31 jobs found

We at TFP, are looking for brilliant minds and passionate hearts to help us shape the future of fertility. We are one of the largest fertility service providers in Europe operating our IVF clinics and egg/sperm freezing banks in the UK, Poland and Netherlands. We have embarked on the mission to use technology to provide patients with a memorable best-in-class fertility journey that leads to the best outcome - starting a family! At TFP, we offer all our patients the care, understanding and expertise that help to bring dreams to life. We are passionate about what we do, which reflects our commitment to creating lives and changing lives. Science research and innovation are key to how we work and have led to us pioneering fertility treatment for more than 35 years. Many of our clinicians are internationally renowned specialists and we regularly share knowledge across our clinics to further improve our success. TFP has a national donor sperm bank, its own quality assurance scheme and own training scheme for junior embryologists. In addition, we are proud to say that we offer a clear & bespoke career framework, support continuing professional development and provide opportunities for staff to travel to other TFP clinics further their learning and support career progression. The Role: This is an exciting opportunity for a trained Embryologist to join our team of highly skilled and dedicated scientists. As well as providing a significant contribution to the clinical workload, the successful candidate will have opportunities to be involved in training junior embryologists, internal quality control, donor recruitment, organising imports/exports and supporting in the management of stored gametes/embryos. This is a full time position working 37.5 hour per week There will be on-call and weekend working required on a rotational basis This position is available as a 12 month fixed term contract The Location: Wessex Fertility was established in 1992 and is one of the UK's longest standing IVF clinics. Due to the passion, expertise and reputation of our team, the clinic has grown into a leading fertility clinic and offers a full suite of treatment and diagnostic services, including PGT. Providing treatment to both NHS and private patients, Wessex Fertility performs approximately 500 fresh cycles and 400 frozen cycles per year. Conveniently located on the outskirts of Southampton, adjacent to junction 3 of the M271, there is ample free parking for staff and patients around the building. Our laboratory is equipped with the latest equipment and monitoring systems that support us in achieving excellent outcome KPI's. Wessex Fertility also has a 5/5 inspection rating from the HFEA. Key Responsibilities: Clinical Skills: Perform standard embryology & andrology procedures (e.g., semen analysis, oocyte collection, ICSI, embryo transfer, cryopreservation). Recruit, select, and screen gamete donors following national regulations and TFP policies. Ensure adherence to TFP Laboratory SOPs in all procedures. Communicate treatment results and options to patients. Obtain patient consent and accurately document cycle details in the management system. Perform witnessing & traceability in line with regulations. Assist in cryostore & gas cylinder maintenance, equipment quality control, and lab cleaning. Quality Management: Acknowledge and read lab documents (SOPs, policies, risk assessments). Raise non-conformities and notify Lab Manager. Participate in quality control & assurance activities. Monitor KPI data and personal performance. Follow Health & Safety guidelines and use PPE appropriately. Resource Management: Monitor lab equipment and stock levels. Induction, Training & Performance Management: Assist in training junior staff under Lab Manager's guidance. Engage in continuous professional development. Regulatory Compliance: Adhere to national regulations, professional guidelines, and TFP policies. Ensure proper witnessing & traceability of lab processes. Maintain cryostore and ensure consent in line with regulatory requirements. Transport gametes/embryos in accordance with regulations. Participate in research projects as needed. Communication: Attend lab/clinic meetings as directed by Lab Manager. Ensure effective communication with other departments and TFP. Participate in patient information events and represent TFP at industry conferences. Confidentiality: Maintain confidentiality in line with data protection legislation. Qualifications and Experience: Essential Degree in Life Science State Registered/Nationally Registered Scientist (or immediately eligible to apply) Minimum of 3 years clinical experience Full knowledge of the biology and scientific evidence underpinning clinical embryology practice Full knowledge of the work of related disciplines Full knowledge of prevailing national legislation Experience of performing quality control and participating in quality assurance Flexible and self-motivated High level of resilience High level of attention to detail Excellent communication skills Excellent time management/prioritisation skills Right to work in the country of application Satisfactory criminal record checks Desirable MSc or PhD in Life Science ESHRE Certificate PGT Experience Salary: Competitive (Depending on experience) Location: TFP Wessex Fertility Hours of work: 37.5 hours per week 08.00-16.00hrs Weekend Working at approximately a 1:4 (renumerated with TOIL/overtime) On-Call: Working approximately a 1:4 in coordination with your weekend (remunerated with a daily rate of pay in addition to your basic salary) Pension: Dual contribution pension scheme Holiday Entitlement: 27 Days + Bank holidays pro rata

Architect for Data Center Projects - ( 189845 ) About Us At HDR, we specialize in engineering, architecture, environmental and construction services. While we are most well known for adding beauty and structure to communities through high performance buildings and smart infrastructure, we provide much more than that. We create an unshakable foundation for progress because our multidisciplinary teams also include scientists, economists, builders, analysts and artists. That's why we believe diversity is our greatest strength. HDR is proud to be an equal opportunity workplace and an affirmative action employer. Watch Our Story: We believe that the way we work can add meaning and value to the world. That ideas inspire positive change. That coloring outside the lines can illuminate fresh perspectives. And that small details yield important realizations. Above all, we believe that collaboration is the best way forward. HDR was ranked among the "Top 30 Data Center Architecture + AE Firms" in BD+C's "2022 Giants 400" report - the list of the largest architecture, engineering and construction firms in the United States. Primary Responsibilities In the role of Architect Data Center Projects, we'll count on you to: Have recent experience working on diverse and complex infrastructure projects (including data centre, mission critical and science/technology). Evaluate, select and apply standard architectural techniques, procedures and criteria using judgment for minor adaptations and modifications Perform assignments with specific objectives, requiring investigation of a limited set of variables Follow instructions on specific assignment objectives, complex features and possible solutions Perform architectural assignments with direction, but without immediate supervision and with limited design responsibility Recommend and select procedures Write reports and specification covering architectural matters Perform other duties as needed You'll be working closely with the multi disciplinary design teams, clients, and contractors in the UK and Europe. Required Requirements Bachelor's degree in Architecture or closely related field Registered Architect (ARB) A minimum of 3-5 years practical and industry experience Proficient in use of Autodesk Revit and familiarity with related tools and process Strong leadership, communication and relationship management skills Excellent analytical and critical thinking skills Excellent collaboration skills, good self organisation and strong ability to work in a team environment. Ability to multi task, prioritise and meet tight deadlines. An attitude and commitment to being an active participant of our employee owned culture is necessary. Preferred Qualifications Master's degree in Architecture Experience and/or interest in sustainable design/LEED Knowledge of Photoshop, Illustrator, and SketchUp Rhino and Grasshopper experience Required Qualifications Bachelor's degree in Architecture or closely related field A minimum of 3 years experience Registered Architect Experience with Microsoft Office (Word, Excel, Project) Strong leadership, communication and relationship management skills Excellent analytical and problem solving skills Proficient in use of Autodesk Revit and familiarity with related tools and process Demonstrated graphic presentation skills An attitude and commitment to being an active participant of our employee owned culture is a must What We Believe HDR is our company. Together, we build on each other's life experiences and perspectives to make great things possible every day. This shapes our collaborative culture, encourages organizational trust and connects us closer to the clients and communities we serve. Our Commitment As employee owners, we all have a role in creating an inclusive environment where each of us is welcomed, valued, respected and empowered to bring our authentic selves to work every day. Our eight Employee Network Groups (Asian Pacific, Black, Hispanic/Latino(a), LGBTQ+, People with Disabilities, Veterans, Women, Young Professionals) help create a sense of belonging and foster a supportive environment where everyone is empowered to engage and contribute. Each group has an executive sponsor and is open to all employees. Primary Location United Kingdom-England-London Schedule Full time Employee Status Regular Job Posting At HDR, we are committed to the principles of employment equity. We are an affirmative action and equal opportunity employee. We consider all qualified applicants, regardless of criminal histories, arrest and conviction records. Ready to learn more? Let's work together to make great things possible. We design solutions to the world's greatest challenges. We're always looking for great talent to join our global teams.

Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation and navigate constant change. Through a combination of strategy, expertise and creativity, we help clients accelerate operational, digital and cultural transformation, enabling the change they need to own their future. Join our team as the expert you are now and create your future. Data Science Manager We're seeking a Data Science Manager to join the Data Science & Machine Learning team in our Commercial Digital practice, where you'll lead advanced analytics initiatives that transform how Fortune 500 companies make decisions across Financial Services, Manufacturing, Energy & Utilities, and other commercial industries. Managers play a vibrant, integral role at Huron. Their invaluable knowledge reflects in the projects they manage and the teams they lead. Known for building long standing partnerships with clients, they collaborate with colleagues to solve their most important challenges. Our Managers also spend significant time mentoring junior staff on the engagement team sharing expertise, feedback, and encouragement. This promotes a culture of respect, unity, collaboration, and personal achievement. This isn't a reporting role or a dashboard factory-you'll own the full analytics lifecycle from hypothesis formulation through insight delivery, while leading and developing a team of data scientists and analysts. You'll work on problems that matter: experimental designs that validate multi million dollar strategies, predictive models that surface hidden patterns in complex data, and deep learning pipelines that extract signal from unstructured text, images, and time series. Our clients are Fortune 500 companies looking for partners who can find the signal in the noise and tell the story that drives action. The variety is real. In your first year, you might lead a customer segmentation and lifetime value analysis for a financial services firm, design and analyze a pricing experiment for a global manufacturer, and build an agentic anomaly detection system for a utility company's operational data-all while developing the next generation of data science talent at Huron. If you thrive on rigorous analysis, clear communication of complex findings, and building high performing teams, this role is for you. What You'll Do Lead and mentor junior data scientists and analysts-provide technical guidance, review analytical approaches and code, and support professional development. Foster a culture of intellectual curiosity, rigorous methodology, and clear communication within the team. Manage complex multi workstream analytics projects-oversee project planning, resource allocation, and delivery timelines. Ensure analyses meet quality standards and client expectations while maintaining methodological rigor. Design and execute end to end data science workflows-from problem framing and hypothesis development through exploratory analysis, modeling, validation, and insight delivery. Own the analytical approach and ensure conclusions are defensible. Lead development of both traditional statistical and modern AI powered analyses-including regression, classification, clustering, causal inference, A/B testing, and modern deep learning approaches using embeddings, transformer architectures, and foundation models for text, time series, and multimodal analysis. Build predictive and prescriptive models that drive business decisions-customer segmentation, churn prediction, demand forecasting, pricing optimization, risk scoring, and operational efficiency analysis for commercial enterprises. Translate complex analytical findings into actionable insights-create compelling data narratives, develop executive ready presentations, and communicate technical results to non technical stakeholders in ways that drive decisions. Serve as a trusted advisor to clients-build long standing partnerships, deeply understand business problems, formulate the right analytical questions, and deliver insights that create measurable value. Contribute to practice development-participate in business development activities, develop reusable analytical frameworks and methodologies, and help shape the technical direction of Huron's DSML capabilities. Required Qualifications 5+ years of hands on experience conducting data science and advanced analytics-not just ad hoc analysis, but structured analytical projects that drove business decisions. You've framed problems, developed hypotheses, analyzed data, and delivered insights that created measurable impact. Experience leading and developing technical teams-including coaching, mentorship, methodology review, and performance management. Demonstrated ability to build high performing teams and develop junior talent. Strong Python and SQL programming skills with deep experience in the data science ecosystem (Pandas, NumPy, Scikit learn, statsmodels, visualization libraries). Comfortable writing production quality code, not just notebooks. Solid foundation in statistics and machine learning: hypothesis testing, regression analysis, classification, clustering, experimental design, causal inference, and understanding of when different approaches are appropriate for different questions. Experience with deep learning and modern neural architectures-understanding of transformer models, embeddings, transfer learning, and how to leverage foundation models for analytical tasks. You know when ML approaches add value over classical methods, and how to integrate them into rigorous analytical workflows. Proficiency with data platforms: Microsoft Fabric, Snowflake, Databricks, or similar cloud analytics environments. You're comfortable working with large datasets and can optimize queries for performance. Exceptional communication and data storytelling skills-ability to distill complex analyses into clear narratives, create compelling visualizations, lead client meetings, and build trusted relationships with executive audiences. This is non negotiable. Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or related quantitative field (or equivalent practical experience). Flexibility to work in a hybrid model with periodic travel to client sites as needed. Preferred Qualifications Experience in Financial Services, Manufacturing, or Energy & Utilities industries. Background in experimental design, A/B testing, and causal inference methodologies-including propensity score matching, difference in differences, or instrumental variables. Hands on experience with deep learning frameworks (PyTorch, TensorFlow) and neural architectures-including transformers, attention mechanisms, and fine tuning pretrained models for NLP, time series, or tabular data applications. Experience building AI assisted analytical workflows-leveraging foundation model APIs, vector databases, and retrieval systems to accelerate insight extraction from unstructured data. Experience with Bayesian methods, probabilistic programming (PyMC, NumPyro, etc.), or uncertainty quantification in business contexts. Strong visualization and data interface design and development skills using programmatic visualization libraries (Plotly, Altair, D3). Proficiency with AI assistant rapid data application development using Cursor, Lovable, v0, etc. Experience with time series analysis, forecasting methods (ARIMA, Prophet, neural forecasting), and demand planning applications. Cloud certifications (Azure Data Scientist, Databricks ML Associate, AWS ML Specialty). Consulting experience or demonstrated ability to work across multiple domains and adapt quickly to new problem spaces. Master's degree or PhD in Statistics, Applied Mathematics, Economics, or related quantitative field. Why Huron Variety that accelerates your growth. In consulting, you'll work across industries and analytical challenges that would take a decade to encounter at a single company. Our Commercial segment spans Financial Services, Manufacturing, Energy & Utilities, and more-each engagement is a new domain to master and a new problem to crack. Impact you can measure. Our clients are Fortune 500 companies making significant investments in analytics and AI. The insights you generate will inform real decisions-pricing strategies, customer segmentation, operational improvements, strategic investments. You'll see your analysis drive outcomes. A team that thinks deeply. Huron's Data Science & Machine Learning team is a close knit group of practitioners, not just advisors. We develop hypotheses, analyze data, and deliver insights that hold up to scrutiny. You'll work alongside data scientists and engineers who care about getting the answer right and telling the story clearly. Investment in your development. We provide resources for continuous learning, conference attendance, and certification. As our DSML practice grows, there's significant opportunity to take on technical leadership, shape our capabilities, and advance to senior leadership roles. Position Level Manager Country United Kingdom

Global University Systems is building a modern AI platform to power how our universities recruit, teach, support, and serve students. The Director of AI will lead this transformation, turning promising ideas into production-grade AI solutions that create real value for students and staff. This role owns the AI roadmap end-to-end: from identifying high-impact use cases, to running rapid experiments, to scaling successful solutions across multiple Higher Education Institutions. What you'll do: Set vision and strategy Own and continually refine the AI initiatives portfolio and roadmap for the group. Run a structured intake process for new ideas, assessing value, feasibility, data readiness, ethical risk, and compliance. Define clear success measures for every proof of concept (PoC) and MVP, including KPIs, leading indicators, and decision gates to continue, pivot, or stop. Lead PoCs and MVPs Run time-boxed PoCs (2-8 weeks) and MVPs (8-16 weeks) using Agile methods (Scrum or Kanban) with regular demos and retrospectives. Build and lead cross-functional squads including Product Owner, Data Scientists, ML Engineers, Integration Engineers, Solution Architect, and domain experts from Admissions, Registry and Student Services. Design experiments, test hypotheses, and iterate quickly, ensuring human-in-the-loop for critical decisions such as admissions triage or student risk flagging. Embed Responsible AI practices from the start, including bias assessment, explainability, accessibility, documentation, and impact assessments tailored to higher education. Scale platforms and solutions Take validated MVPs into production with robust architecture, integration patterns, security controls, SLAs, and operational runbooks. Establish MLOps across the university environment, including model registry, CI/CD for ML, feature stores, monitoring for drift, and retraining policies. Build reusable AI platform capabilities (e.g., orchestration, RAG services, prompt safety, connectors) that support multiple domains such as: Recruitment & Admissions: enquiry triage, lead scoring, document extraction, and decision support. Student Records & Registry: data quality checks, anomaly detection, and predictive alerts for progression and retention. Timetabling & Operations: demand forecasting, optimization support, and conflict detection. Teaching & Learning: content summarization, tutoring assistants, accessibility tools, and feedback synthesis respecting academic integrity. Student Support & Wellbeing: intelligent case routing, early warning signals, and proactive nudges designed with strong ethics and safeguarding. Research Administration: grant discovery, compliance support, and metadata enrichment. Coordinate integrations with core systems including SIS (e.g., Banner, Workday Student), LMS/VLE (Moodle, Canvas), CRM (Salesforce), library systems, HR/Finance (ERP), and identity platforms (e.g., Azure AD). Govern AI responsibly Implement a practical AI governance framework that includes a use case register, risk scoring, impact assessments, model documentation, and audit trails. Ensure compliance with GDPR, accessibility standards (e.g., WCAG), information security policies, and emerging AI regulations. Define and enforce guardrails for data and GenAI use: data access controls, PII handling, prompt/data leakage prevention, and content moderation. Drive adoption and change Partner with Deans, Registry, Admissions, Student Services, IT, Legal and other stakeholders to align on priorities and rollout plans. Communicate progress through clear dashboards and storytelling, highlighting wins and lessons learned to build momentum. Prepare teams and students for AI adoption with training, standard operating procedures, ethical use guidelines, and tailored communications. Manage vendors and financials Lead RFPs and SOWs for AI vendors, data providers, and implementation partners, including evaluation of cost, performance, and scalability. Track and optimize cloud and AI platform spend, balancing cost with value; negotiate campus-wide licensing where beneficial. What you bring: Education Bachelor's or Master's degree in Data Science, Computer Science, Business Analytics, or a related discipline. Knowledge and skills Product and outcome mindset: frames problems as hypotheses, focuses on measurable impact, and is willing to stop or pivot when evidence is weak. Delivery excellence: strong Agile practices, risk-based planning, and disciplined stage-gates from idea to production. Technical fluency: able to bridge data science, engineering, security, and business stakeholders, and make informed technical decisions. Responsible AI and data literacy: understands and embeds ethics, privacy, and accessibility by design. Change leadership: confident working across diverse academic and professional services communities to drive adoption. Experience with major cloud and AI stacks such as Azure OpenAI / OpenAI, Azure ML, Databricks, Kubernetes, and Docker. Familiarity with data platforms such as Azure Data Lake, Synapse/ADF, Delta Lake, and messaging platforms (e.g., event hubs, service bus). Exposure to MLOps and observability tools (e.g., MLflow/model registry, GitHub Actions, Prometheus/Grafana, Evidently AI). Knowledge of integrating with SIS (Banner/Workday Student), LMS (Moodle/Canvas), CRM (Salesforce), ERP (Oracle/Workday), and IdP (Azure AD). Comfort with collaboration and reporting tools such as Jira/Azure Boards, Confluence, and Power BI. Experience 6+ years in IT delivery, product, or program leadership roles, including at least 3 years leading AI/ML or advanced analytics initiatives end-to-end. Proven track record running Agile PoCs and MVPs and scaling them into production within complex organizations. Strong understanding of AI/ML techniques (e.g., classification, NLP, GenAI, RAG, prompt engineering), data pipelines, APIs, and microservices. Hands-on experience with cloud platforms (Azure preferred; AWS or GCP also valued) and MLOps tools (e.g., MLflow, Azure ML, Databricks, SageMaker or Vertex) plus observability practices. Familiarity with higher education processes and integrations across SIS, LMS, CRM, and ERP environments. Knowledge of data privacy, accessibility, security, and Responsible AI in academic or similarly regulated contexts. Excellent stakeholder communication skills with the ability to translate technical topics into clear outcomes for non-technical audiences. Experience designing or operating an AI platform or shared AI services used across multiple domains or business units. Hands-on work with vector databases and retrieval pipelines (e.g., Azure AI Search, Pinecone) and guardrails for GenAI. Background in enterprise architecture and integration patterns (event-driven, REST, GraphQL). Relevant certifications such as Agile/Scrum (PSM/CSM), Azure AI Engineer/DP-100, PMI-ACP/SAFe, or security/privacy certifications. If you are excited by the opportunity to shape the future of AI in higher education and deliver impact at scale, we encourage you to apply and join us on this journey.

