Position: Postdoctoral Fellow and/or Staff Scientist on Data Visualization
Description: The Gumus lab at the Icahn School of Medicine at Mount Sinai is building data visualization tools in genomics area to help biomedical researchers make sense of large, heterogenous genomic datasets, and to present the information in ways that are clear, interactive, and creative. We have close collaboration with wetlab biologists, clinical geneticists and computer scientists both within our institution and with other leading institutions and companies across the country.
We are currently accepting applications from talented from talented and engaging people who have excellent programming and communication skills to join our group. Knowledge of genomics and/or biomedicine is a plus, but not a requirement. The person who fills this position will be responsible for co-architecting, developing, configuring and operating data visualization portals and/or software.
Because our studies involve team work, as long as you are enthusiastic about learning, we are open to consider you for a position, and train you in needed areas.
Ambitious and curious (and fun!) people with B.S., M.S., or Ph.D. in computer science (or related fields). Compensation commensurate with experience/education.
- At least one year of experience in distributed storage and processing of Big Data
- Experience with SQL systems (Postgresql, MySQL, SQL Server, etc.); UNIX, R, etc.
- A year of experience processing genomics data
- Experience with common bioinformatics databases and genome browsers (e.g. dbGap, GenBank, dbSNP, IGV, UCSC, etc)
About Mount Sinai
Internationally regarded for its dedication to medical science, Mount Sinai is home to an array of leading research institutes, centers, and laboratories, all of which work towards rapidly translating advances in basic science into innovative patient care.
Lab website: The Gumus lab