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Senior Clinical Statistical Programmer (Portfolio Development / Biometrics / Programming) The Role CSL is looking for a Senior Programmer to take technical ownership of one or two clinical trials from first line of code to final submission package. This is a hands-on statistical programming role with real authority attached to it: you'll be the person a study team turns to when the data needs to hold up under regulatory scrutiny, and the person who decides how a dataset gets built, not just who builds it. You'll work alongside statisticians, data managers, medical writers and regulatory colleagues as a peer, not a downstream resource — reading protocols and SAPs early enough to shape how a study's analysis gets structured, then seeing that structure through to submission-ready SDTM and ADaM datasets, TFLs, and supporting documentation. Hybrid Based (3 days a week onsite) in Maidenhead Why It Matters Clinical data is only as useful as the programming behind it is trustworthy. Every regulatory decision downstream — every safety signal caught or missed, every submission accepted or queried — traces back to whether the datasets and outputs were built right the first time. This role sits at that pressure point. You're not just executing specifications; you're often the one writing them, catching the ambiguity in a protocol before it becomes a data problem three months later, and making the judgment calls that keep a study's analysis both scientifically sound and audit-ready. What You'll Be Responsible For You'll lead end-to-end programming for your assigned studies — in-house or outsourced — spanning the full clinical development lifecycle from study setup through analysis, reporting, and regulatory submission. That means building and validating datasets and outputs yourself where the work is done internally, and holding CRO-delivered work to the same bar where it isn't. You'll also be a technical reference point for less experienced programmers, and a contributor to how the wider programming function does its work. · Serve as lead programmer for one or two clinical trials, interpreting protocols, SAPs, data management plans, and CRF specifications to drive study setup and analysis · Design and validate SDTM and ADaM datasets, tables, figures, and listings, in partnership with study statisticians · Review and take ownership of CRO-produced deliverables, ensuring submission-ready quality before they go further · Lead specification and delivery of integrated analyses (e.g. ISS/ISE) and associated outputs when not handled by a CRO · Mentor other programmers on internal processes and standards, and contribute to departmental tools and process improvements · Take on ad hoc analytical work — regulatory query responses, exploratory analyses, publication support — as studies require it Experience Required · Experience of programming in pharmaceutical, biotech, CRO, or clinical research settings · Strong SAS proficiency (Base/Macro/Stat/Graph); familiarity with R or other languages is a plus · Working knowledge of current CDISC standards — CDASH, SDTM, ADaM, define.xml · Track record of producing and validating submission-ready TFLs and datasets, including ad hoc analytical requests · Experience supporting regulatory submissions (FDA required; PMDA, NMPA, or EMA experience a plus) · Comfort working with external vendors and CRO-managed data · BSc in Computer Science, Mathematics, Statistics or a related field — equivalent experience and certifications will also be considered

Associate Director, Patient Engagement Lead "Nothing About Us Without Us" At CSL, we believe that patients are more than participants in clinical research. They are partners in the development of life-changing therapies. Our Patient Engagement team is dedicated to ensuring that the patient voice is embedded throughout the drug development journey, helping us design clinical programs that are more meaningful, accessible, and responsive to the needs of those we serve. As a Patient Engagement Lead, you will have the unique opportunity to influence the future of clinical development by bringing patient perspectives directly into decision-making. Working across global, cross-functional teams, you will gather and translate patient insights into actionable recommendations that shape clinical development plans, protocol design, and participant experiences. You will partner closely with patient organizations, advocacy groups, patients, caregivers, and internal stakeholders to conduct advisory boards and other engagement activities that inform study design and patient-facing materials. Your work will help ensure that clinical trials are designed with patients, not just for patients. Hybrid based (3 days a week office) in Maidenhead (UK) What You'll Be Responsible For You will act as an advisor to study teams, turning insight from patients, caregivers, advocacy groups and sites into practical decisions on protocol design, recruitment and retention. You will also represent CSL externally and use data to show what is working and what needs to change. • Build and maintain relationships with patient advocacy groups, caregivers and trial participants, and use what you learn to inform protocol design and trial communications, • Advise study teams on patient needs, site expectations and regional healthcare dynamics, • Lead initiatives that build patient engagement into trial planning, recruitment and retention strategies, • Develop and implement site engagement strategies with Site Engagement Leads, aimed at long-term partnerships with trial sites and healthcare institutions, • Represent CSL in external forums, making the case for patient- and site-centric clinical research, and align engagement work with Medical Affairs and external partners Experience Required • Significant relevant clinical research experience in the pharmaceutical industry, • Direct experience in site and patient engagement, • Thorough understanding of drug development and every stage of a clinical trial, from protocol development to clinical study report, and how each stage affects patients and sites, • Extensive knowledge of ICH guidelines and GCP, and the ability to review and assess clinical data and complex scientific concepts, • Proven ability to influence and resolve conflict in a matrix environment, and to mentor and coach peers, • Strong project management skills across multiple concurrent programmes, with sound judgement in dealings with external parties Travel: Some travel is expected, including attendance at external forums and meetings with patient groups and sites.

Principal Clinical Scientist (Senior Clinical Scientist level also considered) The Role We're looking for a clinical scientist — someone who has been the scientific lead for clinical studies before, from protocol development to start-up (development of critical study documents) through to study execution, data analysis and interpretation and close-out with a clinical study report. Having prepared regulatory submissions of study results is a pre. You'll work in close partnership with the clinical operations team and CROs under the team's full-outsource operating model, managing that day-to-day relationship rather than delivering trial activity in-house. It's one of two newly approved roles, created ahead of anticipated demand rather than to backfill a departure, which means there's genuine room to help shape how the team works rather than simply joining an existing structure. Hybrid based (3 days a week onsite) in Maidenhead (UK), Melbourne (Aus) or Zurich (CH) Why It Matters A clinical study is only as good as the people running it. A weak protocol, poorly managed start-up, or a fumbled relationship with the CRO delivering the trial can cost a program months — sometimes far more — and that delay sits between a therapy and the patients waiting on it. This role exists because CSL is adding capacity to get that execution right: someone who can lead all scientific needs of a study properly, and co-own the end to end alongside clinical operations, is what actually moves a clinical development plan forward. It's not a supporting or administrative function — it's the core that determines whether the science translates into a trial that runs cleanly and data that holds up. What You'll Be Responsible For You'll take ownership of clinical studies end-to-end, acting as the scientific and operational anchor between the program team and outsourced delivery partners. • Lead all scientific elements of clinical studies from protocol development through study execution to a final clinical study report, • Write and/or take responsibility for study protocols, clinical study reports and other critical study documents, • Manage, alongside the clinical operations lead, day-to-day working relationships with CROs under a full-outsource operating model, • Collaborate closely with the cross-functional study teams — this is a collaborative role, not an isolated one one, • Contribute to the scientific interpretation of clinical data and supporting documentation, • Build working relationships across the wider team, including colleagues based in the US and Australia Experience Required • Demonstrated, hands-on experience with clinical studies (protocol development, execution, close-out) — not solely oversight or academic exposure, • Experience writing clinical study protocols and clinical study reports directly, • Experience working within a full-outsource / CRO-dependent operating model, • A collaborative, cross-functional working style — comfortable building relationships rather than working independently

