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Select how often (in days) to receive an alert: Job Description: Group Leader Analytical Development Role: Full-time, permanent Location: Harrow, West London Salary: Competitive + bonus + benefits The Analytical Development Group Leader will be responsible for leading a team of Analytical Scientist and Team Leader. • Lead and support Analytical development group for analytical method development, product characterization, method qualification, method transfer, Biosimilarity/analytical similarity related activities, • Set technical strategy and ensure correct execution for internal projects and external collaborations (CROs /strategic analytical partners). Build 'RFT' (Right First Time) approaches/ culture within the analytical function., • Provide technical oversight during process - troubleshooting, addressing technical and instrumental challenges for smooth analytical operations, • Ensure experimental plans, analysis, and reports are scientifically sound, in line with current regulatory guidance and quality expectations., • Support team with logistics and planning., • Act as the analytical subject matter expert (SME) in cross-functional technical reviews, stage gate reviews, and partner discussions., • Support R&D leadership/scientific project leaders with clear strategy and regular status updates, • Support R&D leadership with analytical group budgetary requirements, • Develop/mentor a high-performing analytical team; foster a culture of scientific excellence, accountability, and continuous improvement., • Identify and implement new technologies (e.g., AAT, automation, digital platforms) to enhance analytical development workflows/ product advanced characterization, • Ensure GLP and EHS regulations are followed., • Propose new ideas/new concepts targeting robust analytical package for various regulatory submissions., • Support authoring and review of CMC sections of regulatory submissions (IND, IMPD, BLA, MAA), particularly Module 3 related to analytical development., • Interface with Regulatory Affairs to respond to regulatory queries and support interactions with EMA, MHRA, and FDA, • PhD or Masters of biological science or analytical chemistry with extensive relevant work experience in biopharma/biotech research labs., • Working experience in Biosimilar development is essential, • Scientific background in Biological product characterization, impurity identification and characterization, • Understanding biologic product characteristics (E.g. monoclonal antibodies, fusion proteins. Therapeutic proteins etc.), • Understanding of modification of biological molecules (PTMs, etc.), • Experience with DOE (Design of Experiment) tools and advanced data analysis packages, • Excellent understanding of analytical testing techniques such as HPLC, CESDS, cIEF, LCMS, CD etc, • Prior experience in analytical similarity/ Biosimilarity assessment In return, we offer a competitive salary and rewards package (including holiday, bonus and pension scheme). Not to mention the opportunity to genuinely make a difference in a new and dynamic role within a progressive and expanding business, at an exciting time of growing international reach. Accord Healthcare Europe is one of the fastest growing pharmaceutical companies in Europe. Accord has one of the largest market footprints of any European generic and biosimilars companies selling generic medicines in over 80 countries around the world. This global footprint enables us to deliver vital, affordable medicines to national health systems supporting healthcare professionals to transform patient lives worldwide. The approach of Accord is agile and inventive, always seeking to improve products and patients' access to them. Accord are driven to think differently and deliver more for the benefit of patients worldwide. To continue our growth, we’re looking for the best and brightest technical minds and forward-thinking business professionals. Keeping our people at the heart of all we do, we offer rewarding opportunities for those looking for continued personal and professional growth, investing in training and development tailored to each individual’s focus. So, if you’re looking for an inclusive company to take your career to the next level, you’re certainly in the right place; come and join us to make it better. All applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or disability. #J-18808-Ljbffr

