Job Description:
Data scientist specializing in analysis of large, high-dimensional datasets and associated methods.
Apply techniques from statistics, machine learning, and computational biology to a variety of datatypes and datasets from across Arcadia's research organisms. Datasets might range from genomics, multi-omics, imaging, time course, mass spectrometry, and neural recordings.
Coordinate with experimentalists from experimental design all the way to publication.
Work with our publishing team to build interactive, sharable resources for the scientific community.

Our ideal candidate would have a history of contributions in analysis of complex datasets, a curiosity to work on a variety of problems and data types, and a passion for open science. They would be able to share their expertise both within and outside of Arcadia, and they would be able to translate difficult concepts into runnable, sharable analysis.

The Arcadia Story:
We are a research and development company leveraging the biology of emerging research organisms. We were founded by Seemay Chou and Prachee Avasthi, scientists convinced there is a better way to explore the full potential of science: how discoveries can be both meaningful and profitable. We are building a team of in-house scientists to carry out active research programs and convene a broader scientific community with a visiting scholars and internship program. Visit our website at www.arcadiascience.com to learn more about our work and check out Seemay’s founding story here.

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