Principal Clinical Scientist \n (Senior Clinical Scientist level also considered) \n The Role \n We're looking for a clinical scientist — someone who has been the scientific lead for clinical studies before, from protocol development to start-up (development of critical study documents) through to study execution, data analysis and interpretation and close-out with a clinical study report. Having prepared reg... \n \n ZIPC1_UKTJ

As an experienced Senior RWE Biostatistician within our Consulting business, you will play a pivotal role in delivering complex Real-World Evidence (RWE), non-interventional, and low-interventional research studies for leading global pharmaceutical and biotechnology companies. Working as a trusted client-facing consultant, you will help design innovative evidence-generation strategies, lead statistical analyses, and provide scientific expertise that supports regulatory, payer, and health technology assessment (HTA) decision-making.In this role, you will apply advanced biostatistical methodologies to real-world data sources including claims databases, electronic health records (EHR), registries, and linked data assets. You will contribute to the design, execution, and interpretation of high-impact studies while supporting business development activities, scientific publications, and internal innovation initiatives.Your expertise will directly contribute to generating evidence that shapes healthcare decisions and improves patient outcomes worldwide. Join Fortrea and discover why more than 90% of the top 20 global pharmaceutical companies are repeat customers.What else can you expect from us?Rewarding and meaningful work in an established, diverse, highly profitable and respected global companyHighly competitive compensation packages, including various local benefits such as pension contributions, complimentary health insurance plans, remote working allowances, and moreA genuine work-life balanceFlexibility in working hoursA thorough onboarding program with support from your personal mentorA permanent employment contract with FortreaExcellent training and career development opportunities, as well as support for continuing educationStrong support from your Fortrea Line Manager, your team, and thousands of colleagues worldwideYour responsibilitiesLead the design, analysis, and interpretation of non-interventional and RWE studies utilizing claims, EHR, registry, and other real-world data sourcesApply advanced causal inference and confounding-control methodologies including propensity score matching and weighting, inverse probability weighting, instrumental variable methods, marginal structural models, and difference-in-differences approachesDesign and support innovative evidence-generation strategies, including target trial emulation, external control arms, and synthetic control methodologiesDevelop and review Statistical Analysis Plans (SAPs), statistical sections of protocols, estimands, and study design documentationEnsure alignment of study methodologies and outputs with applicable regulatory guidance and RWE frameworks, including FDA and EMA expectationsPerform statistical quality control and promote analytic reproducibility and transparency across client engagementsDeliver strategic, scientific, and methodological expertise to clients and project teamsManage project teams responsible for statistical deliverables while providing guidance, oversight, and mentorshipSupport proposal development, budgeting, bid defenses, capability presentations, and other business development activitiesContribute to internal innovation initiatives, methodological best practices, scientific publications, and conference presentationsMentor and develop junior statisticians and analysts through coaching, training, and performance feedbackAct as a subject matter expert for RWE methodologies and statistical best practices across the organizationYour profileAdvanced degree in a relevant discipline such as Biostatistics, Statistics, Epidemiology, Health Economics, Data Science, Economics, Pharmacy, or a related field (Doctoral degree preferred)Minimum of 6 years of biostatistics experience with a Master's degree, including non-interventional/RWE research experience, or at least 4 years with a doctoral degreeProven experience leading statistical activities and delivering client-facing projects within a CRO, pharmaceutical, biotechnology, healthcare, or consulting environmentDemonstrated expertise in applying biostatistical methods to RWE, epidemiology, and HEOR studiesExperience utilizing real-world data sources such as claims databases, EHRs, registries, and OMOP or similar data modelsStrong understanding of causal inference, comparative effectiveness research, and bias-adjustment methodologiesExperience developing SAPs, contributing to protocol design, statistical analysis, and reportingProgramming proficiency in SAS and R (Python experience is considered an advantage)Knowledge of regulatory expectations and industry standards for RWE generation and evidence submissionsExperience managing statisticians, analysts, or project teams and mentoring less experienced team membersStrong client engagement, communication, presentation, and stakeholder management skillsExcellent problem-solving ability, scientific curiosity, and attention to detailBusiness fluency in English, both verbal and writtenFortrea is actively seeking motivated problem-solvers and creative thinkers who share our passion for overcoming barriers in clinical trials. Our unwavering commitment is to revolutionize the development process, ensuring the swift delivery of life-changing ideas and therapies to patients in need. Join our exceptional team and embrace a collaborative workspace where personal growth is nurtured, enabling you to make a meaningful global impact. For more information about Fortrea, visit www.fortrea.com .Learn more about our EEO & Accommodations request here . #J-18808-Ljbffr