Join to apply for the Senior Data Scientist role at DiverseJobsMatter Join to apply for the Senior Data Scientist role at DiverseJobsMatter Location: Heathrow Airport (LHR), Hounslow, UK Contract Type: Full-time Overview Our client is seeking a Principal Data Scientist to join their Operations Decision Support (ODS) team. This leadership role combines full-stack data science capabilities with strategic delivery, developing production-ready machine learning and optimisation tools that directly support operational decisions across a major airline environment. Key Responsibilities • Lead the end-to-end development of machine learning and optimisation modules embedded in real-world decision-support software., • Collaborate with software engineers and product teams to operationalise models using modern development practices., • Design and manage data cleaning pipelines and orchestrate workflows (e.g., Dagster) within cloud CI/CD frameworks., • Make critical system and modelling architecture decisions to balance scalability, complexity, and business impact., • Engage with business stakeholders to understand operational problems and integrate data products into workflows., • Conduct exploratory analysis and visualisation to support insight generation and value quantification., • Clearly articulate technical decisions and modelling outcomes to technical and non-technical audiences., • Mentor junior data scientists, promoting technical excellence and agile collaboration. Candidate Profile Required Skills and Experience: • Expert-level fluency in Python, with experience in libraries such as scikit-learn, pandas, numpy, and Gurobi., • Deep understanding of machine learning and operational research techniques (supervised, unsupervised learning, optimisation)., • Proven ability to deploy production-grade solutions with practices such as unit testing, CI/CD (GitHub Actions), containerisation (Docker), and orchestration tools (Airflow, Dagster)., • Skilled in SQL and cloud platforms (AWS preferred), and familiar with tools like DVC, MLflow., • Experience in delivering industrialised data science products at scale., • Strong communication skills with a proven ability to influence across technical and business domains. Qualifications: • Master’s degree (or above) in Data Science, Machine Learning, Operational Research, or a related field., • Minimum 4–6 years’ experience in developing and deploying ML/optimisation products., • Domain experience in transport, operations, or network optimisation is advantageous., • Generous travel benefits, including unlimited standby flights and up to 30 discounted fares annually., • Career progression opportunities within a dynamic and growing technology function., • Supportive culture fostering collaboration, innovation, and development. Inclusion and Diversity Our client values diversity as a driver of innovation and is committed to fostering an inclusive environment. Applications are encouraged from individuals of all backgrounds. Inclusive recruitment practices and employee networks support equal participation across all areas of the business. Application Process Interested candidates are encouraged to apply promptly via the application link in the job posting. The role offers the opportunity to shape the future of data-powered decision-making in the aviation industry. • Mid-Senior level, • Full-time, • Information Technology, Analyst, and Research, • Research Services, Data Infrastructure and Analytics, and Airlines and Aviation Referrals increase your chances of interviewing at DiverseJobsMatter by 2x London, England, United Kingdom 21 hours ago London, England, United Kingdom 2 weeks ago Greater London, England, United Kingdom 3 weeks ago London, England, United Kingdom 2 weeks ago London, England, United Kingdom 4 days ago Greater London, England, United Kingdom 4 days ago London, England, United Kingdom 2 days ago London, England, United Kingdom 1 week ago London, England, United Kingdom 2 weeks ago London, England, United Kingdom 1 week ago London, England, United Kingdom 2 weeks ago London, England, United Kingdom 1 day ago London, England, United Kingdom 2 months ago Greater London, England, United Kingdom 2 days ago London, England, United Kingdom 1 month ago London, England, United Kingdom 2 weeks ago London, England, United Kingdom 1 week ago London, England, United Kingdom 1 week ago London, England, United Kingdom £65,000.00-£75,000.00 1 month ago Reigate, England, United Kingdom 1 week ago London, England, United Kingdom 2 weeks ago London, England, United Kingdom 1 week ago London, England, United Kingdom 4 days ago London, England, United Kingdom 2 weeks ago Surrey, England, United Kingdom 1 week ago London, England, United Kingdom 1 day ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr

At Bristol Myers Squibb, our employees often ask, “Who are you working for?”—a question that fuels collaboration, accountability, and urgency in our work. Our purpose-driven culture inspires us to discover, develop, and deliver innovative medicines to prevail over serious diseases. We offer uniquely interesting and meaningful work, opportunities for growth, and a supportive environment that values inclusion, wellbeing, flexibility, and comprehensive benefits. This is work that transforms the lives of patients, and the careers of those who do it. Are you a hands-on data scientist with a passion for turning complex, multi-modal data into actionable insights that shape clinical decisions? Bristol Myers Squibb is seeking a Senior Manager, Data Science to join our Drug Development Data Science & Advanced Analytics (DSAA) team. This is a new role for a state-of-the-art individual contributor who thrives at the interface of computational science, statistical rigour, and drug development. You will execute and drive exploratory and confirmatory analyses across a rich variety of data types — from clinical trial data to genomics, proteomics, imaging, and beyond — contributing directly to decisions that advance our global development pipeline. • Develop and apply novel computational methods for patient segmentation, biomarker discovery, and hypothesis generation from multimodal clinical and omics datasets, in partnership with Translational, Clinical, and Statistical Scientists, • Execute data science analyses on datasets from BMS clinical trials and real-world data cohorts, spanning genomics, proteomics, imaging, flow cytometry, and other high-dimensional biomarker data types, • Develop innovative approaches to integrating, mining, and visualising diverse, high-dimensional, and disparate datasets generated across early-to-late phase drug development, • Formulate, implement, test, and validate predictive models and build efficient, automated processes for delivering modelling results at scale, • Apply modern machine learning capabilities — including AI/ML, deep learning, NLP, causal ML, and explainable AI — across multiple data modalities and clinical development contexts, • Apply statistically rigorous approaches to clinical trial data, including survival analysis, longitudinal/mixed-effects modelling, and appropriate handling of missing data and censoring, • Contribute to the scientific and statistical strategy of drug development programs, including the development of predictive biomarkers, novel trial designs, and precision medicine approaches, • Build and maintain well-structured, reproducible, version-controlled analytical pipelines and codebases using Python, R, SQL, and cloud platforms, • Develop and apply data quality frameworks to assess and ensure fitness-for-purpose of diverse data sources for specific analytical questions, • Implement strong model evaluation practices including cross-validation strategies, calibration assessment, and transparent reporting of model performance and limitations, • Build scalable, automated processes for delivering analytical results across multiple programs and data types, • Partner with lead and protocol statisticians in contributing to statistical analysis plans (SAPs) for exploratory data science analyses supporting drug development programs, • Collaborate with cross-functional teams including clinicians, translational medicine scientists, biostatisticians, data engineers, and IT/engineering professionals, • Contribute to team excellence through code reviews, technical mentorship, and raising the overall engineering and methodological standards of the team, • Communicate analytical strategies and results clearly and effectively to both technical and non-technical stakeholders, with strong data presentation and visualisation skills, • Manage and coordinate deliverables across concurrent, fast‑paced projects within tight timelines, • PhD in a relevant quantitative field (e.g., Computational Biology, Biostatistics, Statistics, Biomedical Engineering, or Computer Science) with 1+ years of academic/industry experience; or a Master’s Degree in a relevant quantitative field with 3+ years of industry experience, • Strong experience in data science and statistical analysis using clinical trial or electronic health records data, particularly in a pharma R&D context, • Experience developing and validating statistical and machine learning models on high-dimensional data for time-to-event, longitudinal, and multivariate outcomes, • Experience in the application of AI/ML and proficiency in Python, R, SQL, and cloud platforms (e.g., AWS, Azure, Databricks), • Familiarity with clinical trial design, drug development processes, and the role of biomarkers in regulatory and clinical decision-making, • A perspective on leveraging innovative approaches to expedite drug development and address the complexities of emerging data types, • Strong problem-solving, collaboration, and communication skills, with the ability to handle several concurrent, fast‑paced projects independently and as part of a team, • Experience with genomics, proteomics, imaging, flow cytometry, or immunobiology datasets from clinical trials, • Experience with NLP, causal ML, explainable AI, and survival analysis/time-to-event modelling, • Knowledge of molecular biology and understanding of disease pathways, • Experience with real‑world data (RWD/RWE) sources and associated analytical methods, • Familiarity with digital health data and wearable/sensor‑derived data types, • Experience with cloud‑based scalable compute and deployment patterns for large-scale data processing and model training Where you work matters – because collaboration, innovation and patient impact happen in many settings. Our roles are structured across four work models site-essential, site-by-design, field-based and remote-by-design. The model assigned to this role is based on its core responsibilities. Learn more at ways-of-working. BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to . Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement. Bristol Myers Squibb is Disability Confident – Employer A UK Government scheme BMS will consider qualified applicants with arrest and conviction records, pursuant to applicable laws in your area. For roles based in Los Angeles County only If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information california-residents/. We will never request payments, financial information, or social security numbers during our application or recruitment process. Learn more about protecting yourself at fraud-protection. Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations. If this posting is missing required information required by local law or incorrect, contact BMS at with the Job Title and Requisition number. Do not send application-related inquiries to this email. To check your application status, please login to your Candidate Home Account. R1600844 Senior Manager, Data Sciences #J-18808-Ljbffr

