Senior Data Scientist - Bioinformatics (Remote)
- belfast, northern ireland, BT12AA, United Kingdom
- Remote
- Full time
- £80,000 - £80,000 Per Annum
Job Description
About the Role
Our client is seeking a seasoned Senior Data Scientist with a specialization in bioinformatics to join their fully remote research division. This role is crucial for advancing their understanding of complex biological data through advanced analytical techniques and machine learning. You will work with large datasets derived from genomic, proteomic, and clinical studies, transforming raw data into actionable insights that drive research and development initiatives. This position offers the opportunity to work on impactful projects from the comfort of your own home, collaborating with a talented, geographically dispersed team dedicated to pushing the boundaries of scientific knowledge. The successful candidate will be a strategic thinker with a strong technical foundation.
Key Responsibilities
- Apply advanced statistical methods and machine learning algorithms to analyze large biological datasets, including genomics, transcriptomics, and proteomics.
- Develop and deploy data analysis pipelines and predictive models for various research applications.
- Collaborate closely with biologists, chemists, and clinicians to define research questions and design data-driven experiments.
- Identify trends, patterns, and anomalies in complex datasets and communicate findings effectively.
- Develop data visualization tools and reports to present complex analytical results to diverse audiences.
- Contribute to the development and implementation of best practices in data science and bioinformatics within the organization.
Requirements
- Ph.D. or Master's degree in Bioinformatics, Data Science, Computer Science, Statistics, or a related quantitative field.
- Minimum of 5 years of professional experience in data science or bioinformatics, with a proven track record of handling complex biological data.
- Strong proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., pandas, scikit-learn, Bioconductor).
- Deep understanding of machine learning techniques, statistical modeling, and experimental design.
- Experience with relational databases and big data technologies.
- Excellent communication and problem-solving skills, with the ability to work effectively in a remote team environment.
Benefits
- Competitive salary and a comprehensive benefits package.
- Fully remote work setup, providing excellent work-life balance.
- Health, dental, and vision insurance coverage.
- Opportunities for professional development, including access to online courses and conferences.
- A collaborative and intellectually stimulating virtual work environment.


