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- Job Type: Full-time, Hybrid
- Location: Hybrid (60/40 on-site/home model)
An exciting opportunity has arisen for a skilled Data Scientist with a strong background in Bioinformatics, Molecular Biology, or related fields. The successful candidate will be instrumental in developing and maintaining a confidential, user-friendly phylogenetic database, ensuring the integrity and confidentiality of data in line with organisational policies.
Key Responsibilities- Develop and maintain a well-structured, user-friendly phylogenetic database.
- Regularly update the database through detailed phylogenetic analysis.
- Utilise AI-based approaches for rapid identification and analysis.
- Conduct de novo ’omics analysis as required.
- Provide IT support within the organisation for minor technical issues.
- Collaborate with cross-functional teams to enhance database accessibility and improve user experience.
- Ensure data accuracy, confidentiality, and integrity in compliance with data policies.
- Directly report to the Chief Scientific Officer.
- Provide monthly reports including written and visual documentation of work progress.
- Collaborate and report findings to the Scientific Advisory Board when required.
- Ph.D. or Masters in Data Science (Life Sciences), Bioinformatics, Molecular Biology, Evolutionary Biology, or a closely related field.
- Proficiency in Python or R, and familiarity with Linux operating systems.
- Experience in managing SQL-style databases and developing web interfaces.
- Strong understanding of IP issues and company confidentiality.
- Experience with AI and machine learning coding practices.
- Proficient in Microsoft Office Suite and capable of learning new software quickly.
- Experience with peptide and amino acid sequence analysis.
- Knowledge of cell signalling, hormones, receptors, and potentially insect biology or agriculture.
- Excellent ability to communicate complex data and insights effectively through both reports and presentations.
This position offers a unique opportunity to contribute to groundbreaking projects in a dynamic, interdisciplinary environment. If you are passionate about data science and bioinformatics and are looking for a challenging role that offers both flexibility and the chance to work on transformative projects, please submit your CV and cover letter detailing your relevant experience and why you are interested in this position.