Global University Systems is building a modern AI platform to power how our universities recruit, teach, support, and serve students. The Director of AI will lead this transformation, turning promising ideas into production-grade AI solutions that create real value for students and staff. This role owns the AI roadmap end-to-end: from identifying high-impact use cases, to running rapid experiments, to scaling successful solutions across multiple Higher Education Institutions. What you'll do: Set vision and strategy Own and continually refine the AI initiatives portfolio and roadmap for the group. Run a structured intake process for new ideas, assessing value, feasibility, data readiness, ethical risk, and compliance. Define clear success measures for every proof of concept (PoC) and MVP, including KPIs, leading indicators, and decision gates to continue, pivot, or stop. Lead PoCs and MVPs Run time-boxed PoCs (2-8 weeks) and MVPs (8-16 weeks) using Agile methods (Scrum or Kanban) with regular demos and retrospectives. Build and lead cross-functional squads including Product Owner, Data Scientists, ML Engineers, Integration Engineers, Solution Architect, and domain experts from Admissions, Registry and Student Services. Design experiments, test hypotheses, and iterate quickly, ensuring human-in-the-loop for critical decisions such as admissions triage or student risk flagging. Embed Responsible AI practices from the start, including bias assessment, explainability, accessibility, documentation, and impact assessments tailored to higher education. Scale platforms and solutions Take validated MVPs into production with robust architecture, integration patterns, security controls, SLAs, and operational runbooks. Establish MLOps across the university environment, including model registry, CI/CD for ML, feature stores, monitoring for drift, and retraining policies. Build reusable AI platform capabilities (e.g., orchestration, RAG services, prompt safety, connectors) that support multiple domains such as: Recruitment & Admissions: enquiry triage, lead scoring, document extraction, and decision support. Student Records & Registry: data quality checks, anomaly detection, and predictive alerts for progression and retention. Timetabling & Operations: demand forecasting, optimization support, and conflict detection. Teaching & Learning: content summarization, tutoring assistants, accessibility tools, and feedback synthesis respecting academic integrity. Student Support & Wellbeing: intelligent case routing, early warning signals, and proactive nudges designed with strong ethics and safeguarding. Research Administration: grant discovery, compliance support, and metadata enrichment. Coordinate integrations with core systems including SIS (e.g., Banner, Workday Student), LMS/VLE (Moodle, Canvas), CRM (Salesforce), library systems, HR/Finance (ERP), and identity platforms (e.g., Azure AD). Govern AI responsibly Implement a practical AI governance framework that includes a use case register, risk scoring, impact assessments, model documentation, and audit trails. Ensure compliance with GDPR, accessibility standards (e.g., WCAG), information security policies, and emerging AI regulations. Define and enforce guardrails for data and GenAI use: data access controls, PII handling, prompt/data leakage prevention, and content moderation. Drive adoption and change Partner with Deans, Registry, Admissions, Student Services, IT, Legal and other stakeholders to align on priorities and rollout plans. Communicate progress through clear dashboards and storytelling, highlighting wins and lessons learned to build momentum. Prepare teams and students for AI adoption with training, standard operating procedures, ethical use guidelines, and tailored communications. Manage vendors and financials Lead RFPs and SOWs for AI vendors, data providers, and implementation partners, including evaluation of cost, performance, and scalability. Track and optimize cloud and AI platform spend, balancing cost with value; negotiate campus-wide licensing where beneficial. What you bring: Education Bachelor's or Master's degree in Data Science, Computer Science, Business Analytics, or a related discipline. Knowledge and skills Product and outcome mindset: frames problems as hypotheses, focuses on measurable impact, and is willing to stop or pivot when evidence is weak. Delivery excellence: strong Agile practices, risk-based planning, and disciplined stage-gates from idea to production. Technical fluency: able to bridge data science, engineering, security, and business stakeholders, and make informed technical decisions. Responsible AI and data literacy: understands and embeds ethics, privacy, and accessibility by design. Change leadership: confident working across diverse academic and professional services communities to drive adoption. Experience with major cloud and AI stacks such as Azure OpenAI / OpenAI, Azure ML, Databricks, Kubernetes, and Docker. Familiarity with data platforms such as Azure Data Lake, Synapse/ADF, Delta Lake, and messaging platforms (e.g., event hubs, service bus). Exposure to MLOps and observability tools (e.g., MLflow/model registry, GitHub Actions, Prometheus/Grafana, Evidently AI). Knowledge of integrating with SIS (Banner/Workday Student), LMS (Moodle/Canvas), CRM (Salesforce), ERP (Oracle/Workday), and IdP (Azure AD). Comfort with collaboration and reporting tools such as Jira/Azure Boards, Confluence, and Power BI. Experience 6+ years in IT delivery, product, or program leadership roles, including at least 3 years leading AI/ML or advanced analytics initiatives end-to-end. Proven track record running Agile PoCs and MVPs and scaling them into production within complex organizations. Strong understanding of AI/ML techniques (e.g., classification, NLP, GenAI, RAG, prompt engineering), data pipelines, APIs, and microservices. Hands-on experience with cloud platforms (Azure preferred; AWS or GCP also valued) and MLOps tools (e.g., MLflow, Azure ML, Databricks, SageMaker or Vertex) plus observability practices. Familiarity with higher education processes and integrations across SIS, LMS, CRM, and ERP environments. Knowledge of data privacy, accessibility, security, and Responsible AI in academic or similarly regulated contexts. Excellent stakeholder communication skills with the ability to translate technical topics into clear outcomes for non-technical audiences. Experience designing or operating an AI platform or shared AI services used across multiple domains or business units. Hands-on work with vector databases and retrieval pipelines (e.g., Azure AI Search, Pinecone) and guardrails for GenAI. Background in enterprise architecture and integration patterns (event-driven, REST, GraphQL). Relevant certifications such as Agile/Scrum (PSM/CSM), Azure AI Engineer/DP-100, PMI-ACP/SAFe, or security/privacy certifications. If you are excited by the opportunity to shape the future of AI in higher education and deliver impact at scale, we encourage you to apply and join us on this journey.

We at TFP, are looking for brilliant minds and passionate hearts to help us shape the future of fertility. We are one of the largest fertility service providers in Europe operating our IVF clinics and egg/sperm freezing banks in the UK, Poland and Netherlands. We have embarked on the mission to use technology to provide patients with a memorable best-in-class fertility journey that leads to the best outcome - starting a family! At TFP, we offer all our patients the care, understanding and expertise that help to bring dreams to life. We are passionate about what we do, which reflects our commitment to creating lives and changing lives. Science research and innovation are key to how we work and have led to us pioneering fertility treatment for more than 35 years. Many of our clinicians are internationally renowned specialists and we regularly share knowledge across our clinics to further improve our success. TFP has a national donor sperm bank, its own quality assurance scheme and own training scheme for junior embryologists. In addition, we are proud to say that we offer a clear & bespoke career framework, support continuing professional development and provide opportunities for staff to travel to other TFP clinics further their learning and support career progression. The Role: This is an exciting opportunity for a trained Embryologist to join our team of highly skilled and dedicated scientists. As well as providing a significant contribution to the clinical workload, the successful candidate will have opportunities to be involved in training junior embryologists, internal quality control, donor recruitment, organising imports/exports and supporting in the management of stored gametes/embryos. This is a full time position working 37.5 hour per week There will be on-call and weekend working required on a rotational basis This position is available as a 12 month fixed term contract The Location: Wessex Fertility was established in 1992 and is one of the UK's longest standing IVF clinics. Due to the passion, expertise and reputation of our team, the clinic has grown into a leading fertility clinic and offers a full suite of treatment and diagnostic services, including PGT. Providing treatment to both NHS and private patients, Wessex Fertility performs approximately 500 fresh cycles and 400 frozen cycles per year. Conveniently located on the outskirts of Southampton, adjacent to junction 3 of the M271, there is ample free parking for staff and patients around the building. Our laboratory is equipped with the latest equipment and monitoring systems that support us in achieving excellent outcome KPI's. Wessex Fertility also has a 5/5 inspection rating from the HFEA. Key Responsibilities: Clinical Skills: Perform standard embryology & andrology procedures (e.g., semen analysis, oocyte collection, ICSI, embryo transfer, cryopreservation). Recruit, select, and screen gamete donors following national regulations and TFP policies. Ensure adherence to TFP Laboratory SOPs in all procedures. Communicate treatment results and options to patients. Obtain patient consent and accurately document cycle details in the management system. Perform witnessing & traceability in line with regulations. Assist in cryostore & gas cylinder maintenance, equipment quality control, and lab cleaning. Quality Management: Acknowledge and read lab documents (SOPs, policies, risk assessments). Raise non-conformities and notify Lab Manager. Participate in quality control & assurance activities. Monitor KPI data and personal performance. Follow Health & Safety guidelines and use PPE appropriately. Resource Management: Monitor lab equipment and stock levels. Induction, Training & Performance Management: Assist in training junior staff under Lab Manager's guidance. Engage in continuous professional development. Regulatory Compliance: Adhere to national regulations, professional guidelines, and TFP policies. Ensure proper witnessing & traceability of lab processes. Maintain cryostore and ensure consent in line with regulatory requirements. Transport gametes/embryos in accordance with regulations. Participate in research projects as needed. Communication: Attend lab/clinic meetings as directed by Lab Manager. Ensure effective communication with other departments and TFP. Participate in patient information events and represent TFP at industry conferences. Confidentiality: Maintain confidentiality in line with data protection legislation. Qualifications and Experience: Essential Degree in Life Science State Registered/Nationally Registered Scientist (or immediately eligible to apply) Minimum of 3 years clinical experience Full knowledge of the biology and scientific evidence underpinning clinical embryology practice Full knowledge of the work of related disciplines Full knowledge of prevailing national legislation Experience of performing quality control and participating in quality assurance Flexible and self-motivated High level of resilience High level of attention to detail Excellent communication skills Excellent time management/prioritisation skills Right to work in the country of application Satisfactory criminal record checks Desirable MSc or PhD in Life Science ESHRE Certificate PGT Experience Salary: Competitive (Depending on experience) Location: TFP Wessex Fertility Hours of work: 37.5 hours per week 08.00-16.00hrs Weekend Working at approximately a 1:4 (renumerated with TOIL/overtime) On-Call: Working approximately a 1:4 in coordination with your weekend (remunerated with a daily rate of pay in addition to your basic salary) Pension: Dual contribution pension scheme Holiday Entitlement: 27 Days + Bank holidays pro rata