HCLTech is a global technology company, home to 219,000+ people across 54 countries, delivering industry-leading capabilities centered on digital, engineering and cloud, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of $13+ billion. For more information on how we process your personal data, please refer to HCLTech’ s Candidate Data Privacy Notice. As an Agentic Forward Deployed Engineer, you operate at the front line of delivery - embedded with the client, turning ambiguous business problems into production agents, fast. Your deliverable is Business Transformation Agents: autonomous and multi-agent systems that automate and reimagine real business processes such as invoice disputes, procurement approvals, onboarding, claims and compliance workflows. You own each agent end to end -conceptualize, build, integrate, evaluate, deploy, and sustain - and you lead a small team to do the same. You build exclusively in Python using agent development kits, and you bring Agentic AI capabilities to life inside the client's world, with Responsible AI, evaluation and security as non-negotiables. Language: Python preferable Frameworks: Agent Development Kits (ADKs) ; e.g. Google ADK, LangGraph, CrewAI, OpenAI Agents SDK, AWS Bedrock AgentCore, Microsoft Agent Framework / Semantic Kernel. Framework choice follows the engagement; the discipline is the same. Models: Multi-LLM via the kit (e.g. Claude on Bedrock, Gemini, Azure OpenAI), selected per use case for quality, latency and cost. Interfaces: Tools and Model Context Protocol (MCP) for integration; standards-based APIs and secure auth for client systems. • Conceptualize fast: embed with stakeholders, frame a business process as an agentic solution, and stand up a working agent prototype in days, not weeks., • Build Business Transformation Agents: design and ship single-agent and multi-agent systems in Python using ADKs that automate and transform real client workflows, with measurable ROI., • Own efficiency as the scorecard: drive delivery efficiency and operational efficiency ; shorter cycle times, less manual effort, higher accuracy, lower cost-to-serve., • Engineer the agent core: apply prompt engineering, context engineering, prompt caching, RAG / context-graph retrieval, memory, tool / function calling, MCP integration and multi-agent orchestration., • Integrate to standards: connect agents into client ecosystems through proven integration patterns, standards-based APIs and secure authentication., • Make reusability and predictability the default: build reusable agent components, skills, tool libraries and templates; add guardrails so agent behaviour is predictable, safe and repeatable., • Prototype and iterate quickly: use the kit's scaffolding to prototype, then harden to production-grade, well-tested Python., • Run eval-driven development: build evaluation harnesses and test suites that measure agent correctness, safety and regression before anything ships., • Own AgentOps / DevSecOps: CI/CD for agents, versioning, observability and telemetry, shift-left security, and Responsible AI governance baked in from day one., • Run a continuous, adaptable feedback loop: feed production telemetry, evals and client feedback back into prompts, context and agent design., • Stay ahead of the curve: adopt evolving agent frameworks and patterns quickly, and bring field learnings back to the practice., • Lead and mentor: set technical direction for a lean team of 3 agent engineers, raise the engineering bar, and grow the pod's agentic capability., • Strong Python engineering ; idiomatic, typed, tested and packaged code; on a foundation of solid software engineering principles (design, version control, architecture)., • Hands-on agent building with at least one agent development kit (Google ADK, LangGraph, CrewAI, OpenAI Agents SDK, AWS Bedrock AgentCore or Microsoft Agent Framework / Semantic Kernel)., • Solid command of agent engineering: prompt engineering, context engineering, prompt caching, RAG / context graphs, tool / function calling, MCP, and multi-agent orchestration., • Eval-driven development: designing evaluation harnesses and measuring agent quality, safety and reliability., • Standards-based integration and DevSecOps: APIs, secure auth, CI/CD, observability and AgentOps., • Ability to conceptualize a business problem as an agent quickly, and operate effectively in ambiguous, customer-embedded settings., • Client-facing maturity: translates fluidly between technical and non-technical stakeholders, and owns outcomes., • Experience mentoring or leading small engineering teams., • Fluency across multiple ADKs and the judgment to pick the right one per engagement., • Deploying agents to managed runtimes at enterprise scale (e.g. Vertex AI Agent Engine, Bedrock AgentCore) with governance and cost control., • Domain depth in a transformation area - finance operations, supply chain, HR, claims or compliance., • Experience with an enterprise agent platform, including Responsible AI and governance at scale., • A track record of turning agents into reusable accelerators or IP adopted beyond a single engagement. #J-18808-Ljbffr

Using Unified Vendor Portal (UVP) to manage vendor service delivery. Reviewing of the vendor and category related specific sections of the protocol, ensure vendor expertise is leveraged when refining specifications towards Final Protocol. Vendor service excellence at study level, ensures vendors mee

As an experienced Senior RWE Biostatistician within our Consulting business, you will play a pivotal role in delivering complex Real-World Evidence (RWE), non-interventional, and low-interventional research studies for leading global pharmaceutical and biotechnology companies. Working as a trusted client-facing consultant, you will help design innovative evidence-generation strategies, lead statistical analyses, and provide scientific expertise that supports regulatory, payer, and health technology assessment (HTA) decision-making. In this role, you will apply advanced biostatistical methodologies to real-world data sources including claims databases, electronic health records (EHR), registries, and linked data assets. You will contribute to the design, execution, and interpretation of high-impact studies while supporting business development activities, scientific publications, and internal innovation initiatives. Your expertise will directly contribute to generating evidence that shapes healthcare decisions and improves patient outcomes worldwide. Join Fortrea and discover why more than 90% of the top 20 global pharmaceutical companies are repeat customers. • Highly competitive compensation packages, including various local benefits such as pension contributions, complimentary health insurance plans, remote working allowances, and more, • A genuine work-life balance, • Flexibility in working hours, • A thorough onboarding program with support from your personal mentor, • A permanent employment contract with Fortrea, • Excellent training and career development opportunities, as well as support for continuing education, • Strong support from your Fortrea Line Manager, your team, and thousands of colleagues worldwide, • Lead the design, analysis, and interpretation of non-interventional and RWE studies utilizing claims, EHR, registry, and other real-world data sources, • Apply advanced causal inference and confounding-control methodologies including propensity score matching and weighting, inverse probability weighting, instrumental variable methods, marginal structural models, and difference-in-differences approaches, • Design and support innovative evidence-generation strategies, including target trial emulation, external control arms, and synthetic control methodologies, • Develop and review Statistical Analysis Plans (SAPs), statistical sections of protocols, estimands, and study design documentation, • Ensure alignment of study methodologies and outputs with applicable regulatory guidance and RWE frameworks, including FDA and EMA expectations, • Perform statistical quality control and promote analytic reproducibility and transparency across client engagements, • Deliver strategic, scientific, and methodological expertise to clients and project teams, • Manage project teams responsible for statistical deliverables while providing guidance, oversight, and mentorship, • Support proposal development, budgeting, bid defenses, capability presentations, and other business development activities, • Contribute to internal innovation initiatives, methodological best practices, scientific publications, and conference presentations, • Mentor and develop junior statisticians and analysts through coaching, training, and performance feedback, • Act as a subject matter expert for RWE methodologies and statistical best practices across the organization, • Advanced degree in a relevant discipline such as Biostatistics, Statistics, Epidemiology, Health Economics, Data Science, Economics, Pharmacy, or a related field (Doctoral degree preferred), • Minimum of 6 years of biostatistics experience with a Master's degree, including non-interventional/RWE research experience, or at least 4 years with a doctoral degree, • Proven experience leading statistical activities and delivering client-facing projects within a CRO, pharmaceutical, biotechnology, healthcare, or consulting environment, • Demonstrated expertise in applying biostatistical methods to RWE, epidemiology, and HEOR studies, • Experience utilizing real-world data sources such as claims databases, EHRs, registries, and OMOP or similar data models, • Strong understanding of causal inference, comparative effectiveness research, and bias-adjustment methodologies, • Experience developing SAPs, contributing to protocol design, statistical analysis, and reporting, • Programming proficiency in SAS and R (Python experience is considered an advantage), • Knowledge of regulatory expectations and industry standards for RWE generation and evidence submissions, • Experience managing statisticians, analysts, or project teams and mentoring less experienced team members, • Strong client engagement, communication, presentation, and stakeholder management skills, • Excellent problem-solving ability, scientific curiosity, and attention to detail, • Business fluency in English, both verbal and written Fortrea is actively seeking motivated problem-solvers and creative thinkers who share our passion for overcoming barriers in clinical trials. Our unwavering commitment is to revolutionize the development process, ensuring the swift delivery of life-changing ideas and therapies to patients in need. Join our exceptional team and embrace a collaborative workspace where personal growth is nurtured, enabling you to make a meaningful global impact. For more information about Fortrea, visit www.fortrea.com. Learn more about our EEO & Accommodations request here. At Fortrea, we're all about turning the "impossible" into "I'm possible." Together, we break barriers to deliver exceptional service to our patients, fueled by a shared commitment to teamwork and excellence. Regardless of your role, we're all family, working together to achieve extraordinary results. At Fortrea, your career isn't just a job - it's a journey of making the exceptional possible, every day. #J-18808-Ljbffr

