Principal Scientist - Bioinformatics
- bradford, west yorkshire, BD1 1AU, United Kingdom
- Permanent·Remote
- Full time
- £85,000 - £85,000 Per Annum
Job Description
About the Role
Our client, a leader in genomic research , is seeking a highly experienced Principal Scientist - Bioinformatics to join their fully remote team. This senior role will be instrumental in shaping the company's bioinformatics strategy, leading complex data analysis projects, and driving the development of novel computational tools to interpret large-scale biological datasets. You will collaborate with world-class researchers and clinicians to uncover insights into disease mechanisms and identify new therapeutic opportunities. This is a unique opportunity for a seasoned bioinformatician to have a significant impact on groundbreaking research from the comfort of their home, contributing to a culture that champions scientific excellence, innovation, and remote collaboration.
Key Responsibilities
- Lead the design and implementation of advanced bioinformatics pipelines for the analysis of genomic, transcriptomic, and proteomic data.
- Develop and apply cutting-edge statistical and machine learning methodologies to biological data.
- Oversee the integration and analysis of diverse datasets to drive discovery in disease research.
- Provide expert guidance and mentorship to a team of bioinformatics scientists.
- Collaborate closely with cross-functional teams, including computational biologists, statisticians, and experimental scientists.
- Communicate complex findings effectively through reports, presentations, and publications.
Requirements
- PhD in Bioinformatics, Computational Biology, Statistics, Computer Science, or a closely related field.
- A minimum of 7 years of progressive experience in bioinformatics research and development, with a proven track record of leadership.
- Expertise in programming languages such as Python or R, and proficiency with bioinformatics tools and databases.
- Deep understanding of statistical modeling, machine learning, and data mining techniques applied to biological data.
- Experience with cloud computing platforms (AWS, Azure, GCP) and containerization technologies (Docker, Singularity).
Benefits
- Highly competitive salary and performance-based incentives.
- Comprehensive health, dental, and vision insurance.
- Generous allowance for home office setup and professional development.
- Significant opportunities for career advancement and scientific leadership.
- Fully remote working environment, allowing for exceptional work-life balance.