Data Science Manager page is loaded Data Science Managerremote type: Hybridlocations: Belfast - 20 Adelaide Streetposted on: Posted Todayjob requisition id: JR-Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation and navigate constant change. Through a combination of strategy, expertise and creativity, we help clients accelerate operational, digital and cultural transformation, enabling the change they need to own their future. Join our team as the expert you are now and create your future. Data Science Manager We're seeking a Data Science Manager to join the Data Science & Machine Learning team in our Commercial Digital practice, where you'll lead advanced analytics initiatives that transform how Fortune 500 companies make decisions across Financial Services, Manufacturing, Energy & Utilities, and other commercial industries.Managers play a vibrant, integral role at Huron. Their invaluable knowledge reflects in the projects they manage and the teams they lead. Known for building long-standing partnerships with clients, they collaborate with colleagues to solve their most important challenges. Our Managers also spend significant time mentoring junior staff on the engagement team-sharing expertise, feedback, and encouragement. This promotes a culture of respect, unity, collaboration, and personal achievement.This isn't a reporting role or a dashboard factory-you'll own the full analytics lifecycle from hypothesis formulation through insight delivery, while leading and developing a team of data scientists and analysts. You'll work on problems that matter: experimental designs that validate multi-million-dollar strategies, predictive models that surface hidden patterns in complex data, and deep learning pipelines that extract signal from unstructured text, images, and time-series. Our clients are Fortune 500 companies looking for partners who can find the signal in the noise and tell the story that drives action.The variety is real. In your first year, you might lead a customer segmentation and lifetime value analysis for a financial services firm, design and analyze a pricing experiment for a global manufacturer, and build an agentic anomaly detection system for a utility company's operational data-all while developing the next generation of data science talent at Huron. If you thrive on rigorous analysis, clear communication of complex findings, and building high-performing teams, this role is for you.# What You'll Do Lead and mentor junior data scientists and analysts -provide technical guidance, review analytical approaches and code, and support professional development. Foster a culture of intellectual curiosity, rigorous methodology, and clear communication within the team. Manage complex multi-workstream analytics projects -oversee project planning, resource allocation, and delivery timelines. Ensure analyses meet quality standards and client expectations while maintaining methodological rigor. Design and execute end-to-end data science workflows -from problem framing and hypothesis development through exploratory analysis, modeling, validation, and insight delivery. Own the analytical approach and ensure conclusions are defensible. Lead development of both traditional statistical and modern AI-powered analyses -including regression, classification, clustering, causal inference, A/B testing, and modern deep learning approaches using embeddings, transformer architectures, and foundation models for text, time-series, and multimodal analysis. Build predictive and prescriptive models that drive business decisions-customer segmentation, churn prediction, demand forecasting, pricing optimization, risk scoring, and operational efficiency analysis for commercial enterprises. Translate complex analytical findings into actionable insights -create compelling data narratives, develop executive-ready presentations, and communicate technical results to non-technical stakeholders in ways that drive decisions. Serve as a trusted advisor to clients -build long-standing partnerships, deeply understand business problems, formulate the right analytical questions, and deliver insights that create measurable value. Contribute to practice development -participate in business development activities, develop reusable analytical frameworks and methodologies, and help shape the technical direction of Huron's DSML capabilities.# Required Qualifications 5+ years of hands-on experience conducting data science and advanced analytics -not just ad-hoc analysis, but structured analytical projects that drove business decisions. You've framed problems, developed hypotheses, analyzed data, and delivered insights that created measurable impact. Experience leading and developing technical teams -including coaching, mentorship, methodology review, and performance management. Demonstrated ability to build high-performing teams and develop junior talent. Strong Python and SQL programming skills with deep experience in the data science ecosystem (Pandas, NumPy, Scikit-learn, statsmodels, visualization libraries). Comfortable writing production-quality code, not just notebooks. Solid foundation in statistics and machine learning : hypothesis testing, regression analysis, classification, clustering, experimental design, causal inference, and understanding of when different approaches are appropriate for different questions. Experience with deep learning and modern neural architectures -understanding of transformer models, embeddings, transfer learning, and how to leverage foundation models for analytical tasks. You know when ML approaches add value over classical methods, and how to integrate them into rigorous analytical workflows. Proficiency with data platforms : Microsoft Fabric, Snowflake, Databricks, or similar cloud analytics environments. You're comfortable working with large datasets and can optimize queries for performance. Exceptional communication and data storytelling skills -ability to distill complex analyses into clear narratives, create compelling visualizations, lead client meetings, and build trusted relationships with executive audiences. This is non-negotiable. Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or related quantitative field (or equivalent practical experience). Flexibility to work in a hybrid model with periodic travel to client sites as needed.# Preferred Qualifications Experience in Financial Services, Manufacturing, or Energy & Utilities industries. Background in experimental design, A/B testing, and causal inference methodologies-including propensity score matching, difference-in-differences, or instrumental variables. Hands-on experience with deep learning frameworks (PyTorch, TensorFlow) and neural architectures-including transformers, attention mechanisms, and fine-tuning pretrained models for NLP, time-series, or tabular data applications. Experience building AI-assisted analytical workflows-leveraging foundation model APIs, vector databases, and retrieval systems to accelerate insight extraction from unstructured data. Experience with Bayesian methods, probabilistic programming (PyMC, NumPyro, etc.), or uncertainty quantification in business contexts. Strong visualization and data interface design and development skills using programmatic visualization libraries (Plotly, Altair, D3). Proficiency with AI-assisted rapid data application development using Cursor, Lovable, v0, etc. Experience with time-series analysis, forecasting methods (ARIMA, Prophet, neural forecasting), and demand planning applications. Cloud certifications (Azure Data Scientist, Databricks ML Associate, AWS ML Specialty). Consulting experience or demonstrated ability to work across multiple domains and adapt quickly to new

About Unilabs Unilabs is one of Europe's largest diagnostic providers, offering laboratory, imaging, and pathology services. Through our CARE BIG philosophy, we aim to advance diagnostic expertise globally, supporting clinicians and patients with timely, high quality results. This role is based in Unilabs UK, supporting Tissue Sciences, Blood Sciences, and Infection Sciences, at sites in Euston and Cavendish Street, London. Laboratories are fully computerised and UKAS ISO15189:2022 accredited, with established training programmes and regulatory compliance. Job Summary Reporting to the Operations Director, the post holder will lead the Health & Safety (H&S) and Training Management Systems across the laboratory, supporting operational and service managers. This includes: Coordinating and recording all internal and external H&S activities and inspections. Setting objectives and supporting staff in H&S and training processes. Ensuring compliance with IBMS, HCPC, ISO 15189:2022, HSE, HTA, and MHRA standards. Leading the continuous improvement of H&S and training processes. Key Relationships Works closely with: Biomedical Scientists (BMS) Quality Manager & Quality Leads H&S and Training Leads Operational and Service Managers Laboratory staff across all levels Duties & Responsibilities Health & Safety Lead H&S implementation and system development across departments. Support H&S leads and oversee scheduled H&S activities and audits (e.g., spillage drills, DSE, ergonomics). Maintain up-to-date risk assessments, COSHH, and personal evacuation processes (PEEP). Coordinate and record external regulatory inspections. Chair H&S meetings, ensuring accurate minutes and timely follow up actions. Contribute to global H&S initiatives and annual management reviews. Training Support and develop Training Leads; coordinate induction, education, and professional development. Monitor training performance and oversee H&S components of staff induction. Chair monthly Training & H&S meetings; ensure accurate records and follow up. Maintain departmental training policies, competency assessments, and IBMS portfolios. Ensure alignment with HCPC registration requirements and CPD activities. Performance & Management Maintain high standards of work and service efficiency. Support Operations and Service Managers to meet laboratory TATs. Conduct staff appraisals and performance reviews. Develop SOPs and working practices, supporting change management initiatives. Ensure compliance with internal/external quality assurance and accreditation schemes. Laboratory Informatics Ensure safe, secure, and confidential processing of patient and laboratory information. Use LIMS according to authorised protocols, maintaining database integrity. Communication & Relationship Skills Demonstrate courtesy, sensitivity, and professionalism with staff, patients, and service users. Promote good practice and teamwork across departments. Contribute to departmental meetings and communications effectively. Essential: BSc (Hons) Biomedical Science or equivalent MSc Biomedical Science or related subject IBMS Membership / Chartered Scientist HCPC Registration Evidence of continuing professional development IOSH qualification Desirable: Postgraduate management qualification or higher technical qualification NEBOSH qualification Experience Essential: Minimum 5 years' experience as Senior BMS / Training Officer IBMS Verifier and Examiner for registration / specialist portfolio Skills & Abilities Autonomous workload management and problem solving Highly specialised scientific knowledge Staff development and motivation Project management and H&S / Training system leadership Organisation, supervision, and deadline achievement Accuracy, attention to detail, and ability to handle complex information Competence in Microsoft Word, Excel, and Q pulse Desirable: Handling difficult situations and sensitive matters Empathy with patients and staff Communication Skills Effective listening and verbal/written communication Ability to work within multi disciplinary teams GDPR compliance Other Requirements Maintain patient confidentiality Responsible, mature approach Able to perform light physical work

Remote based Reporting Line - CTO Direct Reports - None Key Stakeholder Relationships - Product owners, software developers, testers, delivery managers, professional services teams, and technical architects Role Purpose Working as part of an Agile technology team within a fast growing SaaS organisation, the Data Specialist / Data Scientist will be responsible for designing, developing, and deploying da click apply for full job details