The (Senior) Feasibility & Strategy Leader (FSL / sFSL) acts as a key contributor to the proposal team to support Parexel in winning new business. Working independently, the FSL is responsible for delivering, in collaboration with Integrated Solutions Director and Patient Recruitment Strategy (PRS), an optimized patient-focused, risk informed strategic solution that delivers the right countries, right sites, and right patients and is operationally deliverable. This therapy aligned role supports all types and phases of study pursuits, including programs. The person in this role must demonstrate excellent communication ability, strategic thinking, independent decision-making competency and have a track record working in a fast-paced, time pressured environment. Strong analytical and persuasive, client-focused writing skills are a pre-requisite to the job to allow the FSL to fully adopt a consistent data-driven approach to feasibility and deliver clear, concise, selling proposal messages both in text and in client meetings. Key Accountabilities • Strategic collaboration with the virtual RFP team: Take active role in creating and presenting integrated strategy for strategic scenario planning for each study or program. Through in-depth review of the RFP documents and collaboration with key stakeholders, ensure a full understanding of customer requirements for the proposal as well as key drivers for CRO selection decision., • Risk-informed recruitment benchmark data analysis: Create the basic foundations for the enrolment scenario building, namely range of countries and sites as well as months of recruitment required to enroll the target patients including efficiencies across studies and programs. Identify potential challenges/risks associated with Sponsor specifications if any., • Patient-focused approach to feasibility recommendations: Determine where these patients are found in the healthcare section, recognizing the global nature of the study. Identify site and patient barriers and motivators to participate in this study. This should be discussed with the study assigned MD for confirmation or questions and leveraging available data sources such as RWD or data generated in collaboration with the patient insights team, • Determine and operationalize relevant pre-award feasibility activities: Evaluate and deploy fit-for-purpose activities to support and/or back-up Parexel strategic delivery plan to conduct the trial in order to positively influence Sponsor award decision. For mega studies or partnership programs, this may include leading pilots for innovative feasibility approaches and/or leading feasibility team to deliver multiple services in parallel., • Conduct country analysis and develop risk-based recommendations: Use available country selection tool/platform and deliver protocol-specific country recommendations including solid data-driven rationale, • Lead the development of an integrated operational strategy: Develop evidence-based strategy to successfully recruit patients for clinical trials and deliver enrolment scenarios aligned to the agreed strategy utilizing available modeling tools and techniques, • Articulate and defend the proposed strategy Both internally and externally:, • Develop strong selling proposal text to deliver the agreed compelling strategic approach to meet Parexel’s optimum delivery plan considering Sponsor specific requirements., • Prepare compelling slides to present the strategy for study delivery, country and site selection, and optimized scenario plan., • Attend Bid Pursuit Meetings to present the integrated strategy to support the winning of new business as well as and General Capability Meetings., • Thought leadership / Therapy Area expertise: Within assigned TA, actively contribute to relationship building activities with clients and investigators / thought leaders, • Drive therapy area KPIs including reducing zero enrolling investigators., • Innovate and evolve the approach within assigned TA, i.e., use of optimized strategy using innovative solutions / vendors / data sources, • Oversee gold standard paid feasibility “early engagement’ projects for clients to develop deeper relationships Skills, • Autonomous, driven, competitive, • Independent thinker with significant operational and commercial awareness, • Exceptional analytical and problem-solving skills, • Developed leadership and mentoring skills, • Effective interpersonal, presentation, oral and written communication skills, • Capability to work in a matrix environment and to value the importance of teamwork Knowledge And Experience, • Very strong experience in the Pharmaceutical/CRO Industry within Clinical Research and/or Sales operations, • Strong experience in Project Management/Clinical Management/Feasibility Management of global clinical trials, • Experience in or associated with CRO proposal process and solution development, • Experience in strategic drug development planning or significant involvement in planning clinical or operational strategy preferred, • Demonstratable expertise and experience in clinical trial feasibility assessments Education, • Undergraduate Degree, • Further degree. MSc, MBA, Ph.D. (preferred), • Scientific/Medical/Nursing background, • Fluent in English, oral and written #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. • 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 innovati #J-18808-Ljbffr