At Bristol Myers Squibb, our employees often ask, "Who are you working for?"-a question that fuels collaboration, accountability, and urgency in our work. Our purpose-driven culture inspires us to discover, develop, and deliver innovative medicines to prevail over serious diseases. We offer uniquely interesting and meaningful work, opportunities for growth, and a supportive environment that values inclusion, wellbeing, flexibility, and comprehensive benefits. This is work that transforms the lives of patients, and the careers of those who do it. Drive Insight at the Cutting Edge of Drug Development Are you a hands-on data scientist with a passion for turning complex, multi-modal data into actionable insights that shape clinical decisions? Bristol Myers Squibb is seeking a Senior Manager, Data Science to join our Drug Development Data Science & Advanced Analytics (DSAA) team. This is a new role for a state-of-the-art individual contributor who thrives at the interface of computational science, statistical rigour, and drug development. You will execute and drive exploratory and confirmatory analyses across a rich variety of data types - from clinical trial data to genomics, proteomics, imaging, and beyond - contributing directly to decisions that advance our global development pipeline. • Develop and apply novel computational methods for patient segmentation, biomarker discovery, and hypothesis generation from multimodal clinical and omics datasets, in partnership with Translational, Clinical, and Statistical Scientists, • Execute data science analyses on datasets from BMS clinical trials and real-world data cohorts, spanning genomics, proteomics, imaging, flow cytometry, and other high-dimensional biomarker data types, • Develop innovative approaches to integrating, mining, and visualising diverse, high-dimensional, and disparate datasets generated across early-to-late phase drug development, • Formulate, implement, test, and validate predictive models and build efficient, automated processes for delivering modelling results at scale, • Apply modern machine learning capabilities - including AI/ML, deep learning, NLP, causal ML, and explainable AI - across multiple data modalities and clinical development contexts, • Apply statistically rigorous approaches to clinical trial data, including survival analysis, longitudinal/mixed-effects modelling, and appropriate handling of missing data and censoring, • Contribute to the scientific and statistical strategy of drug development programs, including the development of predictive biomarkers, novel trial designs, and precision medicine approaches, • Build and maintain well-structured, reproducible, version-controlled analytical pipelines and codebases using Python, R, SQL, and cloud platforms, • Develop and apply data quality frameworks to assess and ensure fitness-for-purpose of diverse data sources for specific analytical questions, • Implement strong model evaluation practices including cross-validation strategies, calibration assessment, and transparent reporting of model performance and limitations, • Build scalable, automated processes for delivering analytical results across multiple programs and data types, • Partner with lead and protocol statisticians in contributing to statistical analysis plans (SAPs) for exploratory data science analyses supporting drug development programs, • Collaborate with cross-functional teams including clinicians, translational medicine scientists, biostatisticians, data engineers, and IT/engineering professionals, • Contribute to team excellence through code reviews, technical mentorship, and raising the overall engineering and methodological standards of the team, • Communicate analytical strategies and results clearly and effectively to both technical and non-technical stakeholders, with strong data presentation and visualisation skills, • Manage and coordinate deliverables across concurrent, fast-paced projects within tight timelines, • PhD in a relevant quantitative field (e.g., Computational Biology, Biostatistics, Statistics, Biomedical Engineering, or Computer Science) with 1+ years of academic/industry experience; or a Master's Degree in a relevant quantitative field with 3+ years of industry experience, • Strong experience in data science and statistical analysis using clinical trial or electronic health records data, particularly in a pharma R&D context, • Experience developing and validating statistical and machine learning models on high-dimensional data for time-to-event, longitudinal, and multivariate outcomes, • Experience in the application of AI/ML and proficiency in Python, R, SQL, and cloud platforms (e.g., AWS, Azure, Databricks), • Familiarity with clinical trial design, drug development processes, and the role of biomarkers in regulatory and clinical decision-making, • A perspective on leveraging innovative approaches to expedite drug development and address the complexities of emerging data types, • Strong problem-solving, collaboration, and communication skills, with the ability to handle several concurrent, fast-paced projects independently and as part of a team, • Experience with genomics, proteomics, imaging, flow cytometry, or immunobiology datasets from clinical trials, • Experience with NLP, causal ML, explainable AI, and survival analysis/time-to-event modelling, • Knowledge of molecular biology and understanding of disease pathways, • Experience with real-world data (RWD/RWE) sources and associated analytical methods, • Familiarity with digital health data and wearable/sensor-derived data types, • Experience with cloud-based scalable compute and deployment patterns for large-scale data processing and model training #LI-Hybrid We hire for skills and capabilities, not just credentials. Where you work matters – because collaboration, innovation and patient impact happen in many settings. Our roles are structured across four work models: site-essential, site-by-design, field-based and remote-by-design. The model assigned to this role is based on its core responsibilities. Learn more at ways-of-working. BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to . Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement. Bristol Myers Squibb is Disability Confident – Employer A UK Government scheme Candidate Rights BMS will consider qualified applicants with arrest and conviction records, pursuant to applicable laws in your area. For roles based in Los Angeles County only: If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: california-residents/ We will never request payments, financial information, or social security numbers during our application or recruitment process. Learn more about protecting yourself at fraud-protection. Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations. R1600844 : Senior Manager, Data Sciences Data Privacy Link We’re creating innovative medicines for patients fighting serious diseases. We’re also nurturing our own diverse team with inspiring work and challenging career options. No matter the role, each one of us makes a contribution. And that makes all the difference. #J-18808-Ljbffr