Salary for this Role: Competitive with benefits, subject to skills and experience Job Title: Strategic Business Development Lead Reports to: Donna Hackett Closing Date: 02/Feb/.59 GMT Job Description: # Strategic Business Development Lead (Known internally as Senior Business Manager) Reporting to: Head of Business DevelopmentContract term: This is a full-time permanent position on Crick terms and conditions of employment. Details of the role: Working pattern: Monday - Friday. This is a full-time permanent position on Crick terms and conditions of employment.Application closing date: Monday 2nd February 2026The Francis Crick Institute is Europe's largest biomedical research institute under one roof. Our world-class scientists and staff collaborate on vital research to help prevent, diagnose and treat illnesses such as cancer, heart disease, infectious diseases and neurodegenerative conditions.The Crick is a place for collaboration, innovation and exploration across many disciplines. A space where the brightest minds can pursue big and bold ideas and discover answers to crucial scientific questions. We support them in a dynamic environment which fosters excellence with state-of-the-art infrastructure, cutting-edge facilities, and a creative and curious culture. We've removed traditional boundaries of departments, divisions and disciplines and instead have an open approach that supports every researcher. This gives us the freedom to take risks and carry out high-quality, pioneering research. Creating a space for discovery without boundaries helps us to turn our science into benefits for human health and the economy. About the role The Crick Innovation and Business team has been created to establish an expanded translational and commercial offering from the Crick. There are four core functions: Translation & Entrepreneurship, Commercial Portfolio, Business Development and Business Operations.The Business Development team is responsible for driving the development and execution of the Crick's translation and commercial activity. This involves identifying partners for different translational and commercial opportunities, negotiating and concluding optimal deals and post-signature management to ensure delivery of such agreements.We are seeking a Strategic Business Development Lead (known internally as Senior Business Manager) with demonstrated expertise in innovation, commercialisation, intellectual property (IP), and due diligence to join this team.Working closely with the Head of Business Development and the Business Development team, you will ensure appropriate identification, negotiation, conclusion and post-signature management of deals that further the Crick strategy, while protecting the charitable objectives.You will be a commercially driven professional with a strong track record in opportunity assessment, licensing, and contract negotiation within the life sciences and pharmaceutical sectors. Highly skilled in stakeholder management across academic and commercial settings, you will be equipped with quantitative capabilities to support financial modelling and commercial evaluations.You will possess a background in bioscience or a related discipline and/or equivalent experience and be experienced in establishing spin-out companies and partnering in the biomedical field and potentially incubator deals. Crucially you will have a dynamic and proactive energy that truly engages stakeholder and embeds relationships to unlock exciting opportunities. What you will be doing As a Strategic Business Development Lead at the Crick, you will: Negotiate and secure deals, including undertaking the development and execution of the Crick's translation and commercial activity Deliver market, competitor and financial analyses to support commercialisation of the translational pipeline and development of the overall commercial portfolio Provide commercial and translational portfolio analysis (including resourcing and forecasting) across all Business Office team functions Produce insight and analysis outputs, including reports, briefings, presentations, recommendations and analytics/data visualisation Secure next stage investment for translational projects and spin-outs emerging from Crick research Work with the Business Office Operations team to ensure the collection and maintenance of appropriate and accurate commercial data and information About you You will have: Strong liaison and negotiation skills with the ability to respond appropriately, confidently and sensitively in relation to academic and commercial partners/clients Extensive experience of technology/opportunity assessment, marketing and licensing, as well as legal and technical aspects of contract, collaboration, licensing and corporate agreements. This needs to be evidenced through a deal sheet. An extensive network in the investment, pharmaceutical and biotech industry, gained through experience of working in or with such sector. Highly organised with comprehensive experience of working in a demanding environment, either academia or industry. Demonstrating the ability to command the confidence of all those reliant on the effective delivery Strong analytical skills with the ability to interpret and explain concepts clearly Undergraduate degree in bioscience or related discipline, or equivalent experience Minimum Requirement About Working at the Crick Our values Everyone who works at the Crick has a valuable role to play in advancing the Crick's mission and shaping our culture We are bold . We make space for creative, dynamic and imaginative ideas and approaches. We're not afraid to do things differently. We are open . We're highly collaborative and interactive, and make sure our activities are visible to the outside world. We are collegial . We show respect for one another, work cooperatively and support the wider community.At the Francis Crick Institute, we believe that diversity and inclusion are essential to driving innovation and scientific discovery. We are committed to creating a workplace where everyone feels valued, respected, and empowered to succeed, regardless of their background, identity, or personal circumstances. We actively encourage applications from individuals of all genders, ethnicities, abilities, and experiences. We are a Disability Confident: Committed employer and want to ensure that everyone can apply and be part of our recruitment processes and so we'll make reasonable adjustments if you need them - just let us know when you apply. If you need assistance with applying (i.e., would like to apply by phone or post)please email: the Francis Crick Institute, we value our team members and are proud to offer an extensive range of benefits to support their well-being and development: Generous Leave : 28 days of annual leave, plus three additional days over Christmas and bank holidays. Pension Scheme : Defined contribution pension with employer contributions of up to 16%. Health & Well-being : 24/7 GP consultation services. Occupational health services and mental health support programs. Eye care vouchers and discounted healthcare plans. Work-Life Balance : Back-up care for dependents. Childcare support allowance. Annual leave purchase options. Crick Networks offering diverse groups' support, community and inclusive social events. Perks : Discounted gym memberships, bike-to-work scheme, and shopping discounts. Subsidised on-site restaurant and social spaces for team interaction. Please note you must meet the essential criteria listed within the Role Profile, to have your application reviewed. We reserve the right to withdraw this advert at any given time due to the number of applications received.

About Unilabs Unilabs is one of Europe's largest diagnostic providers, offering laboratory, imaging, and pathology services. Through our CARE BIG philosophy, we aim to advance diagnostic expertise globally, supporting clinicians and patients with timely, high quality results. This role is based in Unilabs UK, supporting Tissue Sciences, Blood Sciences, and Infection Sciences, at sites in Euston and Cavendish Street, London. Laboratories are fully computerised and UKAS ISO15189:2022 accredited, with established training programmes and regulatory compliance. Job Summary Reporting to the Operations Director, the post holder will lead the Health & Safety (H&S) and Training Management Systems across the laboratory, supporting operational and service managers. This includes: Coordinating and recording all internal and external H&S activities and inspections. Setting objectives and supporting staff in H&S and training processes. Ensuring compliance with IBMS, HCPC, ISO 15189:2022, HSE, HTA, and MHRA standards. Leading the continuous improvement of H&S and training processes. Key Relationships Works closely with: Biomedical Scientists (BMS) Quality Manager & Quality Leads H&S and Training Leads Operational and Service Managers Laboratory staff across all levels Duties & Responsibilities Health & Safety Lead H&S implementation and system development across departments. Support H&S leads and oversee scheduled H&S activities and audits (e.g., spillage drills, DSE, ergonomics). Maintain up-to-date risk assessments, COSHH, and personal evacuation processes (PEEP). Coordinate and record external regulatory inspections. Chair H&S meetings, ensuring accurate minutes and timely follow up actions. Contribute to global H&S initiatives and annual management reviews. Training Support and develop Training Leads; coordinate induction, education, and professional development. Monitor training performance and oversee H&S components of staff induction. Chair monthly Training & H&S meetings; ensure accurate records and follow up. Maintain departmental training policies, competency assessments, and IBMS portfolios. Ensure alignment with HCPC registration requirements and CPD activities. Performance & Management Maintain high standards of work and service efficiency. Support Operations and Service Managers to meet laboratory TATs. Conduct staff appraisals and performance reviews. Develop SOPs and working practices, supporting change management initiatives. Ensure compliance with internal/external quality assurance and accreditation schemes. Laboratory Informatics Ensure safe, secure, and confidential processing of patient and laboratory information. Use LIMS according to authorised protocols, maintaining database integrity. Communication & Relationship Skills Demonstrate courtesy, sensitivity, and professionalism with staff, patients, and service users. Promote good practice and teamwork across departments. Contribute to departmental meetings and communications effectively. Essential: BSc (Hons) Biomedical Science or equivalent MSc Biomedical Science or related subject IBMS Membership / Chartered Scientist HCPC Registration Evidence of continuing professional development IOSH qualification Desirable: Postgraduate management qualification or higher technical qualification NEBOSH qualification Experience Essential: Minimum 5 years' experience as Senior BMS / Training Officer IBMS Verifier and Examiner for registration / specialist portfolio Skills & Abilities Autonomous workload management and problem solving Highly specialised scientific knowledge Staff development and motivation Project management and H&S / Training system leadership Organisation, supervision, and deadline achievement Accuracy, attention to detail, and ability to handle complex information Competence in Microsoft Word, Excel, and Q pulse Desirable: Handling difficult situations and sensitive matters Empathy with patients and staff Communication Skills Effective listening and verbal/written communication Ability to work within multi disciplinary teams GDPR compliance Other Requirements Maintain patient confidentiality Responsible, mature approach Able to perform light physical work

