big data" sources to generate actionable insights. Build databases and is responsible for the curation of Data, including experimental data management. Extracting knowledge, insights and predictions from data using statistical methods, machine learning and data visualization. Work with scientists to identify optimal ways to prepare, annotate, store and navigate their datasets, including data application design and improvement. Define and … document best practices for capturing and entering experimental metadata, and educate scientists and collaborators about these standards. Build pipelines for quality control, processing and analysis of raw targeted and un-targeted datasets. Develops and codes software programs and leverages algorithms and methodologies being developed by the scientific community for use cases of relevance to Altos Labs. Stay current with … such as Biology, Chemistry, Computer Science, Physics, etc. Relevant work experience in either an academic or industry setting. Working knowledge of cell biology and experience in large scale data analysis and statistical modeling on datasets like RNA-seq, ATAC-seq, protein network, pathways, etc. Proven track record of completed scientific projects as evidenced by publications and preprints. Strong More ❯
Hemel Hempstead, England, United Kingdom Hybrid / WFH Options
Haven
at Haven, playing a key role in automating and optimising our Holiday pricing system. This is an exciting opportunity for a data-driven professional to shape strategic decisions using statistical modelling, machine learning, and operations research techniques. With a strong emphasis on business impact, you’ll work collaboratively across departments to transform data into clear, actionable insights that power … better outcomes. Your Opportunity: Apply advanced statistical and machine learning methods to complex business problems Build and maintain decision science algorithms to support commercial strategies Deliver compelling insights to stakeholders, clearly communicating technical outputs Ensure data quality and integrity throughout all analysis projects Document processes to ensure replicability and long-term use Provide technical guidance to peers and … of key business KPIs including EBITDA performance Embed data at the heart of decision-making processes across the organisation What We’d Like You to Bring: Strong proficiency in statisticalanalysis, machine learning, and predictive modelling Advanced knowledge of programming tools such as Python, R, and Microsoft SQL Proven ability to translate complex data into meaningful business recommendations More ❯
Sharnbrook, Bedfordshire, United Kingdom Hybrid / WFH Options
Unilever Deutschland Holding GmbH
Job Title: Computational Scientist - Bioinformatics Location: Colworth Science Park JOB PURPOSE As a Bioinformatician at Unilever, you will utilise your scientific expertise in bioinformatics to conduct research and data analysis, advancing our product safety assessment methods. Based in the dynamic environment of our Safety, Environmental & Regulatory Science (SERS) team near Bedford, UK, you will join a team of bioinformaticians … have: A master's or PhD degree in bioinformatics, computational biology, statistics, data science or a related scientific discipline, or equivalent previous experience working in industry Demonstrated understanding of statisticalanalysis and application of mathematical techniques to complex biological data including microbiome data (shotgun, 16S rRNA) and human transcriptomic experiments (RNA-seq) Familiarity with common bioinformatics databases, resources … and tools in the microbiology and human biology areas, as well as experience performing biological network and pathway analysis and data interpretation Strong problem definition, solving and technical expertise with demonstrated programming skills in Python and/or R Problem solving skills in a fast-moving environment, keeping pace with advances in bioinformatics and to enjoy challenging goals High More ❯
Sharnbrook, Bedfordshire, United Kingdom Hybrid / WFH Options
Unilever France
Job Title: Computational Scientist - Bioinformatics Location: Colworth Science Park JOB PURPOSE As a Bioinformatician at Unilever, you will utilise your scientific expertise in bioinformatics to conduct research and data analysis, advancing our product safety assessment methods. Based in the dynamic environment of our Safety, Environmental & Regulatory Science (SERS) team near Bedford, UK, you will join a team of bioinformaticians … have: A master's or PhD degree in bioinformatics, computational biology, statistics, data science or a related scientific discipline, or equivalent previous experience working in industry Demonstrated understanding of statisticalanalysis and application of mathematical techniques to complex biological data including microbiome data (shotgun, 16S rRNA) and human transcriptomic experiments (RNA-seq) Familiarity with common bioinformatics databases, resources … and tools in the microbiology and human biology areas, as well as experience performing biological network and pathway analysis and data interpretation Strong problem definition, solving and technical expertise with demonstrated programming skills in Python and/or R Problem solving skills in a fast-moving environment, keeping pace with advances in bioinformatics and to enjoy challenging goals High More ❯
business problems. Collaborate with cross-functional teams to gather requirements and translate them into technical specifications. Build and maintain production-grade Python applications for machine learning and AI. Apply statisticalanalysis and machine learning techniques to derive insights from large datasets. Develop natural language processing (NLP) models to enhance user experience and automate processes. Utilize Azure DevOps for More ❯
to gather requirements and translate them into actionable technical specifications. Oversee the development and maintenance of production-grade Python applications for machine learning and AI. Drive the application of statisticalanalysis and machine learning techniques to derive insights from large datasets. Guide the development of natural language processing (NLP) models to enhance user experience and automate processes. Utilize More ❯