Headquartered in Singapore, SATS Ltd. is one of the world’s largest providers of air cargo handling services and Asia’s leading airline caterer. SATS Gateway Services provides airfreight and ground handling services including passenger services, ramp and baggage handling, aviation security services, aircraft cleaning and aviation laundry. SATS Food Solutions serves airlines, institutions, and operates central kitchens with large-scale food production and distribution capabilities for a wide range of cuisines. SATS is present in the Asia-Pacific, the Americas, Europe, the Middle East and Africa, powering an interconnected world of trade, travel and taste. Following the acquisition of Worldwide Flight Services (WFS) in 2023, the combined SATS and WFS network operates over 215 stations in 27 countries. These cover trade routes responsible for more than 50% of global air cargo volume. SATS has been listed on the Singapore Exchange since May 2000. For more information, please visit www.sats.com.sg SATS Ltd Headquartered in Singapore, SATS Ltd. is one of the world’s largest providers of air cargo handling services and Asia’s leading airline caterer. SATS Gateway Services provides airfreight and ground handling services including passenger services, ramp and baggage handling, aviation security services, aircraft cleaning and aviation laundry. SATS Food Solutions serves airlines, institutions, and operates central kitchens with large-scale food production and distribution capabilities for a wide range of cuisines. SATS is present in the Asia-Pacific, the Americas, Europe, the Middle East and Africa, powering an interconnected world of trade, travel and taste. Following the acquisition of Worldwide Flight Services (WFS) in 2023, the combined SATS and WFS network operates over 215 stations in 27 countries. These cover trade routes responsible for more than 50% of global air cargo volume. SATS has been listed on the Singapore Exchange since May 2000. For more information, please visit www.sats.com.sg SATS is investing in a small number of high-impact AI and data products intended to operate across its global station network. Each requires a single accountable owner who can hold the technical architecture and the product direction together, from first implementation through multi-station scale. We are looking for a Lead, AI & Data Products to take that ownership. This is a senior individual contributor role for an engineer or applied scientist who has moved into product leadership, not a product manager with adjacent technical exposure. You will be expected to reason about model design, data architecture and production trade-offs at the level of the engineers building the system, and to hold the roadmap, business case and stakeholder relationships at the level of the executives funding it. The role operates horizontally. You will act as the single-threaded owner for assigned initiatives, working with the AI Centre of Excellence on patterns and feasibility, with Data Engineering and Platform on the data foundation, with Operational Excellence and the business product owners on process change, and with the forward deployed engineers in region on station rollout. This is a hands-on role. You will review and contribute to code, make architectural calls, and spend meaningful time at the frontline understanding operations directly rather than through documentation. • Own the product end to end for assigned AI and data initiatives: discovery, technical architecture, roadmap, delivery sequencing and global rollout readiness., • Act as single-threaded owner. One person accountable for whether the product works, is adopted, and delivers its business case across stations and regions., • Convert programs into products. Move initiatives currently run as projects onto a product footing with a roadmap, a lifecycle, named users and a benefit measure., • Make the build decisions: in-house, CoE pattern, capability center, or vendor. Own the trade-off and the consequences., • Set the architecture for AI and data products spanning forecasting, optimization, simulation, GenAI and agentic workflows, and defend it in technical review., • Work in the codebase. Review designs and pull requests, prototype where it resolves ambiguity faster than discussion, and contribute directly when delivery depends on it., • Own production quality: model robustness, explainability, evaluation, monitoring, latency and cost in service, not only at launch., • Build on the platform. Consume governed data through the semantic layer and apply CoE guardrails rather than constructing parallel capability., • Translate operational problems into technical solutions and, equally, translate technical constraints into terms operations and commercial leadership can act on., • Own the business case with the business product owner: the benefit hypothesis, the measurement approach and the reported outcome., • Lead without direct authority across engineering, data science, operations and regional teams, including delivery through the capability center and vendor partners., • Work from the frontline. Regular Gemba at stations, with operational understanding built first-hand. Products in service Assigned initiatives live and running at multiple stations, not piloted Adoption Sustained use by the operational teams and customers the product serves Benefit realized Measured movement against the business case, evidenced not asserted Technical credibility Recognized as a technical authority by CoE, platform and regional engineers Scale readiness Architecture and roadmap that make each additional station cheaper than the last • 10+ years in engineering, applied AI or data science, with a substantial portion spent building and running systems in production rather than specifying them., • Demonstrable record of owning technical products end to end and scaling them beyond a first implementation into multi‑site or multi‑market operation., • Depth in one or more of: forecasting (time series, probabilistic, hierarchical), optimization (MIP, LP, heuristics), simulation, or production GenAI and agentic systems, with working literacy across the others., • Strong Python and SQL, with practical command of the modern data and ML stack: cloud data platforms, pipelines, model deployment, evaluation and monitoring., • Experience influencing senior stakeholders and operating across engineering, operations and commercial functions without direct reporting lines., • Aviation, logistics or complex physical operations exposure is an advantage, not a prerequisite., • Bachelor's, MSc or PhD in Computer Science, Engineering, Data Science, Mathematics, Operations Research or a related field., • Technical credibility earned through building, not through managing builders., • Judgement on trade-offs between scope, speed and quality, with the confidence to decide under incomplete information., • Clear communication with engineers, operators and executives, adjusting register without losing precision., • Comfort with ambiguity and being accountable for outcomes rather than activity. The role is global. Regular travel to stations, to the Singapore and India hubs, and to the EMEA and Americas regions is expected. Approximately 30 to 40% travel. Safety is ingrained in our DNA. Customer Focus, every smile is a win. Respect, we listen, understand and respect. Excellence isn't just a goal, it's the SATS way. Teamwork, we don't just collaborate, we amplify each other's strengths. #J-18808-Ljbffr