Senior Clinical Statistical Programmer (Portfolio Development / Biometrics / Programming) The Role CSL is looking for a Senior Programmer to take technical ownership of one or two clinical trials from first line of code to final submission package. This is a hands-on statistical programming role with real authority attached to it: you'll be the person a study team turns to when the data needs to hold up under regulatory scrutiny, and the person who decides how a dataset gets built, not just who builds it. You'll work alongside statisticians, data managers, medical writers and regulatory colleagues as a peer, not a downstream resource — reading protocols and SAPs early enough to shape how a study's analysis gets structured, then seeing that structure through to submission-ready SDTM and ADaM datasets, TFLs, and supporting documentation. Hybrid Based (3 days a week onsite) in Maidenhead Why It Matters Clinical data is only as useful as the programming behind it is trustworthy. Every regulatory decision downstream — every safety signal caught or missed, every submission accepted or queried — traces back to whether the datasets and outputs were built right the first time. This role sits at that pressure point. You're not just executing specifications; you're often the one writing them, catching the ambiguity in a protocol before it becomes a data problem three months later, and making the judgment calls that keep a study's analysis both scientifically sound and audit-ready. What You'll Be Responsible For You'll lead end-to-end programming for your assigned studies — in-house or outsourced — spanning the full clinical development lifecycle from study setup through analysis, reporting, and regulatory submission. That means building and validating datasets and outputs yourself where the work is done internally, and holding CRO-delivered work to the same bar where it isn't. You'll also be a technical reference point for less experienced programmers, and a contributor to how the wider programming function does its work. · Serve as lead programmer for one or two clinical trials, interpreting protocols, SAPs, data management plans, and CRF specifications to drive study setup and analysis · Design and validate SDTM and ADaM datasets, tables, figures, and listings, in partnership with study statisticians · Review and take ownership of CRO-produced deliverables, ensuring submission-ready quality before they go further · Lead specification and delivery of integrated analyses (e.g. ISS/ISE) and associated outputs when not handled by a CRO · Mentor other programmers on internal processes and standards, and contribute to departmental tools and process improvements · Take on ad hoc analytical work — regulatory query responses, exploratory analyses, publication support — as studies require it Experience Required · Experience of programming in pharmaceutical, biotech, CRO, or clinical research settings · Strong SAS proficiency (Base/Macro/Stat/Graph); familiarity with R or other languages is a plus · Working knowledge of current CDISC standards — CDASH, SDTM, ADaM, define.xml · Track record of producing and validating submission-ready TFLs and datasets, including ad hoc analytical requests · Experience supporting regulatory submissions (FDA required; PMDA, NMPA, or EMA experience a plus) · Comfort working with external vendors and CRO-managed data · BSc in Computer Science, Mathematics, Statistics or a related field — equivalent experience and certifications will also be considered TPBN1_UKTJ

Associate Director, Patient Engagement Lead "Nothing About Us Without Us" At CSL, we believe that patients are more than participants in clinical research. They are partners in the development of life-changing therapies. Our Patient Engagement team is dedicated to ensuring that the patient voice is embedded throughout the drug development journey, helping us design clinical programs that are more meaningful, accessible, and responsive to the needs of those we serve. As a Patient Engagement Lead, you will have the unique opportunity to influence the future of clinical development by bringing patient perspectives directly into decision-making. Working across global, cross-functional teams, you will gather and translate patient insights into actionable recommendations that shape clinical development plans, protocol design, and participant experiences. You will partner closely with patient organizations, advocacy groups, patients, caregivers, and internal stakeholders to conduct advisory boards and other engagement activities that inform study design and patient-facing materials. Your work will help ensure that clinical trials are designed with patients, not just for patients. Hybrid based (3 days a week office) in Maidenhead (UK) What You'll Be Responsible For You will act as an advisor to study teams, turning insight from patients, caregivers, advocacy groups and sites into practical decisions on protocol design, recruitment and retention. You will also represent CSL externally and use data to show what is working and what needs to change. Build and maintain relationships with patient advocacy groups, caregivers and trial participants, and use what you learn to inform protocol design and trial communications Advise study teams on patient needs, site expectations and regional healthcare dynamics Lead initiatives that build patient engagement into trial planning, recruitment and retention strategies Develop and implement site engagement strategies with Site Engagement Leads, aimed at long-term partnerships with trial sites and healthcare institutions Represent CSL in external forums, making the case for patient- and site-centric clinical research, and align engagement work with Medical Affairs and external partners Experience Required Significant relevant clinical research experience in the pharmaceutical industry Direct experience in site and patient engagement Thorough understanding of drug development and every stage of a clinical trial, from protocol development to clinical study report, and how each stage affects patients and sites Extensive knowledge of ICH guidelines and GCP, and the ability to review and assess clinical data and complex scientific concepts Proven ability to influence and resolve conflict in a matrix environment, and to mentor and coach peers Strong project management skills across multiple concurrent programmes, with sound judgement in dealings with external parties Travel: Some travel is expected, including attendance at external forums and meetings with patient groups and sites. TPBN1_UKTJ

