Senior Computational Biologist - Genomics

About the Role

Our client is looking for a highly skilled and innovative Senior Computational Biologist to join their cutting-edge genomics research team, working entirely remotely. This role is central to leveraging large-scale genomic and transcriptomic data to uncover new biological insights and drive therapeutic discovery. You will design and implement advanced computational methods, develop pipelines for data analysis, and collaborate closely with experimental biologists and bioinformaticians. This position offers a unique opportunity to make significant contributions to scientific understanding and drug development from your home office, utilizing state-of-the-art technologies and working within a leading research organization focused on Cambridge 's vibrant biotech hub.

Key Responsibilities

• Develop and apply computational and statistical methods to analyze large-scale genomics, transcriptomics, and epigenomics datasets.
• Design and build robust bioinformatics pipelines for data processing, quality control, and analysis.
• Collaborate with experimental teams to interpret results and generate testable hypotheses.
• Develop predictive models for disease risk, drug response, or target identification.
• Contribute to scientific publications and presentations, sharing findings with the wider research community.

Requirements

• PhD in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related quantitative field.
• 5+ years of experience in computational biology, with a strong focus on genomics and transcriptomics data analysis .
• Proficiency in programming languages such as Python or R, and experience with relevant bioinformatics tools and libraries.
• Experience with cloud computing platforms (e.g., AWS, GCP) and containerization technologies (e.g., Docker).
• Excellent problem-solving skills and the ability to communicate complex technical concepts clearly in a remote setting .

Benefits

• Highly competitive salary and comprehensive benefits package, including stock options.
• Full remote work flexibility, promoting excellent work-life integration.
• Generous allowance for professional development, conferences, and training.
• Opportunity to work on high-impact research projects at the forefront of genomic science.
• Be part of a dynamic and collaborative scientific community, contributing to advancements that could redefine healthcare, ideally located near the innovation cluster in Cambridge .