Data Scientist

Company Description

With manufacturing sites across the US, UK, Germany and Denmark, LGC Biosearch Technologies has plans to continue growing. We deliver mission critical genomics to our 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 we have embodied our mission by working with customers to enable research into life-altering treatment for disease and illness worldwide. We are currently seeking candidates who are up for the challenge of operating in a high-growth, purpose-driven organisation.

Job Description

Position Summary

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. You should be enthusiastic about extracting meaningful patterns from large-scale datasets, creating predictive and analytical models, and proactively managing data infrastructure to ensure accuracy, accessibility, and efficiency.

If you're passionate about uncovering insights from data and contributing significantly to data-driven innovation, we encourage you to join our team.

Job Responsibilities

To perform this job effectively, an individual must be able to perform the following essential functions satisfactorily:

• 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

Qualifications

Qualifications

Minimum Qualifications:

• 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

Preferred Qualifications:

• Understanding of deep learning and LLM algorithms
• Knowledge of probability, Bayesian statistics, and neural networks
• Experience in Cloud technologies such as AWS, Azure, or GCP
• Knowledge of any relational database such as My SQL

Proficiencies & Behaviors

• Clear strategic thinker with proven critical relationship development skills
• Aptitude for complex problem-solving and continuous improvement, with the willingness to work in a rapidly growing matrix organization
• Ability to work well in a team environment, possess an ability to adapt to change in the environment and have a proven track record of exerting influence in a directive and positive manner
• Demonstrated autonomy: the ability to self-start and drive whilst recognizing the appropriate time for collaborator engagement
• Committed to achieving goals, ensuring targets are met within specified timelines and budgets

The typical pay range for this role is:

Minimum: $90,000/Annually

Maximum: $150,000/Annually

Bonus eligible

Additional Information

ABOUT LGC:

LGC is a leading, global life science tools company, providing mission-critical components and solutions into high-growth application areas across the human healthcare and applied market segments. Its high-quality product portfolio is comprised of mission-critical tools for genomic analysis and for quality assurance applications, which are typically embedded and recurring within our customers’ products and workflows and are valued for their performance, quality, and range. 

OUR VALUES

• PASSION
• CURIOSITY 
• INTEGRITY
• BRILLIANCE
• RESPECT

EQUAL OPPORTUNITIES 

LGC strongly believes that every job applicant and employee should be valued for their individual talents regardless of age, disability, race, color, ethnic or national origin, sex, sexual orientation, gender reassignment, marital or civil partnership, pregnancy or maternity, religion, or belief. Short listing, interviewing and selection will always be carried out without regard to gender, sexual orientation, marital status, color, race, nationality, ethnic or national origins, religion or belief, age, or trade union membership.

For more information about LGC, please visit our website www.lgcgroup.com

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