Postdoctoral Researcher
- Michigan Technological University
- Location: Houghton, MI
- Job Number: 7100605
- Posting Date: May 23, 2022
- Application Deadline: Jul 31, 2022
Job Description
POSITION TITLE: Postdoc researcher (Ph.D.) or Research Associate (MS degree)
Duties: Development of a data management system for big data storage and retrieval
LOCATION: Michigan Tech, Houghton, MI 49931, USA (Working remotely may be considered)
JOB TYPE: Full-Time
SALARY: ~$60,000/Year based on experience
QUALIFICATIONS
Expected experience (Applicants with the following experience are encouraged to apply. Applicants with MS degree with experience are also encouraged to apply)
• Education – Ph.D. degree required; degree in computer science, bioinformatics, computational engineering, and other STEM majors preferred. MS degree in above field with relevant experience are also be considered;
• Experience with DNA sequence data preprocessing and analysis is a plus;
• Know SQL, PHP, Python, Java, JavaScript, Perl, and C/C++ to develop data management system, web application, and create pipelines for queries and data retrieval;
• Familiarity with relational database management systems – SQL, non-relational database (NoSQL), for example, MongoDB and Cassandra;
• Manages the database, the duties include creation, alteration, deletion, and copying of schemas, databases, tables, views, indexes, stored procedures, triggers, and declarative integrity constraints;
• Explore the cloud computing using AWS, Azure, or Google cloud;
• Can work independently & collaboratively with limited guidance in a small team setting;
• English Fluency –be able to speak, write, and understand English.
RESPONSIBILITIES
• Determine how data should be structured, stored, and integrated with existing IT systems;
• Design new infrastructure, build data preprocessing pipelines, and collect and organize structured and unstructured sources of information;
• Clean and check quality of data;
• Develop Web application and integrate of other tools for data analysis;
• Generation of statistics, reports, presentations, and visualizations;
• Explore the Cloud computing and tools to analyze the data in the storage;
Please submit your CV and the names of three references to Prof. Hairong Wei ([email protected] )