Liaise with staff for the development of system enhancements to overcome known problems or further fulfil user requirements Provide key technical consultation with major migration and transition programs Play lead role in complex and sizeable programs and opportunities WHAT YOU SHOULD HAVE 8-11 years of experience in Technical experience in design, development and expert in Systems Development/ Maintenance and/ or technical Integration/ Migration Experience in Management/ Project Management, IT Management, Business Applications, Operating Systems, IT and Comms H/W, Business Analysis/ Process modeling, Statistical Analysis and Reporting, Config Management/ Testing, App Support Business Area Knowledge and analytical skills Attention to detail Conceptual thinking and customer focus Follow up and monitoring Information acquisition Ability to interact with people Organizational awareness Need to work rotate shift, working on public holiday and on-call support on weekend.
Your work is essential to protect DPDHL group’s information assets in a dynamic threat landscape by secure design. To achieve this, you will be interacting with our business colleagues, our solution architects and developers, to name a few. TEAM INTRODUCTION: Information Security Services cooperates with all division under the IT Security, Risk and Compliance Management team to meet business partner's requirements to maintain the confidentiality, integrity and availability of the IT infrastructure and assets.
Comfortable interpreting commercial / financial trends and results, with ability to guide teams to design and execute research and analysis and translate outputs into strategic implications for investorsWell-developed written and verbal communication skills including presentations, chairing meetings / Q&A sessions and report writingKnowledge of key issues and current developments in the biopharma / life sciences industryEvidence of career progression in consulting and/or transaction advisory roles In addition to the skills and experience above, a Manager should have: Bachelor’s degree or equivalent.
Strong communicator: You can communicate transparently, honestly, and effectively with both technical and non-technical stakeholders (e.g. Product, Design). Team player: You actively share knowledge, inspire other team members, and aim to fulfill team goals. Nice to have Experience in Web Development DevOps experience (e.g.
Key Responsibilities: Leadership: Serve as a biostatistical consultant for other members of the department and staff members from other Biostatistics departments within the company Represent sponsors at meetings with regulatory agencies or other regulatory meetings, may participate as a member of a Data and Safety Monitoring Committee Participate in independent research activities, teaching opportunities, presentations, and preparation of manuscripts for publication Participate as high level lead biostatistician on major projects, including developing/reviewing protocols, preparing analysis plans, and writing sections of joint clinical/statistical reports, integrated summaries and/or NDA sections Leading studies at an operational level Provide expert review and initiate methodology development work with regards to statistical standards and validation procedures Consult on operational/statistical/therapeutic area topics Knowledge Sharing: Maintain knowledge and awareness of developments in biostatistics and clinical trial methodology, and regulatory requirements that impact on analyses Performs as subject matter expert (SME) Risk Management: Identifies risks to project delivery and/or quality, leads in a way to minimize risks Anticipates risks to avert need for study level escalations, supports lead in implementing risk mitigation actions Lock and Unblinding Process: Leads the database lock and unblinding process for the statistical team Participate on the biostatistics randomization team (drafts randomization specifications and/or perform quality control (QC) review of randomization schedules) Statistical Expertise: Provide expert statistical input into review of statistical deliverables (i.e. statistical section of a protocol, statistical analysis plans, table shells, programming and table specifications, data review, tables, listings, figures, and statistical sections for complex and/or integrated reports) Provide expert input into data management deliverables (i.e. database design, CRF design, validation checks and critical data) Provide expert review of ADaM reviewers guide (ADRG) and metadata Perform senior biostatistical review (SBR) Produce or perform quality control review of sample size calculations for complex studies Requirements: Masters or PhD degree in Biostatistics or a related field with relevant experience within the life-science industry Expert in a broad range of complex statistical methods that apply to Phase 2-3 clinical trials Expert in strategically collaborating with clinical and drug development expertsExperience in serving as statistical lead for regulatory submissions, including preparation of submission datasets, eCTD support, meeting with regulatory teams, and responding to regulatory queries In-depth knowledge of applicable clinical research regulatory requirements, Good Clinical Practice (GCP) and International Conference on Harmonization (ICH) guidelines Strong working knowledge of SAS or RExcellent knowledge of CDISC Data Standards Superb communication and collaboration skills Independent and pro-active problem solving skills IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries.
