Senior Data Scientist - Genomics

About the Role

Our client is seeking a talented and experienced Senior Data Scientist specializing in Genomics to join their innovative research team. This role, based in Nottingham , will focus on leveraging large-scale genomic datasets to uncover critical biological insights and drive forward new therapeutic discoveries. You will be responsible for developing and implementing advanced analytical models, collaborating with cross-functional teams, and translating complex data into actionable strategies. This is an exciting opportunity to contribute to high-impact research in a collaborative and technologically advanced environment.

Key Responsibilities

• Design and execute sophisticated analytical approaches for large-scale genomic and multi-omics datasets.
• Develop and implement predictive models, machine learning algorithms, and statistical methods.
• Collaborate with biologists, bioinformaticians, and clinicians to define research objectives and interpret findings.
• Build and maintain data pipelines for processing, analyzing, and visualizing genomic data.
• Communicate complex analytical results and insights effectively to diverse scientific audiences.
• Contribute to the strategic planning of data-driven research initiatives.

Requirements

• PhD or MSc in Bioinformatics, Statistics, Computer Science, Data Science, or a related quantitative field.
• Minimum of 5 years of professional experience in data science, with a specialization in genomics or bioinformatics.
• Strong proficiency in programming languages such as Python or R, and experience with relevant data science libraries.
• Expertise in analyzing next-generation sequencing (NGS) data and other high-throughput genomic datasets.
• Solid understanding of statistical modeling, machine learning, and data visualization techniques.
• Excellent problem-solving, communication, and collaboration skills.

Benefits

• Competitive salary and attractive performance-based bonuses.
• Comprehensive health, dental, and vision insurance.
• Generous pension plan and life assurance benefits.
• Support for continuous professional development and training opportunities.
• Opportunity to work on impactful research projects with cutting-edge technology.