Home > Jobs > 2016 > Postdoc position at Department of Biomedical Informatics: Biomedical Data Scientist Postdoctoral Associate

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Postdoc position at Department of Biomedical Informatics: Biomedical Data Scientist Postdoctoral Associate open

Summary

Imagine a dynamic dataset that encompasses comprehensive information about a patient in the health care system: what diseases they have, their genomic sequence, their social media messages (e.g, tweets and likes), and where they live. How would you--a data hacker--store, retrieve, and analyze this information to drive biomedical discovery to find a new way of predicting disease or even a new therapy for a disease? Chirag Patel's Group at the Department of Biomedical Informatics at Harvard Medical School is looking for a data engineer to build cutting-edge platforms and data infrastructure to enable large-scale data-driven research to address this question. We aim to integrate diverse data sources from geotemporal information (e.g., NOAA Weather Data, EPA AirData), individual genomic sequence, social media data, and health claims information to paint a comprehensive picture of individuals who are sick and healthy.

Responsibilities

First, the Biomedical Data Scientist Postdoctoral Associate will aggregate publicly available data sources from numerous sources. The Data Scientist will apply statistical machine learning algorithms for prediction and discovery of clinical, genetic, and environmental factors related to disease.

The diversity of subject matter will require a creative mind and a candidate capable of deploying imaginative strategies and who is dedicated to solving complex and challenging problems within an interdisciplinary environment.

Requirements

Candidates must have a PhD in computer science, mathematics, physics, biomedical informatics, bioinformatics, computer science, or a related quantitative field.

Preferences

Preferred qualifications for this position include experience designing large software applications and infrastructure to store, retrieve, and analyze large datasets. Industry experience with R, Python, SQL (Oracle), JavaScript is not required, but awesome. Experience in hacking with cloud technologies (e.g., Amazon, Hadoop) is also awesome. Experience with geographical information systems (GIS), including google maps, ArcGIS would honestly make us cry in joy.

Terms

The position is available immediately and can be renewed annually.

How to apply

Email applications including curriculum vitae, summary statement of personal objectives, and the names and email addresses of 2-3 references to Chirag Patel (chirag_patel at hms.harvard.edu).

Harvard Medical School is an Equal Opportunity/Affirmative Action Employer.

Women and minorities are especially encouraged to apply.

 

posted 2016.02.06