Data Scientist (at the rank of Research Officer / Assistant Research Officer)

The University of Hong Kong; London; On-site; GBP 45,000 - 65,000; Full time

Job summary

A leading university in London invites applications for a Data Scientist position at the Hong Kong Jockey Club Centre for Suicide Research and Prevention. The role encompasses research proposal writing, data analysis, and collaboration on mental health projects. The appointment is temporary for one year with competitive benefits. Excellent candidates will possess a Ph.D. and strong programming skills, including proficiency in Python and R.

Benefits

Annual leave

Medical benefits

Free access to on-campus gyms

Free access to libraries

Qualifications

• Ability to monitor, analyze, and manage data.
• Proficiency in statistical analysis and data science.
• Experience with quantitative and qualitative data.

Responsibilities

• Work on mental health-related projects.
• Write research proposals and scientific publications.
• Monitor data, perform analysis, and visualize findings.

Skills

Statistical analysis

Data mining

Predictive modeling

Machine learning

Programming in Python

Programming in R

Data visualization

Interpersonal skills

Problem-solving skills

Analytical skills

Education

Ph.D. in data science, statistics, psychology, public health, social sciences

Job description

Data Scientist (at the rank of Research Officer / Assistant Research Officer)in theHong Kong Jockey Club Centre for Suicide Research and Prevention within the Faculty of Social Sciences(Ref.: 532371)

We now invite applications for the captioned post.

Duties and Responsibilities

• Work on mental health-related projects.
• Write research proposals, scientific publications, and reports.
• Collaborate with team members to formulate and write the data analytics strategy and build relevant reports.
• Monitor data, perform data analysis, and visualize findings to support decision-making for various teams.
• Enhance dashboards and support the delivery of regular reports.
• Liaise with internal and external parties to facilitate research activities.
• Perform other duties as assigned.

Requirements

• A Ph.D. in data science, statistics, psychology, public health, social sciences, or related disciplines.
• Proficiency in statistical analysis, data mining, predictive modeling, and machine learning algorithms.
• Strong programming skills in Python and/or R.
• Experience in analyzing both quantitative and qualitative research data.
• Experience in statistical consulting, dashboard development, and data visualization.
• Knowledge of databases, natural language processing, and spatial analysis is preferred.
• Ability to monitor, analyze, and manage data to meet project needs.
• Strong leadership qualities, self-motivation, and a sense of responsibility.
• Ability to work independently and collaboratively within a team.
• Capability to handle tight schedules and meet project deadlines.
• Strong interpersonal, organizational, and problem-solving skills.
• Excellent communication and analytical skills with attention to detail.
• Excellent command of written and spoken English and Chinese (including Cantonese).
• Experience in mental health projects in Hong Kong is highly advantageous.
• Candidates with lower qualifications and/or less experience may be considered for appointment as Assistant Research officer.

What We Offer

The appointment will commence as soon as possible on a 1-year temporary basis, with the possibility of renewal subject to satisfactory performance and funding availability.

A highly competitive salary commensurate with qualifications and experience will be offered. Other benefits include annual leave, medical benefits and free access to on-campus gyms and libraries.

How to apply

The University only accepts online applications for the above post. Applicants should apply online and upload an up-to-date C.V. Review of applications will start as soon as possible and continue untilJune 30, 2025, or until the post is filled, whichever is earlier.

The University is an equal opportunities employer and
is committed to equality, ethics, inclusivity, diversity and transparency