Data Scientist

18 hours ago

Apply Now
Logo of LGC

LGC

Biotechnology • Pharmaceuticals • Science

LGC is a global leader in life science tools, partnering with customers to provide innovative solutions for some of the world's most complex challenges. The company specializes in diagnostics and genomics, offering products and services that improve the safety of food, medicines, and the environment. LGC's expertise extends to nucleic acid therapeutics, biosearch technologies, and reference standards, supporting accurate diagnostics and safety compliance. Their commitment to science and public health is evident in their response to global pandemics and contribution to conservation efforts using genotyping technologies. By collaborating with end-user labs, biopharma, and academic institutions, LGC continues to advance precision medicine and enhance global health standards through research, proficiency testing, and the development of new technologies.

📋 Description

• Work with multiple partners throughout the organization to identify valuable data sources and automate collection processes • Undertake pre-processing, curating, and model building of the structured and unstructured data • Analyze large datasets to discover trends and patterns • Help identify and define new product ideas based on the outcomes from the 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 • Taking ideas from theory into deployment • Attend meetings, conferences, symposia, and seminars to promote LGC capabilities and to stay on top of scientific/technological developments • Meticulously learn, diligently follow, and deliver high-quality product development documentation consistent with LGC’s quality systems • Follow company requirements of the ISO 13485 quality management system

🎯 Requirements

• Ph.D or M.S or equivalent experience with at least 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 and experience in 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 working knowledge of Microsoft Office suite of products, particularly Word, Excel, PowerPoint, and Visio.

🏖️ Benefits

• Bonus eligible

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