At the Ellison Institute of Technology (EIT), we're on a mission to translate scientific discovery into real world impact. We bring together visionary scientists, technologists, policy makers, and entrepreneurs to tackle humanity's greatest challenges in four transformative areas: Health, Medical Science & Generative Biology Food Security & Sustainable Agriculture Climate Change & Managing CO Artificial Intelligence & Robotics This is ambitious work - work that demands curiosity, courage, and a relentless drive to make a difference. At EIT, you'll join a community built on excellence, innovation, tenacity, trust, and collaboration, where bold ideas become real-world breakthroughs. Together, we push boundaries, embrace complexity, and create solutions to scale ideas from the lab to society. Explore more at . Welcome to the Institute of Materials & Devices for Life Sciences (MDLS) The vision for the Institute of Materials & Devices for Life Sciences (MDLS) at the Ellison Institute of Technology is to advance human health by scaling interdisciplinary science at the interface of chemistry, biology and engineering. Led by Professor Hagan Bayley, it will house more than 100 researchers engaging in three interrelated endeavors: Nanopore Sensing and Sequencing, 3D Tissue Construction, and Device Engineering. The MDLS Institute will expand nanopore science to detect a wider range of biological molecules, including volatiles in human breath. While in parallel, pioneering novel methods that integrate synthetic and living tissues into structures for organ repair. All the research will be underpinned by the development of new devices capable of serving as powerful tools in clinical settings. Laboratory Manager Role EIT is seeking an organised and experienced Laboratory Manager to lead operational, technical, and compliance functions for a rapidly expanding MDLS research laboratory. This pivotal role covers all aspects of facility management, safety compliance, workflow optimisation, and resource allocation, ensuring seamless support for cutting edge scientific research. The successful candidate will drive rigorous quality assurance across Nanopore science, Tissue Construction, and device engineering, acting as the primary liaison between MDLS research teams and EIT facilities, procurement, quality, and H&S teams. Responsibilities include SOP development, space management, inventory oversight, and audit readiness, enabling scientific excellence, operational resilience, and scalability in a dynamic, mission driven environment. A solid understanding of Nanopore, Tissue Construction, and device engineering is essential. Key Responsibilities Facility Management Oversee daily facilities of the laboratories, ensuring efficient workflow and adherence to the quality standards specifically required for the MDLS Institute. Implement and enforce laboratory safety procedures, ensuring compliance with regulatory requirements. Manage training, mentoring, of MDLS researchers to ensure researchers are operating compliantly across all workflows and procedures. Monitor lab conditions, including temperature, humidity, and air quality, to ensure that they meet the specifications required for operations. Work closely with scientific leadership to understand research objectives and adapt laboratory operations to support evolving needs. Serve as the key point of contact for the central EIT facilities team and provide updates on equipment, facilities, and operational issues, suggesting improvements or modifications for consideration. Equipment Management Work with MDLS researchers and the EIT procurement specialist to ensure the laboratory is properly maintained and organised, with all equipment, consumables, and reagents available for research projects including inventories and COSHH assessments. Oversee the set up of laboratory facilities and work with Lab Technicians and Lab staff to ensure these protocols are maintained, including cleanliness, accident reporting procedures, signage for biohazards. Work with team members to ensure that all logs and systems for overseeing the maintenance equipment and instruments are in place, and appropriate reporting mechanisms are in place for the MDLS. Oversee maintenance, calibration, and troubleshooting of laboratory equipment. Work with external vendors and service providers to maintain or repair laboratory equipment as needed. Maintain communication with research teams, establishing a scheduling system for shared facility and equipment access. Ensure improvements are identified to manage scheduling conflicts when facility restrictions are identified. Operational Support Develop and implement Standard Operating Procedures (SOPs) for relevant laboratory processes, ensuring consistency and compliance with quality standards. Maintain an up to date library of specialist risk assessment forms and COSHH forms for all relevant lab substances and ensure regular monitoring, review, and updates as needed. Troubleshoot technical and operational issues in workflows and implement solutions to prevent delays in project timelines. Manage access and user training of equipment, including establishment of appropriate training procedures for new users. Optimise laboratory space and equipment usage to support the work of a rapidly growing research team while maintaining flexibility for diverse research projects. Oversee effective and compliant waste management processes for the MDLS. Inventory and Supply Chain Management Working alongside the technical procurement specialist, laboratory technicians and relevant finance departments, manage inventory levels for laboratory consumables, reagents, and critical supplies, ensuring uninterrupted operations. Track and maintain proper documentation of inventory and ensure the timely ordering of supplies to avoid stockouts or delays. Maintain a system for tracking the usage, storage, and disposal of hazardous materials, ensuring safety and regulatory compliance. Quality Assurance and Compliance Oversee compliance with relevant safety, regulatory, and quality standards in all aspects of laboratory operations. Induction and protocol development for MDLS lab compliance areas. Implement and maintain quality control (QC) processes for relevant processing workflows, ensuring high accuracy and reproducibility of results. Participate in internal and external audits and inspections, ensuring the lab meets all compliance requirements. Ensure proper documentation of processes, workflows, and sample handling procedures in accordance with regulatory requirements. Designated person for HumanTissue Authority (HTA) license, and sample workflow mapping and protocols to prepare labs for license. Essential Knowledge, Skills and Experience Educated to a minimum of BSc up to PhD in a relevant field. At least 5 years of experience working in a laboratory environment, with a minimum of 2 years in a management or supervisory role. Familiarity with laboratory safety protocols, regulatory requirements, and quality management systems. Familiar with biosafety across tissue engineering/biological/chemistry research (e.g., Chemicals/radioactivity/lasers). Key Attributes Strong leadership and team management skills, with the ability to motivate and manage a diverse group of laboratory professionals. Excellent problem solving and troubleshooting skills in a high tech laboratory environment. Strong organisational skills, with an ability to manage multiple projects and priorities. In depth knowledge of laboratory operations, including equipment maintenance, safety, and regulatory compliance. Proficiency in laboratory management software, inventory systems, and data tracking tools. Effective communication skills, with the ability to work collaboratively across multidisciplinary teams. Detail oriented with strong analytical and critical thinking skills. Ability to work in a fast paced, high pressure environment with a flexible, solutions oriented mindset. Strong commitment to maintaining a safe, efficient, and compliant laboratory environment. Our Benefits Enhanced holiday pay Pension Life Assurance Income Protection Private Medical Insurance Hospital Cash Plan Therapy Services Perk Box Electric Car Scheme Working Together - What It Involves You must have the right to work permanently in the UK with a willingness to travel as necessary. You will live in, or within easy commuting distance of, Oxford. NB: the above are both optional based on the role being recruited for

Senior Scientist - Data Science for Simulation We're looking for an exceptional Senior Scientist - Data Science for Simulation to help us make a difference to our planet. As our Senior Scientist - Data Science for Simulation, the job may be suitable for hybrid working, which is where an employee works part of the week in the office and part of the week from home. This is a voluntary, non contractual arrangement and the location advertised will be your contractual place of work. Our opportunity is full time, 37 hours per week, but we would also consider applicants wishing to work a minimum of 30 hours per week and we will also try our best to consider those intending to work a jobshare. Our people are at the heart of what we do and we'll do our best to agree a working pattern that works for everyone. World changing work From science to technology, from meteorology to management, and from planning to communication, our expertise helps us stand out as the authority on weather accuracy and climate prediction. We help individuals, industries and government to make better decisions to stay safe and thrive. This is the Met Office. This is who we are. We're a force for good - focusing on our environmental and social impact We're experts by nature - always learning and developing to do things better We live and breathe it - putting our purpose at the heart of decision making We're better together - understanding partnerships and inclusivity make us greater We keep evolving - pushing boundaries to make tomorrow better for our customers Your world of expertise You will contribute to research and development in artificial intelligence and machine learning for weather and climate modelling, with an initial focus on advancing the FastNet Machine Learning Weather Prediction model. This work is part of the Artificial Intelligence for Numerical Weather Prediction (AI4NWP) project, a flagship Met Office initiative applying advanced machine learning to weather prediction challenges. You will operate within a multidisciplinary team of data scientists, engineers, and domain experts, collaborating closely with internal and external partners - including other National Meteorological Services, research institutions, and commercial organisations. This role offers the opportunity to build expertise in machine learning and data science while developing innovative solutions for weather and climate applications. Lead the scientific development and implementation of machine learning solutions for Earth system applications, with a focus on weather forecasting. Apply software engineering best practices to ensure scientific code is reproducible, scalable, and maintainable; design robust data workflows and optimise advanced machine learning methods for weather and climate data. Communicate research findings through peer reviewed publications and presentations at conferences and seminars. Collaborate with internal and external domain experts, sharing expertise within the broader scientific and research software engineering community. Mentor junior scientists and help shape the strategic direction of the team. Our work is life changing, often life saving and always life enhancing. The Met Office is Great Place to Work UK certified. We are also featured on their 'Best Workplaces in Tech' 2023, 2024 and 2025 lists, as well as their '54 Best Workplaces for Women' 2023 list. As our Senior Scientist - Data Science for Simulation, your total reward package will be up to £60,268 annually, which includes: An outstanding Civil Service pension, with an average employer contribution of 28.97% Annual Leave starting at 27.5 days (plus Bank Holidays) rising to 32.5 days (plus Bank Holidays) after 5 years and option to buy or sell up to 5 days per year of annual leave Essential Criteria, skills and experience Experience in developing machine learning solutions in the atmospheric sciences or related domains. Ability to provide scientific leadership, generate innovative solutions to complex challenges, contribute to strategic planning, and lead the delivery of complex research projects, including leading the work of others. Proficiency in software engineering and knowledge of quality assurance practices. Excellent interpersonal and communication skills, with proven ability to listen actively, discuss complex scientific and/or technical information clearly and effectively with a range of audiences. Experience of working in collaborative, cross disciplinary research environments. Strong organisational skills and ability to work both independently and collaboratively to deliver work on time and aligned with agreed project and organisational objectives. Commitment to ongoing personal professional development and to supporting others in developing theirs, leading to improved outputs and the career development of others. How to apply If you share our values, we'd love to hear from you! Click apply to begin your application. Please complete your career history and provide evidence against each of the essential criteria in the supporting statement questionnaire. We recommend candidates use the CARL method (Context, Action, Result and Learning) for presenting evidence of experience and skills. Closing date 27/01/2026 at 23:59 with interviews commencing from 02/02/2026. You will hear from us once the closing date has passed. Using AI in your application We welcome applications that use AI tools for support in drafting or refining, as long as they accurately reflect your own skills and experience. All hiring decisions at the Met Office are made by people, not AI. For more details, visit our approach to recruitment. How we can help If you have any questions or would like to discuss this opportunity further, please contact us at . If you're considering applying and need support to do so, please get in touch. You can request adjustments either within your application or by contacting us. Should you be offered an interview, please be aware there may be a selection exercise which could include a presentation, written test or a scenario based activity. You can select in your application to be considered under the Disability Confident Scheme. To be invited to interview/assessment under this scheme, your application must meet the essential criteria for the role. Equal opportunities We understand that great minds don't always think alike and as an equal opportunities employer we welcome applications from those with all protected characteristics. We recruit on merit, fairness, and open competition in line with the Civil Service Code. We can only accept applications from those eligible to live and work in the UK - please refer to GOV.UK for information. We require Security clearance, for which you need to have resided in the UK for at least 3 of the last 5 years to be eligible; 2 of these years must be immediately preceding the point of your application. You will need to achieve full security clearance within your first 6 months with us. If you feel that your application has not been treated in accordance with the Recruitment Principles, and wish to make a complaint, then in the first instance you should contact us at: If you are not satisfied with the response that you receive, then you can contact the Civil Service Commission at: . Lifestyle support Whether you wish to utilise our excellent family friendly schemes, be paid up to 3 days for volunteering with your chosen organisation, have the reassurance of a generous sickness pay scheme or be part of an organisation that is happy to pro actively talk about flexible working the Met Office wants you to have a great work and lifestyle balance. Established hybrid working We have bases all over the UK and some roles allow for you to work abroad so there is the option to travel for work also, we have established amazing hybrid working practices across all of our offices and have enhanced technology to enable office and home based meetings. We work with employees to agree on a suitable working pattern that works for us both and have various working patterns in place. Investing in your development The world around us is constantly changing. New technologies, shifting climate patterns, artificial intelligence. These factors and more shape the need for us to develop our skills and knowledge as a business and as individuals. Our investment in learning and development is testament to this and we have partnered with external bodies in each profession to help shape the way we develop the incredible talent right across the Met Office. We help everyone to understand their strengths and opportunities and tailor learning programmes that match their career. For us, this is world leading learning and development. Our typical recruitment process Application - Apply through our careers website. Each application will be assessed against the essential criteria detailed in the job advert. We recommend that you use the CARL or STAR method to answer the key questions. Screening - The sift panel will assess all applications against our essential criteria. Our screening process usually takes one to two weeks following the closing date of the advert. After which, we'll be in touch to let you know whether your application has progressed to the next stage. Interview - Most recruitment processes will include a single stage interview, some of which are virtual interviews and some may be in person. Our interviews tend to blend competency questions . click apply for full job details