This role requires a highly experienced biostatistician capable of working independently, representing the Biostatistics function within cross‑functional teams, and delivering high‑quality statistical input throughout study design, execution, and analysis. Key Responsibilities Statistical Leadership & Study Support Serve as the primary statistical lead and main point of contact on the Clinical Trial Team (CTT), representing Biostatistics with confidence and professionalism.Work independently to support clinical teams, providing proactive statistical guidance throughout the study lifecycle.Lead statistical strategy discussions, including endpoint definitions, analysis methods, risk mitigation, and regulatory expectations.
Our Infrastructure Engineering team is looking for a new technical star. You will architect, design and introduce multi-cloud services, provided by IT Services to support Deutsche Post DHL digitalization strategy and bring it to the cloud era.
We are seeking for a talented Enterprise Architect – Tools and Monitoring to join our team. You are expected to deliver technical and architecture design and formulate standards related IT monitoring landscape (Infrastructure, Application and Business Process). You will act as the SME (Subject Matter Expert) and 3rd level support and also provide technical consultancy to support the design and implementation planning of new infrastructure technologies.
We are seeking for a talented Enterprise Architect – Tools and Monitoring to join our team. You are expected to deliver technical and architecture design and formulate standards related IT monitoring landscape (Infrastructure, Application and Business Process). You will act as the SME (Subject Matter Expert) and 3rd level support and also provide technical consultancy to support the design and implementation planning of new infrastructure technologies.
Spannende Aufgaben warten auf Sie: Leitung anspruchsvoller Beratungsprojekte in o.g. Themenbereichen (z.B. Design von Vertriebsorganisationen, Optimierung von Kundensegmentierungen) für unsere Pharma-Kunden sowie Kunden aus angrenzenden Branchen (z.B.
Provide scientific, clinical, and operational advice to internal stakeholders developing proposals: this may include, but is not limited to, providing the strategy to protocol design/clinical development plan, mining data to address important clinical questions relevant to the study, reviewing the protocol for scientific/regulatory soundness and feasibility, logistics challenges, identification of target site and principal investigator profiles, anticipated patient recruitment, standard of care and competitive landscape.
Responsible for the inclusion of Cardiovascular elements into proposals.Provide scientific, clinical, and operational advice to internal stakeholders developing proposals: this may include, but is not limited to, providing the strategy to protocol design/clinical development plan, mining data to address important clinical questions relevant to the study, reviewing the protocol for scientific/regulatory soundness and feasibility, identification of target site and principal investigator profiles, anticipated patient recruitment, standard of care and competitive landscape.Support preparation of customer and bid defense meetings, e.g. training and preparation of the assigned project team; provide specific content; ensure presentation focus and content effectively conveys Cardiovascular strategy.
Provide scientific, clinical, and operational advice to internal stakeholders developing proposals: this may include, but is not limited to, providing the strategy to protocol design/clinical development plan, mining data to address important clinical questions relevant to the study, reviewing the protocol for scientific/regulatory soundness and feasibility, identification of target site and principal investigator profiles, anticipated patient recruitment, standard of care and competitive landscape.
Principal Accountabilities: Collaboration in projects of the European Data Science & Advanced Analytics Team.Concept, design, development and execution of complex innovative AI/Machine Learning solutions as well as execution and implementation of concept studies using advanced statistical methods.Development of deep learning models for structured medical concept extraction from unstructured data.Productionalization of machine learning algorithms in Big Data platforms.Application of modern data mining and machine learning techniques in connection with Healthcare Big Data to identify complex relationships and link heterogeneous data sources.Advanced usage of Large Language Models for summarization, chatbot, entity extraction etc.Develop foundational Deep Learning Models for assets and patients.Builds and trains new production grade algorithms that can learn from complex, high dimensional data to uncover patterns from which machine learning models and applications can be developed.