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Scientific Officer/Senior Scientific Officer (Statistics & Data Science-3 year contract, renewable)

Date: 02-Dec-2022

Location: SCIENCE, Kent Ridge Campus, SG

Company: National University of Singapore

Job Description

The duties and responsibilities of the incumbent, in the Data Analytics Consulting Centre (DACC), Department of Statistics and Data Science, include, but are not limited to the following -

  • Secure, co-ordinate and supervise consulting projects for the DACC.
  • Lead student teams and work hands-on to create practical solutions for our clients.
  • Take lead in solving problems from consulting projects by using state-of-the-art methodology from statistics, data science, mathematics and computer science.
  • Take lead in producing technology ('minimum viable products) for the delivery of consulting project results.
  • Assist with literature reviews for consulting and advisory projects.
  • Handle student walk-in consultations.
  • Build and maintain relationship with companies.
  • Manage consulting and research legal contracts.
  • Obtain funding approval for the DACC Executive Training courses and workshops.
  • Organize data science conferences and meet-ups.
  • Manage executive training courses and workshops.

Qualifications/Requirements/Other info

  • PhD in Statistics, Mathematics, Computer Science or Data Science , with experience in managing research projects. 

- Remuneration is based on a 12-month salary structure, with annual variable bonus which is subject to incumbent’s performance and the University/School’s prevailing remuneration policies. 

- The incumbent will be emplaced at an appropriate appointment grade based on his/her individual merits.

- To expedite application processing, a copy of academic certificates and transcripts from GCE O-level onwards should be uploaded via the online application portal.

Covid-19 Message

At NUS, the health and safety of our staff and students are one of our utmost priorities, and COVID-vaccination supports our commitment to ensure the safety of our community and to make NUS as safe and welcoming as possible. Many of our roles require a significant amount of physical interactions with students/staff/public members. Even for job roles that may be performed remotely, there will be instances where on-campus presence is required.

Taking into consideration the health and well-being of our staff and students and to better protect everyone in the campus, applicants are strongly encouraged to have themselves fully COVID-19 vaccinated to secure successful employment with NUS.

More Information

Location: Kent Ridge Campus

Organization: Faculty of Science

Department : Statistics and Data Science

Job requisition ID : 13146