Our HR team are a passionate group of HR professionals supporting the UK&I regions mix of talented engineers, scientists and functional support staff. We now have an excellent opportunity for a passionate HR Representative / Administrator to join our team on a 12 month Fixed Term Contract (FTC). This role sits alongside other HR team members in our office in central Edinburgh, which is located a short walk from Haymarket Station. The role supports a larger HR team based in Stantec offices throughout the UK. We offer a hybrid working model to give you a good blend of office and home working too. Your role will be to create, maintain and provide information relating to employee data, contracts and employment related records and to ensure that the administrative processes related to the payroll and the employee lifecycle are adhered to. You will process HR administration in line with agreed deadlines, liaising with managers, employees and the wider HR team as well as being the first port of call for the HR helpdesk. On a daily basis, you will input data into multiple HR Information systems (including iTrent and Oracle), spreadsheets and produce reports. You will complete template documents, amend contracts, creating, and issuing appropriate correspondence. You will help coordinate the monthly HR calendar to anticipate work volumes and organise tasks accordingly and in partnership with other team members. An important part of your role will be liaising with HR Colleagues and other departments throughout the UK and around the globe on matters relating to new starter set-ups, HR Data, approvals, validation, and compliance while continuously looking for improved ways of working and offering insight and feedback to the wider team. This represents a fantastic opportunity to work with our established and collaborative HR team within an internationally listed professional services organisation with strong ambitions to continue to grow our UK&I operations. About You You will have proven HR administration or helpdesk experience in a high-volume environment where tasks were deadline-governed and where a high degree of self-organisation and planning were required. A CIPD qualification (Level 3 or above) or similar would be advantageous. You will have strong interpersonal communication skills. You will have experience with the Microsoft Office Suite (skills in Word & PowerPoint, intermediate level expertise in Excel) while experience with Oracle or iTrent would be an advantage. You will have good numerical and analytical skills, strong attention to detail and the ability to work autonomously. Your problem-solving skills will be important. Most of all, your desire to work in a busy administrative role supporting a collaborative HR Team across the UK will be key to your success.

The Distillery, Glassfields 1, 2 Avon Street, Bristol, BS2 0GR, United Kingdom, Bristol BS2 0GR, GB We believe in the power of ingenuity to build a positive human future. As strategies, technologies, and innovation collide, we create opportunity from complexity. Our diverse teams of experts combine innovative thinking and breakthrough technologies to progress further, faster. Our clients adapt and transform, andtogether we achieve enduring results. We are over 4,000 strategists, innovators, designers, consultants, digital experts, scientists, engineers, and technologists. And we have deep expertise in consumer and manufacturing, defence and security, energy and utilities, financial services, government and public services, health and life sciences, andtransport. Our teams operate globally from offices across theUK, Ireland, US, Nordics, and Netherlands. PA. Bringing Ingenuity to Life. Would you like to work with a high-performing team that delivers meaningful and lasting change to it's clients? Our Major Programme Services (MPS) team is looking for exceptional Project Controls/Planning Specialists. As part of PA's Delivery stream, PA's Centre of Excellence for all project, programme, and portfolio capability, MPS works across Defence, major projects & infrastructure, transport, and public sector in client-facing roles on long-term assignments.Having experienced repeated successes in delivering value and excellence for our clients, most of whom are within daily commuting range from home, we are in high demand and are now expanding further across the UK. As a Project Controls/Planning Specialist, you will play a pivotal role in supporting our clients in controlling some of the UK's most complex major programmes. Your expertise in project controls methodologies, tools and applications of best practice will be crucial in delivering successful outcomes for our clients. This role offers an exciting opportunity to work in a collaborative and innovative environment, shaping projects that drive meaningful impact. Location Hybrid working - our approach is to be in the office or on client site a minimum of 2 days per week. However, the actual time you spend and where you spend it will vary by role or assignment, including up to 5 days per week on a client site. Client locations include: Bristol Andover Portsmouth Cardiff Swindon You will have opportunity to: Implement processes covering multiple project controls functions (e.g. scope, schedule, cost, risk, performance reporting). Collect and analyse project data to assess performance against project goals and objectives. Plan, build, maintain, and interrogate resource loaded schedules from first principles (including WBS, PBS, OBS, Basis of Estimates etc) through to Schedule Risk Analysis and management against monthly milestone reporting. Identify and communicate scope changes, schedule slippages and potential impacts as well as supporting the identification of mitigating actions. Ensure trends of cost and schedule are identified, manage the change management process and communicate corrective actions. Drive effective risk management through the identification, assessment, and mitigation of project risks, working collaboratively to ensure proactive and effective management. Lead stakeholder engagement activities, facilitating collaboration and communication among all project participants. Provide mentorship and guidance to junior team members, fostering their professional growth and development. Develop your own project controls expertise even further through a range of on-the-job learning, training and formal qualifications. Qualifications About You Experience in one or more project controls disciplines e.g., planning, scheduling, risk management, cost management, and earned value management. Expertise in applying various project control methodologies and tools (e.g., Microsoft Project, Primavera, Active Risk Manager, Schedule Risk Analysis), adapting them to diverse project contexts. Certification in Project Management or Project Controls (PMQ, PRINCE2, Project Planning and Control etc.) is desirable. Analytical mindset with the ability to identify and solve problems, make informed decisions, and manage project risks effectively. Exceptional communication skills, both written and verbal, with the ability to present complex information to clients and stakeholders in a clear and concise manner. Strong interpersonal skills, enabling successful collaboration with stakeholders across all levels. We know that potential skills-gaps and an expectation to 'need to tick every box' can get in the way of meeting brilliant candidates, so please don't hesitate to apply - we'd love to hear from you. Apply today by completing our online application Additional information Life at PA Life At PA encompasses our peoples' experience at PA. It's about how we enrich peoples' working lives by giving them access to unique people and growth opportunities and purpose led meaningful work. We believe diversity fuels ingenuity. Diversity of thought brings exciting perspectives; diversity of experience brings a wealth of knowledge, and diversity of skills brings the tools we need. When we bring people together with diverse backgrounds, identities, and minds, embracing that difference through an inclusive culture where our people thrive; we unleash the power of diversity - bringing ingenuity to life. We are dedicated to supporting the physical, emotional, social and financial well-being of our people. Check out some of our extensive benefits: Health and lifestyle perks accompanying private healthcare for you and your family 25 days annual leave (plus a bonus half day on Christmas Eve) with the opportunity to buy 5additional days Generous company pension scheme Opportunity to get involved with community and charity-based initiatives Annual performance-based bonus PA share ownership Tax efficient benefits (cycle to work, give as you earn) We recruit, retain, reward and develop our people based solely on their abilities and contributions and without reference to their age, background, disability, genetic information, parental or family status, religion or belief, race, ethnicity, nationality, sex, sexual orientation, gender identity (or expression), political belief veteran status, or other by any other range of human difference brought about by identity and experience. We are on a journey towards ensuring our workforce is diverse at all levels and that our firm is representative of the world around us. We welcome applications from underrepresented groups. Adjustments or accommodations - Should you need any adjustments or accommodations to the recruitment process, at either application or interview, please contact us at:

Head of Data Science Hybrid in London, United Kingdom We're looking for a Head of Data Science You'll lead multiple data science teams whose work guides decision-making across lending, product, operations, and strategy. You'll shape how we work, ensuring that analytical insight directly influences the choices that matter most at iwoca. The company Small businesses move fast. Opportunities often don't wait, and cash flow pressures can appear overnight. To keep going, and growing, SMEs need finance that's as flexible and responsive as they are. That's why we built iwoca. Our smart technology, data science and five-star customer service ensures business owners can act with the speed, confidence and control they need, exactly when it's needed. We've already cleared the way for 100,000 businesses with more than £4 billion in funding. Our passionate team is driven to help even more SMEs succeed, through access to better finance and other services that make running a business easier. Our ultimate mission is to support one million SMEs in their defining moments, creating lasting impact for the communities and economies they drive. The team iwoca's data scientists build probabilistic and statistical models that make lending decisions in real time, support forecasting and shape commercial strategy. Their work is deployed in production code and makes real-time lending decisions; it's more than exploratory analysis. Successfully leading iwoca's data science teams will require close collaboration with engineering, product, and commercial teams. The role As the Head of Data Science, you'll lead a group that focuses on rigorous, interpretable, and commercially useful modelling that is deployed, monitored, and maintained in production. You'll set direction, shape team structure, and ensure the function's work is grounded in commercial context and used by decision-makers across iwoca. The group has approximately 25 data scientists, with most working in a central team and some smaller groups aligned to specific products or domains. You'll report to one of iwoca's co-founders, who is also a data scientist. Strategic direction You'll work with the team leads and senior data scientists who coordinate day-to-day work. You'll help them plan, sequence, and review projects and maintain consistent standards of reasoning, communication, and methodology. You'll help the teams decide where and how to apply their efforts - identifying where modelling adds value and where a lighter heuristic approach could be more effective. Technical and people leadership You'll oversee hiring and development, ensuring assessment, progression, and knowledge-sharing are fair, structured, and suited to a growing multi-team environment. You'll shape how data science is applied at scale - how uncertainty is communicated, how analytical support is allocated, and how the function directs its effort to the highest-value work. Collaboration with engineering and business teams You'll coordinate with Engineering, Product, and Operations teams so that projects are properly scoped, resourced, and aligned with wider priorities. You'll represent the function in discussions that shape lending, risk, and product decisions by explaining assumptions, highlighting risks, and helping senior stakeholders act on analytical insight. The requirements Essential Strategic leadership: You have experience setting data science strategy and aligning work with commercial goals. You can translate technical modelling for senior stakeholders, make assumptions explicit, and shape the decisions that follow. Production experience: You have managed the full lifecycle of models in production - deploying, monitoring, and retiring them. You are comfortable coordinating chains of model dependencies across different teams. Commercial acumen: You understand how modelling supports business decisions and know when to make trade-offs between depth, delivery time, and value. Team development: You have a track record of hiring and developing data scientists, and establishing consistent standards for planning, peer review, and methodology. Technical background: You have a background in probability, statistics, or a related quantitative field such as mathematics or physics and can evaluate analytical work for conceptual soundness. Bonus Experience shaping an R&D or modelling agenda, including probabilistic or long-term forecasting work Experience in domains such as credit risk, lending, or customer lifetime value Experience representing a data science function externally (for example, industry events or publications) The salary We expect to pay from £120,000 to £170,000 for this role. But, we're open-minded, so definitely include your salary goals with your application. We routinely benchmark salaries against market rates, and run quarterly performance and salary reviews. The culture At iwoca, we prioritise a culture of learning, growth, and support, and invest in the professional development of our team members. We value thought and skill diversity, and encourage you to explore new areas of interest to help us innovate and improve our products and services. The offices We put a lot of effort into making iwoca a great place to work: Offices in London, Leeds, Berlin, and Frankfurt with plenty of drinks and snacks. Events and clubs, like bingo, comedy nights, football, etc. The benefits Flexible working hours. Medical insurance from Vitality, including discounted gym membership. A private GP service (separate from Vitality) for you, your partner, and your dependents. 25 days' holiday per year, an extra day off for your birthday, the option to buy or sell an additional five days of annual leave, and unlimited unpaid leave. A one-month, fully paid sabbatical after four years. Instant access to external counselling and therapy sessions for team members that need emotional or mental health support. 3% Pension contributions on total earnings. An employee equity incentive scheme. Generous parental leave and a nursery tax benefit scheme to help you save money. Electric car scheme and cycle to work scheme. Two company retreats a year: we've been to France, Italy, Spain, and further afield. And to make sure we all keep learning, we offer: A learning and development budget for everyone. Company-wide talks with internal and external speakers. Access to learning platforms like Treehouse Useful links iwoca benefits & policies Interview welcome pack.