Description Join us, be part of more. We're so much more than an energy company. We're a family of brands revolutionising how we power the planet. We're energisers. One team of 21,000 colleagues that's energising a greener, fairer future by creating an energy system that doesn't rely on fossil fuels, whilst living our powerful commitment to igniting positive change in our communities. Here, you can find more purpose, more passion, and more potential. That's why working here is #MoreThanACareer. We do energy differently - we do it all. We make it, store it, move it, sell it, and mend it. Want to help the world move towards Net Zero and shape the future of energy from within the UK's leading energy providers? Energised Futures is Centrica's in-house science, research and innovation incubator, established to systematically explore the possible and catalyse Centrica's purpose of energising a greener, fairer future. To do this, we've built a dynamic and diverse team of researchers to perform cutting edge innovation across its core themes of flexibility, automation, connectivity, markets, engagement, and access, and pairing this with a strong support team to publish and promote research activities, engage with other research institutions and energy innovators, and grow our portfolio of activities. Based in Antwerp and London since 2024, we continue to grow and evolve, giving newcomers to the team the chance to play a pivotal role in shaping the team and its processes, as it in turn shapes the roadmap for the wider organisation and industry. Location: UK Flexible with travel as required to key hubs in Reading and Leicester The Job We are looking for a curious and hands-on Research Engineer - Connectivity & Smart Devices to investigate how connected devices, communication protocols and interoperability standards can support the energy transition. You will research, evaluate and prototype connectivity solutions for smart energy devices, including electric vehicle chargers, heat pumps, batteries, smart meters, home energy systems, sensors and edge gateways. You will work with researchers, architects, software engineers, technicians and external partners to turn emerging technologies into practical experiments, demonstrators and clear technical recommendations. What You'll Be Doing Research and Evaluation: Research emerging connectivity technologies, communication protocols and interoperability standards Design and undertake technical experiments to evaluate performance, reliability, scalability, security and suitability for energy applications Translate experimental findings into clear recommendations for technical and non-technical stakeholders Prototyping: Build proof-of-concept systems using Raspberry Pi, embedded Linux, microcontrollers, edge gateways and smart energy devices Develop software for device communication, protocol integration, device simulation, data acquisition and automated testing Connect physical devices to edge and cloud platforms to demonstrate end-to-end energy use cases Connectivity and Interoperability: Investigate how heterogeneous devices and platforms can communicate securely and consistently Evaluate IoT and energy protocols such as MQTT, CoAP, Modbus, Matter, Thread, OCPP, OpenADR, EEBUS, DLMS/COSEM and IEC 61850 Contribute to reference architectures, interface definitions, test approaches and reusable research assets Collaboration and Communication: Work with multidisciplinary teams across Energised Futures and Centrica Collaborate with universities, technology companies, research organisations and standards communities Produce technical reports, research papers, presentations and demonstrator documentation Contribute to publications, conferences and industry engagement where appropriate What We're Looking For A curious and practical research engineer with strong foundations in networking, programming and connected devices, and a genuine interest in applying these capabilities to the energy transition Key Skills and Experience: Good knowledge of computer networking and Internet protocols Programming experience in any of Python, Rust, C/C++ or another relevant systems or embedded language Hands-on experience with Raspberry Pi, embedded Linux, microcontrollers or similar platforms Knowledge of device communication protocols and integration patterns Ability to troubleshoot hardware, software and connectivity problems Understanding of connected-device cybersecurity Experience conducting structured technical investigations or experimental engineering Ability to communicate technical findings clearly through reports, presentations and demonstrations Interest in smart energy devices, distributed energy resources, flexibility and the digitalisation of energy systems Nice to Have: Experience with electric vehicle chargers, heat pumps, smart meters, battery systems, solar inverters or home energy-management technologies Knowledge of energy-sector interoperability standards such as OCPP, OpenADR, EEBUS, SAREF, IEC 61850, IEEE 2030.5 etc Knowledge of AWS or Azure IoT and edge-computing services Experience working with external research partners, standards organisations or collaborative innovation programmes Publications, patents, conference presentations or open-source contributions Education and Background: A degree in Computer Science, Computer Engineering, Electrical or Electronic Engineering, Telecommunications, Embedded Systems, Energy Systems or a related subject, or equivalent professional experience A relevant Master's degree is desirable but not essential A relevant PhD is advantageous, but not mandatory. Equivalent industrial research, product-development or experimental-engineering experience will be equally valued What We Offer: An attractive salary and compensation package appropriate to the successful candidate's skills and experience A competitive set of additional benefits, depending on the hiring location A flexible hybrid-working pattern The opportunity to work with smart energy devices, advanced connectivity technologies and experimental test environments Scope to publish research, attend conferences and collaborate with academic and industry partners A high-calibre multidisciplinary team in which your technical and creative input can have a visible impact An inclusive working environment that values different backgrounds, experiences and perspectives The opportunity to contribute directly to a greener, fairer energy future Why should you apply? We're not a perfect place - but we're a people place. Our priority is supporting all of the different realities our people face. Life is about so much more than work. We get it. That's why we've designed our total rewards to give you the flexibility to choose what you need, when you need it, making sure that you and your family are supported not only financially, but physically and emotionally too. Visit the link below to discover why we're a great place to work and what being part of more means for you. https://www.morethanacareer.energy/centrica If you're full of energy, fired up about sustainability, and ready to craft not only a better tomorrow, but a better you, then come and find your purpose in a team where your voice matters, your growth is non-negotiable, and your ambitions are our priority. Help us, help you. We would love for you to share any information about yourself throughout our recruitment process so that we can better understand you and help shape your journey. TPBN1_UKTJ

Alnylam Pharmaceuticals in Maidenhead is seeking an Associate Director of Biostatistics to lead statistical activities for clinical trials, including trial design input, protocol statistics sections, SAP preparation, and interpretation of trial analyses. The role is hybrid with two onsite days weekly and requires a PhD with extensive biostatistics experience or an MS with substantial relevant experience, plus SAS and CDISC expertise and regulatory collaboration. #J-18808-Ljbffr

Bristol Myers Squibb is seeking an Associate Director of Biostatistics to contribute to trial design, analysis planning and regulatory submissions. The role sits on cross-functional Development teams, with 50% onsite presence in Uxbridge and close collaboration with indication leads and other experts. The candidate will lead protocol development, SAPs, and CSRs, while guiding teams and communicating results clearly for authorities and publications. #J-18808-Ljbffr

Version 1 is seeking a skilled Python Developer with experience in the trading domain and FIX protocol to join our dynamic team. The role focuses on developing, maintaining, and enhancing trading applications using Python, implementing FIX-based solutions, collaborating with traders and quants, and

AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.co.uk. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube. About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.co.uk. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube. The SML reports into the Associate Director/Sr. Manager, Global Site Management and provides direction and operational expertise for all Clinical Site Management (CSM) integrity, quality, and timeliness of activities in assigned studies. The position can be assigned to serve as the overall CSM functional study strategy leader and/or can be assigned to manage area site execution activities in collaboration with other assigned SMLs dependent on size, complexity, and geographic scope of assigned studies. Influences and aligns within Clinical Development Operations, with other assigned Site Management leaders, and key stakeholders in assigned studies. Accountable for driving study level global and/or area level CSM deliverables by targeted timelines with allocated resources for their assigned studies. • Analyze study timelines and overall study assumptions to confirm deliverables are feasible for CSM., • Support and communicate CSM resource needs with Country Leaders in alignment with study deliverables and milestones., • Accountable for study level site monitoring strategy, documented in Site Monitoring Plan., • Accountable to set and lead Site Engagement Strategy., • Ensure study-level and/or area-level timelines are maintained across the study lifecycle. Provide timely and essential study information for country-level teams to execute milestones Drive site-level activities at study level and/or area level, including site selection, activation, site engagement, protocol adherence and close out., • Oversee monitoring activities at study and/or area level in collaboration with other assigned SMLs as applicable, ensuring quality deliverables, status tracking, and milestone adherence and acceleration if applicable. Drives CSM deliverables during data snapshots and database locks, aligned to Data Cleaning Plan. Ensure sites are closed per Site Closure Plan., • Proactively identify, evaluate, and mitigate risks, ensuring effective action plans; key contributor to Risk Assessment and Mitigation Plan (RAMP). Collaborate with other assigned SMLs and stakeholders in the Clinical Study Team to address and manage risks to align with overall study execution. Ensure site compliance, elevate issues, and analyze trends for continuous improvement., • Responsible for providing inputs on expected CSM documents at the study level and driving TMF completeness for CSM artifacts. Responsible from study start to close for ensuring that on-going CSM Inspection Readiness activities are completed at the study level., • Bachelor’s Degree or equivalent OUS degree, typically in (para)medical or scientific field. A minimum of 5 years of industry clinical research experience and preferred 2 years of monitoring or project management or equivalent experience on a global study., • Preferred exposure in study initiation through study completion in multiple phases of studies (Phase II and III, Phase I in patients). Experience in multiple therapeutic areas or disease state/indications highly desired., • Demonstrates a high level of core and technical competencies through management of various components of clinical trials., • Possesses good communication skills and demonstrated leadership abilities. Able to influence without authority in a matrix environment., • Competent in application of standard business procedures (Standard Operating Procedures, International Conference on Harmonization (ICH), Global Regulations, Ethics and Compliance)., • Demonstrated good written and verbal communication skills including fluency in English. Excellent planning and organizational skills and the ability to work effectively and efficiently in a dynamic, fast-paced environment., • Strong ability to create and deliver presentations. Able to work well within a matrix team and autonomously. Thinks proactively., • Advanced skills in Microsoft Word, Microsoft PowerPoint, Microsoft Excel, Microsoft OneNote Additional Information AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. US & Puerto Rico only - to learn more, visit US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more: #J-18808-Ljbffr

Lanes Group is seeking a Transport and Compliance Manager to oversee the efficient and compliant operation of the transportation fleet in Colnbrook. The role focuses on meticulous maintenance planning, regulatory adherence, and safety protocol implementation.

Job Description We are seeking a skilled Python Developer with experience in the trading domain and FIX protocol to join our dynamic team. Key Responsibilities: Develop, maintain, and enhance trading applications using Python. Proven experience for more than 6+ years as a Python Developer in the tra

The role requires a life sciences degree and 5+ years in clinical science or clinical research, with strong GCP/ICH knowledge, data interpretation, protocol development, and stakeholder management.

Lanes Group is a leading nationwide utility services provider with c.5000 dedicated employees. Our diverse subsidiaries drive our success across various sectors, contributing to a remarkable turnover of over £700 million. We are committed to excellence and innovation, ensuring we provide industry leading services to our clients and stakeholders. Join us to be part of a dynamic and growing team that values diversity and fosters professional growth. The Logistics Management Centre (LMC) provides wastewater tankering and treatment services across the Thames region, giving critical support to planned, routine, and resilience operations across the Thames Water network. The Tankering Division provides tanker transport of wastewater around the network to ensure it continues to operate. The Treatment Division supports the cleaning and treatment of wastewater infrastructure. The transport and compliance manager is instrumental in ensuring the efficient and compliant operation of our transportation fleet. Your focus will be on meticulous maintenance planning, regulatory adherence, and safety protocol implementation. The ideal candidate will have a keen eye for detail, excellent organizational skills, and a commitment to upholding the highest standards of safety and compliance within the context of our operations at Lanes Group. Location: Colnbrook, Iver Job Type: Full-time Hours: Monday to Friday • Be aware of BSI Policies and their responsibilities towards them, • Develop and execute comprehensive preventive maintenance programs for the transportation fleet., • Collaborate with in-house maintenance teams and external service providers to ensure timely and efficient repairs and inspections., • Maintain accurate records of all maintenance activities, including schedules and associated costs., • Stay abreast of UK transportation regulations and standards, ensuring Lanes Group PLC's compliance with local, national, and industry-specific laws., • Conduct regular audits to verify compliance with safety and environmental regulations., • Work closely with relevant authorities and agencies to address compliance issues and stay informed about updates., • Implement and enforce robust safety protocols to minimize accidents and ensure the well-being of our transportation personnel., • Provide comprehensive training to drivers and other staff on safety procedures and compliance requirements., • Investigate and promptly report any accidents or incidents, taking corrective actions to prevent future occurrences., • Collaborate effectively with key stakeholders, including internal teams and external partners, to ensure seamless communication and alignment of objectives., • Engage with regulatory bodies, suppliers, and clients to address concerns, provide updates, and foster positive relationships., • Maintain accurate and up-to-date records of vehicle inspections, maintenance, and compliance activities., • Generate reports for Lanes Group PLC management, highlighting key performance indicators related to maintenance and compliance., • Collaborate effectively with external vendors for vehicle maintenance and compliance services, ensuring cost-effectiveness and maintaining high-quality standards. By embedding our companies core values and purpose into each role, ensures that every employee, regardless of their role or level, understands how their individual development and contributions align with our purpose of 'improving today for a better tomorrow'. Each role and value has an alignment to set proficiency levels and expectations; this role holder is expected to: • Leading: Acts as a role model, shaping the learning agenda and influencing change., • Agile: Anticipates learning needs, adjusts quickly to changing operational contexts., • Nurturing: Supports the development of others through coaching and structured development plans., • Engaging: Inspires and motivates learners, builds trust and credibility, • Safe & Secure: Ensures all learning is aligned to safety and compliance standards., • Strive to be always positive and constructive, • Adhere to all company policies, • Straight talking about the facts of the situation - open discussions are the best way to find solutions, • Help others through communicating clearlyDeliver on commitments, • Ensure that any ideas that may enhance the productivity or systems of the company are brought to the attention of Senior Management, or your colleagues, • Deliver our Company Values understanding that by working together in unity we are ‘Stronger Together’ At Lanes Group, we are dedicated to fostering a diverse and inclusive workplace where everyone feels valued and empowered. We believe that our differences make us stronger and are committed to providing equal opportunities for all employees. We welcome and encourage applications from individuals of all backgrounds, including those from underrepresented groups. Join us in our commitment to creating a more inclusive and diverse world. #J-18808-Ljbffr

KPS Life is seeking an experienced Senior Clinical Study Lead to drive the successful delivery of large and complex global clinical trials from protocol development through to study close-out.

