self-driven
About Our Organization

NuMedii, Inc. combines big data, machine learning and systems biology approaches to discover effective new medicines for patients. A Stanford spin-out, we are working to revolutionize the drug discovery process and have a real impact on the lives of patients.

Students whose classmates are interested in science are more likely to think about a career in science, technology, engineering, and mathematics, a new study says.

CNBC reports that the genetic counseling field is expected to grow as personalized medicine becomes more common.

Gladys Kong writes at Fortune that her STEM background has helped her as a CEO.

Social scientists report that the image of the 'lone scientist' might be deterring US students from STEM careers.