Data Science Research Associate

Job Summary:

We are seeking a creative data scientist for a role on our computational team to help develop a novel platform for the discovery of drug targets. Our computational engine combines rigorous mathematical and statistical analysis with sophisticated software development strategies. The platform integrates formal bioinformatics knowledge with ever-expanding datasets from genomics, single-cell biology, stem cells and neuroscience, to enable the rational identification of novel drugs. Successful candidates for this role will have a background in computer science, mathematics, physics, or biology, together with experience engineering object-oriented software. In addition, he/she must be able to work effectively in a collaborative setting with scientists and engineers.

Key Responsibilities:

  • Work on a team to develop software to extend components of our computational platform, including sequence and genomics analysis, machine learning, and artificial intelligence algorithms
  • Collaborate with our experimental scientists to analyze high-dimensional data from sequencing and neuroscience experiments
  • Contribute to the implementation and maintenance of our distributed computational infrastructure on Amazon Web Services (AWS) and our laboratory information management system (LIMS)
  • Participate in code reviews; software deployment and maintenance; iteration planning and timeline estimation; and software design discussions

Qualifications and Education Requirements:

You must have:

  • B.S. or M.S. in Computer Science, Mathematics, or the Biological or Physical Sciences
  • Creativity and original thinking are paramount
  • Substantial programming experience, preferably in C++/Java, Python, MATLAB, and/or R
  • Excellent communication and interpersonal skills (the role requires collaboration with both experimental and computational scientists)
  • Commitment to rigor, in both quantitative analysis and software development

Additional bonus qualifications (useful but not requisite):

  • A background in machine learning or artificial intelligence
  • Biological knowledge or experience working with biological datasets
  • Experience working with relational database systems
  • Familiarity with Unix/Linux operating systems, Amazon Web Services (AWS), and/or Git version control

To Apply

To apply for this position, send us your resume and cover letter to careers@kallyope.com.


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