Senior RWE Scientist (Consultant) Location - London or Winchester with hybrid working available. In-office time as per departmental requirements, currently a MINIMUM of 2 days per week (40%) Our Heath Analytics practice provides analytical and research services for organisations across the life sciences and healthcare industries. Our team brings together clinicians, statisticians, epidemiologists, health economists, bioinformaticians and health data scientists alongside our established actuarial, analytics and technology teams to deliver new solutions to the fundamental challenges in health. Our team's mission is to help move health systems from importers of illness to exporters of health and to support our clients to deliver value to patients. We have developed a track record for leading approaches to real world evidence generation, drug safety, health economic modelling, evidence strategy and market access, growing the team quickly in response to the demand we are seeing for the service offerings we have developed. What's the role and who are we looking for? We are looking for a new team member who can bring a high level of scientific rigor, is motivated to work at the cutting edge of methods and RWE, and is committed to going the extra mile for our clients. You will play a key role in the design, analysis and reporting of studies using real world healthcare data, such as electronic healthcare records, registries and claims databases. We work with data sources from many countries but experience in real world data from the US, UK, major EU markets and Japan is desirable, as is experience of designing or carrying out studies to meet post authorisation regulatory commitments or evaluating risk minimisation measures. This is an excellent opportunity for you to join a dynamic team at an exciting time in its growth and growing international presence. As an experienced hire, you will also have an opportunity to help shape the growth and development of the team. Please note, to be considered for this position, you must have experience in a consulting role or a CRO. Regrettably, applications that are unable to demonstrate this experience will not be considered. Our Health Analytics work: LCP's Health Analytics team works across the healthcare and life sciences markets, combining health expertise with innovative approaches from our work in other sectors to tackle leading health issues. Examples of the types of projects that we undertake for our clients include: Real world evidence studies using electronic healthcare records, registries, biobanks and databases Advanced study designs including external comparator arms and quantitative bias analysis Innovative approaches to identifying and quantifying unmet need and inequalities Studies addressing post authorisation regulatory commitments and other analyses supporting health authority questions What will you be doing? As a Consultant in LCP's Health Analytics team you will be involved in a diverse range of projects, covering both client and non-client work. Your key responsibilities will be to: Demonstrate a very high level of expertise in real world evidence Lead aspects of the design and delivery of RWE studies, with your contribution aligned to your area of specialist skill (epidemiology, biostatistics or data science/programming), including: Study design Evidence strategy Data source assessment Protocol development Statistical analysis plan development Data management (SQL, PySpark) Statistical programming (R, Python) Project management Quality control Report and manuscript writing Oversee and review the work of other members of the team and support their development, including: Contribution to team learning and development Contribution to the development of internal resources, tools and processes Contribute to developing advanced methods capabilities in this space Demonstrate and develop your expertise by contributing to thought leadership activities What skills, qualities and experience must you have? Demonstrable experience in a relevant role at a CRO or consultancy, with a health-related Masters degree or PhD, ideally in epidemiology, biostatistics, health data science or a related speciality An excellent grounding in relevant methods with demonstrable experience in conceptualising and delivering previous studies and projects Excellent communication skills alongside good presentation skills and the ability to explain complex issues to others Excellent report writing skills Excellent Microsoft Office skills and be highly competent in the use of Outlook, Excel, Word, and PowerPoint If your specialist area is Data Science/Programming, you should be expert in R or Python Experience in project management, leading multidisciplinary teams and the execution of high-quality scientific work Initiative in every aspect of your work and creative in developing original solutions to problems Excellent organisational skills, with the ability to multi-task across several different projects alongside mentoring and coordinating less experienced colleagues work What's in it for you? Take a look at our and Career stories pages to see why our people love being here!As well as joining a multi-award winning, fun, collaborative, people first organisation where your personal and professional skills will be developed to make you the best you can be, we offer an attractive benefits package designed to promote your overall wellbeing so that you are able to perform to your full potential both in and out of work. Currently our core benefits package includes: For you: Hybrid working (see top of the advert for details) Professional study support (where applicable) Access to our internal Wellbeing, LGBTQ+, Multicultural and Women's networks For your family: Life assurance Income protection Enhanced maternity/paternity/adoption and shared parental leave For your health: 26 days annual leave (pro-rata for part-time working) plus bank holidays (most of which can be taken flexibly!) with options to buy &sell holiday Private medical insurance Discounted gym memberships, critical illness and dental insurance through our flexible benefits Eye care vouchers Cycle to work scheme Digital GP services For your wealth: Competitive pension scheme Discretionary bonus scheme High street discounts Season ticket loans For others: Volunteering opportunities For the environment: Electric vehicle salary sacrifice scheme (qualifying period applies) And much more! We continuously strive to build an inclusive workplace where all forms of diversity are valued, including age, background, disability, gender, gender identity, gender expression, race, religion or sexual orientation. LCP is committed to making our opportunities accessible to all and would welcome you getting in touch to let us know if an adjustment can be made to help with your application. This may be extra time for assessments, pre-interview site visits, interview structure or questions, or asking us about building accessibility.

Job Description Overview Take our vision into the future. You might know us for the great work we do across our wide variety of projects. We're proud to say it's thanks to our people's diversity of thought, expertise and knowledge. And when you join us, you'll be a part of this genuinely collaborative environment, where everyone's voice is valued and treated equally. We're passionate about what we do, but we don't take ourselves too seriously. Simply put, this a great place to be. So, when it comes to your life outside of work, ask us about our flexible and remote working policies designed to help you get the most out of life.AtkinsRéalis is one of the world's leading providers of engineering professional consulting and the UK Infrastructure Project Delivery Practice (PDP) is the centre of excellence for the delivery of infrastructure. We have exciting opportunities for Project managers and Senior Project Managers to join our expanding team in Birmingham. Your role will be to manage the project delivery services to our clients across our Water, Defence, Aviation and Nuclear Market Sectors, support the growth of our team and ensure high levels of client satisfaction through the delivery of high-quality project delivery and commercial management services. As a Project Manager or Senior Project manager you manage the delivery of major multi-disciplinary design projects on our expanding portfolio of the biggest and most challenging projects. Your role Manage successful delivery of the project to agreed targets on programme, budget and quality. Identifying and agreeing project objectives and developing a strategy for achieving these. Identifying and managing any matters that could pose a potential contractual/commercial risk to AtkinsRéalis. Managing the project team - building, motivating, maintaining, coaching and guiding the team. Facilitating communication, co-ordination and information flow with the Client and within the project team, including any subcontractors and partners (internal and external). Assembling and owning the project delivery programme and delivery plans. Protecting the commercial interest of AtkinsRéalis, including timely and accurate invoicing and effective credit control for optimal cash flow (with the support of the finance community). Comparing revenue with predicted costs and identifying risk allowances, margin and provisions - at project set-up and monthly thereafter, including Earned Value reporting. Closing out the project on completion, archiving project documentation, updating market information, ensuring that lessons learnt are captured and disseminated internally and ensuring that a Client Satisfaction survey is initiated. Support business development activities in line with our market strategies and governance. About you Degree qualified, with demonstrable experience managing design commissions and/or design and build contracts on large infrastructure projects. Chartered Engineer/Scientist/PM. Market sector experience across a range of Water, Nuclear, Aviation and/or Defence Infrastructure is an advantage. Excellent interpersonal, organisational and communication skills both verbal and written. Ability to manage and motivate a team and demonstrate good leadership potential. Demonstrable experience in deploying various forms of contract, in particular NEC3 or 4. Self-motivated and able to work both independently and within a larger multi-discipline team. Customer focused with excellent client relationship management skills. A supportive and encouraging approach to mentoring less experienced members of the team. Ability to adapt to different cultures and working environments to build rapport with clients. Reward & benefitsExplore the rewards and benefits that help you thrive - at every stage of your life and your career. Enjoy competitive salaries, employee rewards and a brilliant range of benefits you can tailor to suit your own health, wellbeing, financial and lifestyle choices. Make the most of a myriad of opportunities for training and professional development to grow your skills and expertise. And combine our hybrid working culture and flexible holiday allowances to balance a great job and fulfilling personal life. About AtkinsRéalisWe're , a world-class engineering services and nuclear organization. We connect people, data and technology to transform the world's infrastructure and energy systems. Together, with our industry partners and clients, and our global team of consultants, designers, engineers and project managers, we can change the world. We're committed to leading our clients across our various end markets to engineer a better future for our planet and its people. Additional information Security clearance This role may require security clearance and offers of employment will be dependent on obtaining the relevant level of clearance. If this is necessary, it will be discussed with you at interview. The vetting process is delivered by United Kingdom Security Vetting (UKSV) and may require candidates to provide proof of residency in the UK of 5 years or longer. If applying to this role please do not make reference to (in conversation) or include in your application or CV, details of any current or previously held security clearance.We are committed to creating a culture where everyone feels that they belong - a place where we can all be ourselves, thrive and develop to be the best we can be. So, we offer a range of family friendly, inclusive employment policies, flexible working arrangements and employee resource groups to support all employees. As an Equal Opportunities Employer, we value applications from all backgrounds, cultures and ability. Worker Type Employee Job Type Regular At AtkinsRéalis , we seek to hire individuals with diverse characteristics, backgrounds and perspectives. We strongly believe that world-class talent makes no distinctions based on gender, ethnic or national origin, sexual identity and orientation, age, religion or disability, but enriches itself through these differences.