Data Scientist

Job Description

With manufacturing sites across the US, UK, Germany, and Denmark, LGC Biosearch Technologies plans to continue growing. We deliver mission‑critical genomics to a diverse customer base in molecular diagnostics, pharma/biotech, and agrigenomics. Our integrated portfolio of products, services, and expertise supports our purpose of Science for a Safer World and enables research into life‑altering treatments worldwide. We are currently seeking candidates who thrive in a high‑growth, purpose‑driven organisation.

We seek a dynamic and experienced Data Scientist to play an integral role in developing and enhancing LGC's data science product portfolio. As a pivotal member of our innovative R&D team, you will collaborate closely with multiple divisions within LGC, leveraging your data science expertise to deliver impactful insights and advanced solutions. The ideal candidate must possess experience across various data mining techniques, analytical methodologies, and modern data‑modeling tools.

Skilled in designing, building, and deploying sophisticated models on‑premises and in the cloud, creating novel algorithms, programming, optimizing processes, and conducting comprehensive simulations.

• Work with multiple partners throughout the organization to identify valuable data sources and automate collection processes
• Undertake pre‑processing, curating, and model building of structured and unstructured data
• Analyze large datasets to discover trends and patterns
• Help identify and define new product ideas based on the outcomes from predictive models and machine‑learning algorithms
• Present analytical results using data visualization techniques
• Propose data science solutions and strategies for R&D and business challenges
• Translate ideas from theory into deployment
• Attend meetings, conferences, symposia, and seminars to promote LGC capabilities and stay abreast of scientific/technological developments
• Learn, follow, and deliver high‑quality product development documentation consistent with LGC’s quality systems
• Follow ISO 13485 quality management system requirements

• Ph.D. or M.S. (or equivalent) with 3–5 years of industry/academic experience in data science, mathematics, computer science, physics, biostatistics, computational biology, operations research, or a related field
• Ability to break down and understand complex business/scientific challenges, define solutions, and implement them using advanced quantitative methods
• Proficiency in high‑level scripting languages (Python, Java)
• Experience in low‑level programming languages (C/C++)
• Experience with data analysis and visualization tools (R, matplotlib, or similar)
• Experience with Linux‑based operating systems and shell scripting
• Expertise in supervised and unsupervised learning methods
• Knowledge of statistical and data‑mining techniques (clustering, GLM/Regression, Random Forest, Boosting, trees, text mining, network analysis, etc.)
• Ability to analyze algorithms
• Knowledge of software development principles and architecture
• Basic computer skills, including Microsoft Office suite (Word, Excel, PowerPoint, Visio)

• Understanding of deep learning and LLM algorithms
• Knowledge of probability, Bayesian statistics, and neural networks
• Experience with Cloud technologies such as AWS, Azure, or GCP
• Knowledge of relational databases such as MySQL

• Clear strategic thinker with proven critical relationship‑development skills
• Aptitude for complex problem‑solving and continuous improvement, with willingness to work in a rapidly growing matrix organisation
• Ability to work well in a team environment, adapt to change, and exert influence positively and directionally
• Demonstrated autonomy: self‑start and drive while recognizing the appropriate time for collaborator engagement
• Committed to achieving goals, ensuring targets are met within specified timelines and budgets

Minimum: $90,000/Annually

Maximum: $150,000/Annually

Bonus eligible

LGC is a leading, global life‑science tools company, providing mission‑critical components and solutions…