Data Scientist

Our vision is to be widely recognised and acknowledged within the global biopharmaceutical community as an industry-leading discoverer and developer of innovative, first-in-class, drug molecules.

By fully utilising the expertise and knowledge of our team to address the significant hurdles inherent in drug discovery, we are driven to make fundamental contributions to the development and advancement of new medicines that address unmet medical needs across a range of therapeutic indications.

If you are passionate about science, interested in working in a friendly and stimulating environment, and would welcome the opportunity to bring your best to our company, we are always interested in hearing from you.

As a member of the bioinformatics group, the post holder will support all aspects of data science and integration within Almac Discovery. Working across the biology, chemistry, and protein therapeutics teams, the role will involve managing the storage, processing and analysis of data that is produced by the scientific teams.

This is an exciting opportunity to play a central role in the further development of Almac Discovery as an innovative and successful biotechnology company. Preference will be given to a motivated individual with a high level of scientific commitment and a strong work ethic, who thrives in a highly collaborative environment.

Travel Requirement: As part of this dynamic role, you will be expected to travel across all Almac Discovery locations, including Belfast, Edinburgh, and Manchester. Flexibility and willingness to travel are essential to support the needs of the business. The post holder must be able to undertake travel in line with business requirements.

• BSc or MSc in Data Science, Bioinformatics or Computer Science.
• Experience of developing databases and executing SQL queries.
• Experience of using Linux-based operating systems and command line applications.
• Experience of creating data visualisations.
• Ability to develop using one of R or Python.
• Experience developing software applications.
• (The following criterion may be applied if a large pool of applicants exists)
• PhD in Data Science, Bioinformatics or Computer Science.
• Prior work experience in a relevant industrial, academic or life science setting.
• Experience using and/or building ELN or LIMS systems.
• Prior experience in building data analytics software.
• Experience of writing / developing SOPs.