The Analytical Development Group Leader will be responsible for leading a team of Analytical Scientist and Team Leader within a Biosimilars environment. • Lead and support Analytical development group for analytical method development, product characterization, method qualification, method transfer, Biosimilarity / analytical similarity related activities, • Set technical strategy and ensure correct execution for internal projects and external collaborations (CROs /strategic analytical partners). Build ‘RFT’ (Right First Time) approaches/ culture within the analytical function., • Provide technical oversight during process - troubleshooting, addressing technical and instrumental challenges for smooth analytical operations, • Ensure experimental plans, analysis, and reports are scientifically sound, in line with current regulatory guidance and quality expectations., • Support team with logistics and planning., • Act as the analytical subject matter expert (SME) in cross-functional technical reviews, stage gate reviews, and partner discussions., • Support R&D leadership/scientific project leaders with clear strategy and regular status updates, • Support R&D leadership with analytical group budgetary requirements, • Develop/mentor a high-performing analytical team; foster a culture of scientific excellence, accountability, and continuous improvement., • Identify and implement new technologies (e.g., AAT, automation, digital platforms) to enhance analytical development workflows/ product advanced characterization, • Ensure GLP and EHS regulations are followed., • Propose new ideas/new concepts targeting robust analytical package for various regulatory submissions., • Support authoring and review of CMC sections of regulatory submissions (IND, IMPD, BLA, MAA), particularly Module 3 related to analytical development., • Interface with Regulatory Affairs to respond to regulatory queries and support interactions with EMA, MHRA, and FDA, • PhD or Masters of biological science or analytical chemistry with extensive relevant work experience in biopharma/biotech research labs., • Working experience in Biosimilar development is essential, • Scientific background in Biological product characterization, impurity identification and characterization, • Understanding biologic product characteristics (E.g. monoclonal antibodies, fusion proteins. Therapeutic proteins etc.), • Understanding of modification of biological molecules (PTMs, etc.), • Experience with DOE (Design of Experiment) tools and advanced data analysis packages, • Excellent understanding of analytical testing techniques such as HPLC, CESDS, cIEF, LCMS, CD etc, • Prior experience in Analytical Similarity / Biosimilarity assessment In return, we offer a competitive salary and rewards package (including holiday, bonus and pension scheme). Not to mention the opportunity to genuinely make a difference in a new and dynamic role within a progressive and expanding business, at an exciting time of growing international reach. #J-18808-Ljbffr

