Do you like sifting through spreadsheets, using SQL and Python to automate and speed up data scraping and process, or generally have an interest in odd and/or missing data?

Knowledge, skills, and abilities:

• Strong analytical skills.
• Ability to learn and utilize relational databases, data integration, and statistics.
• Computer skills, including word processing and spreadsheet applications.
• Ability to understand scientific literature, data analysis procedures and their limitations, and current needs of the community.

Examples of day-to-day tasks:

• Data retrieval, querying, data analysis and visualizations
• Data pipeline development, maintenance and improvement
• Communicating with domain and technical experts
• Data privacy and infrastructure setup and management
• Summarizing domain specific research papers
• Sharing and reviewing resources and code
• Maintaining communication across multiple teams
• Running workshops on data wrangling and related skills