Research Software Engineer

Society of Research Software Engineering; Lancaster; On-site; GBP 35,000 - 50,000; Full time

Job summary

Lancaster University is seeking a Research Software Engineer for the Statistical Foundations for Detecting Anomalous Structure in Stream Settings (DASS) Programme. This role involves statistical analysis, software development, and collaboration across multiple universities and sectors. Candidates should hold a PhD in Statistics or a related field and be proficient in R and Python for package development. Excellent publication skills are essential.

Qualifications

• Extensive knowledge of R and Python, including package development.
• Experience with software development cycle in academic research.
• Ability to publish high quality academic writing.

Responsibilities

• Address foundational statistical challenges in data streams.
• Develop software to support research initiatives within the DASS programme.
• Provide maintenance and user support for developed tools.

Skills

R

Python

Statistical analysis

Package development

Education

PhD in Statistics or closely related discipline

Job description

Research Software Engineer Opportunity (Lancaster University): Statistical Foundations for Detecting Anomalous Structure in Stream Settings (DASS) Programme

We invite applications to join theStatistical Foundations for Detecting Anomalous Structure in Stream Settings (DASS)Programme.

This £4M programme is funded by EPSRC and brings research groups from the Universities of Lancaster, Bristol, Warwick and the London School of Economics together with a committed group of industrial and public sector partners.

DASS will consider the foundational statistical challenges of identifying anomalous structure in data streams within constrained environments, handling the contemporary data realities, and identifying and tracking dependence across streams.

The programme is led by Idris Eckley (Lancaster University), Haeran Cho (University of Bristol), Paul Fearnhead (Lancaster University), Qiwei Yao (London School of Economics) and Yi Yu (University of Warwick).

At this time, we are seeking to fill one Research Software Engineer position at Lancaster University, details of which are available here: https://hr-jobs.lancs.ac.uk/Vacancy.aspx?ref=0406-25

You should have a PhD in Statistics or a closely related discipline. You will have extensive knowledge of R and Python, including package development and experience of the academic research software development cycle, including deployment, maintenance and user support. You should also have a demonstrable ability to publish, including the ability to produce high quality academic writing, which is essential for this post.

The closing date for applications for all posts is Monday 30th June, 2025.

Candidates who are considering making an application are strongly encouraged to contact Idris Eckley ([e-mail]) and/or Paul Fearnhead ([e-mail]), to discuss the programme in greater detail.

Vacancy reference 0406-25