Job Posting: Lead Senior Research Data Management System Developer at Harvard

[Eleni Castro]

(Apologies for cross posting)

There is an updated job opening for Lead Senior Research Data Management
System Developer at Harvard Medical School
<https://sjobs.brassring.com/tgwebhost/jobdetails.aspx?jobId=1181005&PartnerId=25240&SiteId=5341&type=mail>,
who
will be working closely with the Dataverse Team at Harvard, so please share
with anyone you think might be interested. Job announcement is below and
feel free to get in touch with data at sbgrid.org if you have any questions.

Thanks for your consideration and have a happy holiday season!

Eleni


-------------------------------------


*Auto req ID*

38001BR

*Business Title*

Lead Senior Research Data Management System Developer

*School/Unit*

Harvard Medical School

*Sub-Unit*

------------

*Location*

USA - MA - Boston

*Job Function*

Information Technology

Research

*Time Status*

Full-time

*Department*

Biological Chemistry and Molecular Pharmacology

*Salary Grade*

059

*Union*

00 - Non Union, Exempt or Temporary

*Duties & Responsibilities*

A joint project between the SBGrid Consortium at Harvard Medical School and
the Dataverse Team at the Institute for Quantitative Social Science at
Harvard University has an immediate opening for a lead developer to help us
build a next generation data publication system for large biomedical
datasets. We aim to make biomedical datasets publicly available through a
federated data grid to facilitate access, citation, and data analysis by
scientists. Our pilot collection includes datasets generated using X-ray
crystallography, computer modeling, lattice light sheet microscopy, and
microED diffraction. This collection is currently replicated to computing
centers in the US, Europe, Asia, and South America. The project is
supported by the Helmsley Charitable Trust and was recently selected as a
pilot of the U.S. National Data Service. To learn more about the
environment, please visit our current implementation at data.sbgrid.org and
our group websites at sbgrid.org, slizlab.org, and
http://datascience.iq.harvard.edu/team.


The lead developer will be responsible for successfully migrating our
in-house research data management system, written in Python, to Dataverse (
http://dataverse.org) after first extending Dataverse (with the full
support of the Dataverse development team) to include the features
necessary for the migration. The candidate will develop a final set of
requirements based on the feedback and experience of the end-user community
using our current pilot system. Examples of features that must be added to
Dataverse include better support for large (~100 GB) datasets, automatic
data validation pipelines, and other functionalities relevant to specific
biomedical data types. The lead developer will also help to evaluate data
transfer and upload and management technologies, such as Globus, that can
integrate with Dataverse to support larger datasets and provide direct
computing on the data. The developer will work with our team to ensure that
all new functionality developed under this project is merged into the
Dataverse open source project and shared with the community.


As a senior member of our team, this individual will also support training
junior members, collaborate with collection specialists, and present
outcomes of the project at meetings and conferences.



*Basic Qualifications*

Bachelor's Degree in computer science or engineering and 5-8 years of
strong programming experience is essential, preferably in Java and Python,
ideally in the context of web applications.

*Additional Qualifications*

Our team will welcome candidates with diverse technical backgrounds, but
the successful candidate will have experience handling large datasets and
leading software development projects. A working knowledge of Linux, shell
scripting, databases, and distributed version control systems (git,
mercurial, etc) is also necessary. The ideal candidate will also be
familiar with data management software and the handling and analysis of
large datasets.

*Additional Information*

This is a term appointment ending on September 30, 2018.


-- 

Eleni Castro <ecastro at fas.harvard.edu>

Research Coordinator, Data Acquisition and Archiving, Data Science

IQSS, Harvard University

http://www.iq.harvard.edu/people/eleni-castro


~Got Data? Check out the Dataverse Project. <http://dataverse.org/>~

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2015-12-17
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