At the Arnhold Institute, we seek to drive the next generation of health impact, both domestically and globally, through data-driven and open innovation. We are looking for a data engineer to help streamline our processes, create and maintain high-quality datasets, and design interfaces to efficiently query complex and heterogeneous databases.

Responsibilities

  • Lead our Big Data efforts by designing our first Big Data system to manage and create large global health datasets.

  • Build and own core infrastructure and abstractions that handle data retrieval, storage, and processing to rapidly analyze data and build applications that use our data.

  • Ability to extract complex data from multiple databases and merge that information into a new scalable database (e.g. Extract Transform Load -- ETL).

  • Be our leader in data transparency by designing and overseeing protocols to produce useful, accurate, and scalable data products for public use and for publication in Open Science publications.

  • Maintain an extremely high standard of code quality, system reliability, and performance.

Qualifications

  • Previous experience as a data engineer is required.

  • Previous experience setting up a Big Data system is preferred.

  • Previous experience on multi-disciplinary teams is preferred.

  • Familiarity with health-related datasets and electronic health records is preferred.

  • Have strong communication skills.

  • Have experience  in a wide range of data management systems (e.g. Redshift, Vertica, Greenplum, Teradata, PostgreSQL, MySQL) and have the ability to articulate the pros and cons of each one.

  • Strong scripting experience to produce high-quality workflow scripts.

  • B.Sc or M.Sc. in a technical field is preferred but we give preference to proven experience and high quality work.

To Apply...

Email the following documents to james.faghmous@mssm.edu with the title of the position in the email title (e.g. postdoctoral scholar, assistant professor, etc.)

  1. A 1-page resume

  2. Link to your open source software repository

  3. A link to what you consider your most important data engineering project with a paragraph why

  4. The names and contact information of two professional references.

About the Arnhold Institute for Global Health

The Arnhold Institute for Global Health is the newly founded global health institute at the Icahn School of Medicine at Mount Sinai. Our mission is to transform healthcare from a centralized, expert-based, reactive, and disease-focused discipline to a distributed, people-focused, continuous, and multi-dimensional approach to health. Data science is at the center of this endeavor, where we seek to learn from large-scale "Big Data" as well as "small data" and inform the design of healthcare models and policies to promote a transformative and equitable view of health to serve 8B+ people around the world.

To carry out this mission, we are supported by a generous $30M gift from the Arnhold family. In addition to the overwhelming support of Mount Sinai for our mission, joining the Arnhold Instute has several perks:

  • We focus on mission-driven data science. Our work is judged based on the transformative potential not the number of papers published. We want to change the world for the better, and we hire and promote based on those values.

  • We are small team of young and energetic investigators. We take a team approach to problem solving and value all perspectives and backgrounds.

  • Transparent and progressive tenure and promotion procedures.

  • Competitive startup funds, relocation packages, and hardware infrastructure.

  • The ability to build a transformative effort from the ground up and leave a legacy for investigators that will follow in your footsteps.

  • Access to world-class designers, system engineers, and health scientists to drive high-impact interdisciplinary work.

  • We are located in the historic NY Academy of Medicine right next to Central Park on Fifth Avenue. Many of our team members conduct walking meetings in the Park!

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