Post Graduate Data Scientist

University of Southampton Malaysia; Southampton; On-site; GBP 40,000 - 60,000; Full time

Job summary

A leading educational institution is seeking a skilled Data Scientist to join their Clinical Informatics Research Unit. The role involves creating automated data pipelines and transforming datasets to support the Pre-hospital Research and Audit Network, which aims to improve emergency medicine and patient outcomes. The successful candidate will work collaboratively with clinicians and software engineers and ensure compliance with research standards. Competitive pay and generous benefits are offered.

Benefits

Generous holiday allowance

Career development and training

Pension scheme

Qualifications

• Strong background in data science, particularly in creating automated data pipelines.
• Experience in transforming datasets for research purposes.
• Familiarity with compliance in clinical research environments.

Responsibilities

• Create automated data flow pipelines from multiple sources into a central database.
• Format and transform datasets into the desired formats.
• Develop reports and visualization tools.
• Collaborate with various professionals to design the PRANA database.

Skills

Python

SQL

Healthcare data experience

Data visualization

Tools

GIT

Job description

An exciting opportunity for a skilled and motivated Data Scientist to join a growing group (AXIS, Access eXtract and Integrate Safe Data) within the Clinical Informatics Research Unit (CIRU). This role will help establish and expand The Pre-hospital Research and Audit Network (PRANA). PRANA aims to create an end-to-end research-ready database, addressing the current lack of scalable research methods from pre-hospital critical care to patient outcomes. Additional connections to datasets such as traffic collision databases will also be integrated into PRANA. This resource has the potential to significantly impact emergency medicine treatment and governmental policy.

The ideal candidate will have a strong background in data science, especially in transforming datasets and maintaining data pipelines across organizations and systems. The primary focus will be to interact with various data sources to create data pipelines that facilitate data delivery into a central database. This involves establishing the database and data flows that expand PRANA. Subsequent research will utilize this data by our team and external researchers. PRANA will be hosted in the NHS Sub National Secure Data Environment (The Wessex SDE), so experience with healthcare data and secure environments is desirable.

For more information, visit: https://www.the-ciru.com/ and https://www.prananet.org/about-us.

Reporting Relationships

The Data Analyst will report to the Data Science Lead and the Chief Investigator of the PRANA research programme.

Duties And Key Responsibilities

1. Utilize Python / SQL / other languages to create automated data flow pipelines from multiple sources into a central database.
2. Format and transform datasets from various sources into the desired format for PRANA, using repeatable and automatable code.
3. Curate and consolidate clinical data from multiple sources.
4. Develop reports and visualization tools.
5. Collaborate with clinicians, statisticians, and software engineers to design PRANA database and pipelines.
6. Ensure compliance with regulatory and ethical standards for clinical research.
7. Optionally, utilize statistical analysis to explore the PRANA dataset.

As a Team Member

1. Work collaboratively, offering guidance and resolving issues on projects.
2. Use code versioning (GIT) for team collaboration.
3. Participate in projects to improve processes, tools, and systems.
4. Uphold the university’s values, including high ethical standards, integrity, collaboration, and teamwork.

The University of Southampton offers competitive pay, career development, training, a generous holiday allowance (30 days plus bank holidays and closure days), pension scheme, and family leave arrangements.

For discussions, contact Dr. Ashley Heinson at [e-mail].

Apply online before the deadline. For assistance, contact Recruitment at [phone] or [e-mail], quoting the job number.

The university is committed to diversity and inclusion, fostering a respectful and equitable environment. We support flexible working arrangements.

Apply by 11.59 pm GMT on the closing date.