Version 1 Solutions Limited is seeking a skilled Python Developer with 6+ years of experience in the trading domain and expertise in the FIX protocol.

• Lead risk-based quality management across assigned clinical trials, • Drive protocol-stage Quality Risk Assessment and Control Tracker activities under ICH E6 R3, • Manage quality issues, audit responses, corrective actions, preventive actions, and trend analysis, • Partner with study leads, monitoring teams, and contract research organisations on site risks, • Escalate significant quality events and trends to Executive Quality Leadership, • Support inspection readiness, responses, and follow-up actions across relevant functions, • Manage onboarding, development goals, coaching, performance discussions, and team administration, • You champion quality, integrity, continuous learning, and trusted partnerships, • Bachelor's degree and eight years' relevant healthcare or pharmaceutical industry experience, • Quality, compliance, clinical development, Good Clinical Practice, or Good Pharmacovigilance Practice experience, • Advanced risk-based quality management, risk assessment, and compliance knowledge, • Experience managing complex issues, regulatory inspections, and inspection readiness, • Subject matter expert, process owner, training, presentation, and staff management experience, • Process improvement, project management, prioritisation, and time management skills, • Advanced Microsoft Outlook, Word, Excel, and PowerPoint skills, • Strong communication, collaboration, • At Regeneron, we use science and innovation to develop life-changing medicines for people with serious diseases. We are seeking a Senior Manager, GCP Quality Management - Global Development to join our Global Development Quality team, supporting our global clinical development organisation in a hybrid work model. In this role, you will lead risk-based quality management across clinical trials while collaborating with study teams, clinical functions, contract research organisations, and quality colleagues. This position offers the opportunity to contribute to a fast-growing, science-driven organization making a meaningful difference to patients worldwide., • Where necessary, we disclose salary ranges for roles in all countries in which we operate. The final offer will be determined within the relevant range based on the country of employment, specific role level, and your skills and experience. In some countries, collective bargaining agreements (CBAs) may apply and influence certain elements of pay or benefits. Regeneron offers a competitive and comprehensive total rewards package which may include, depending on country and role: annual bonuses or other incentive plans, equity awards, pension or retirement benefits, 401(k) company match, health and wellness programs, fitness centers, insurance benefits (e.g. medical, dental, vision, life and disability), paid time off, and family support benefits. For additional information about Regeneron benefits in the U.S., please visit en/working-at-regeneron/total-rewards/ . For other locations, additional information will be provided during the recruitment process., • If you have any questions, please speak with your recruiter. #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. Location: Uxbridge, UK Hybrid Working: 50% Onsite Are you ready to turn clinical data into life-changing decisions? At Bristol Myers Squibb, we believe that behind every dataset, every line of code, and every submission package, there's a patient waiting for a better option. As our Senior Statistical Programmer, you are one of the people who makes that happen. This isn't a role where your work disappears into a black box. Here, your programming expertise directly shapes how new medicines are developed, reviewed by regulators, and ultimately approved for patients around the world. That's a pretty remarkable thing to be part of. You’ll be a key technical voice within our Global Biometrics & Data Sciences (GBDS) function, working closely with cross‑functional clinical teams, collaborating with external vendors, and owning your programming workload with real autonomy. This is a focused individual contributor role - no line management responsibilities — so you can put your energy exactly where it matters most: delivering high‑quality, high‑impact programming work. • Writing and validating SAS programs to generate derived analysis datasets and clinical Tables, Figures, and Listings (TFLs) - work that feeds directly into regulatory decision‑making, • Contributing to electronic submission preparation (think NDA, BLA, MAA) — real regulatory milestones that mark pivotal moments in a medicine's journey, • Reviewing and shaping key planning documents like Statistical Analysis Plans (SAPs) and Data Presentation Plans, ensuring clarity and completeness before programming work begins - your input genuinely steers project direction, • Partnering with vendors on programming standards, specifications, and file transfers, building the kind of collaborative relationships that make complex programmes run smoothly, • Independently leading programming assignments across multiple projects with minimal supervision - you'll have real ownership and the trust to match it, • Spotting opportunities to improve efficiency and consistency across GBDS, contributing to initiatives that make the whole team better We're looking for someone with a solid foundation and the drive to apply it meaningfully. Here's what we need: • A Bachelor's degree in Statistics, Biostatistics, Mathematics, Computer Science, or Life Sciences, • Demonstrated industry experience in statistical programming, • Strong, proven proficiency in SAS for producing derived analysis datasets and TFLs, • In-depth understanding of clinical data structures, including CDISC standards (SDTM, ADaM) and relational databases, • Hands‑on experience with upstream data handling - multiple data forms, eDC, workflow, and SDTM, • Ability to deliver downstream outputs including ADaM datasets, Data Definition Tables, and e‑submission packages, • Confidence with tools like MS Office, XML and Pinnacle 21, • A solid grasp of regulatory, industry, and technology standards - you understand why the rules exist, not just what they are, • Familiarity with statistical terminology, clinical trial methodology, medical terminology, and protocol designs, • A genuine team player - you communicate well, build bridges across functions, and make the people around you more effective, • Deep experience supporting global regulatory filings (NDA, BLA, MAA) within pharma clinical development, • Broad knowledge of the end-to-end drug development process and global regulatory frameworks, • Experience with R or other statistical programming languages, • Familiarity with the Linux operating system Here, your skills aren't just technically valued - they're mission critical. You'll work in an environment that respects your expertise, gives you the autonomy to lead your own work, and connects your daily output to outcomes that genuinely matter. You'll gain: • Exposure to the full clinical development lifecycle, from data collection through to regulatory submission, • The chance to work with industry‑leading standards and technologies in a global biometrics function, • A culture that actively encourages you to identify improvements and champion change - your ideas won't gather dust here, • Collaboration with talented, purpose‑driven colleagues across global cross‑functional teams #LI-Hybrid We hire for skills and capabilities, not just credentials – if this role excites you, but doesn’t perfectly match your resume, we encourage you to apply anyway. 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. 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

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

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Psychology graduate needed to support students with SEND/SEMH needs.Providing 1:1 and small group support.

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