AI Trainee Engineer – £45,000–£75,000 – Job Programme.This is a self-funded programme that leads to employment, fees apply.Complete the programme and get a job, or get your course fees back.Looking to start a career in AI Engineering?.We are offering a structured pathway into AI Engineering,

Are you a hands-on data scientist with a passion for turning complex, multi-modal data into actionable insights that shape clinical decisions? Bristol Myers Squibb is seeking a Senior Manager, Data Science to join our Drug Development Data Science & Advanced Analytics (DSAA) team. Partner with lead

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AI Trainee Engineer – £45,000–£75,000 – Job Programme.This is a self-funded programme that leads to employment, fees apply.Complete the programme and get a job, or get your course fees back.Looking to start a career in AI Engineering?.We are offering a structured pathway into AI Engi

Trainee AI Engineer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today.Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience require

AI Trainee Engineer – £45,000–£75,000 – Job Programme.This is a self-funded programme that leads to employment, fees apply.Complete the programme and get a job, or get your course fees back.Looking to start a career in AI Engineering?.We are offering a structured pathway into AI Engi

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Alongside hands‑on work, you will shape analytical methodology, mentor other data scientists and help our most valuable models move from experiment into decisions that change what the business does. Mentor data scientists and provide technical leadership across the team. Experience providing techn

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Faculty is seeking a Lead Data Scientist to steer upstream AI safety research, design novel experiment frameworks, and mentor technical teams working with Frontier Labs.

The business is investing heavily in marketing growth and is looking for a Senior Data Scientist to ensure investment decisions are evidence-based, measurable, and commercially effective. As a Senior Data Scientist specialising in Marketing Analytics and Measurement, you will work closely with senio

At Metica, we let game studios focus on making great games – while we take care of growing them.We're an AI-native growth partner for mobile games studios, unifying user acquisition and in-game monetisation so games grow without studios having to build that expertise in-house.We're built by founde

This is an exciting opportunity for a Data Scientist to join a growing organisation investing heavily in data, analytics, machine learning, and AI.

Data Scientist in Kingston Upon Thames to build models and analyses that support engineering risk assessments and decisions. The Data Scientist will collect, clean, and analyse data to support risk assessments, develop predictive analytics, and translate insights into clear recommendations for consu