Gregory Leeman

Personal Statement

I am a versatile and accomplished software developer with a background in both bioinformatics and full-stack development. I have built robust web platforms to support daily lab operations and created data analysis tools used in large-scale, genomic research. I thrive in collaborative, multidisciplinary environments, where I work closely with stakeholders to understand problems and deliver elegant technical solutions.

Key Skills

Full Stack Development

Developed large-scale web applications to manage biological sample data. Proficient with Python, Flask, SQLAlchemy, React, and PostgreSQL. Skilled in designing REST APIs and scalable frontend architectures.

DevOps and Cloud

Managed deployments and workflow automation using Docker, Kubernetes, Terraform, and GitLab CI/CD on private cloud infrastructure (OpenStack) with exposue to public cloud tools (e.g. AWS EC2, S3).

Biological Data Analysis

Orchestrated, maintained, and optimized bioinformatics pipelines for tumour-normal genomic data analysis in both internal Sanger operations and an international prostate cancer collaboration.

Experience

Software Developer → Senior Software Developer, Wellcome Sanger Institute 2019 – Present (5 years)

Working within the Cancer, Ageing and Somatic Mutation (CASM) team, supporting bioinformatics pipelines for tumour-normal analysis. Key contributions include:

• Coordinated infrastructure development for the PanProstate consortium, enabling distributed genomic data analysis across global partners.
• Developed a comprehensive sample tracking system integrating metadata, shipment tracking, and legal compliance, fully integrated with the lab’s electronic notebook systems (Benchling).
• Containerized and deployed analysis tools using Docker and Kubernetes to improve reproducibility and scalability.
• Promoted to Senior Software Developer in 2023.

Animal Technician, Wellcome Sanger Institute 2017

Cared for mice and rats and assisted with experimental protocols.

Education and Qualifications

MSc Bioinformatics and Systems Biology, Imperial College London 2018 – 2019

• Studied the mathematical backgrounds of machine learning, Bayesian statistics, and biophysical modelling.
• Developed an understanding of protein structure prediction, genome sequence analysis, and population genetics.

BSc (Hons) Animal Science with a Year of Computer Science, University of Nottingham 2014 – 2018

• Built an understanding of biology, with specific focus on immunology, endocrinology, genetics and biotechnology.
• Studied image analysis, data modelling and information visualisation theory.