医薬品メーカー（先発医薬品）

【職務内容】 下記の主な業務を担当していただきます。 ・現場作業の監視・監督 ・逸脱調査 ・製造記録や試験記録などの照査 ・バリデーション ・変更管理 ・査察準備及び対応業務

【職務内容】 工場において、医薬品の品質管理及び品質保証業務における以下業務を担うリードもしくは担当者です。 ・ショップフロアQA（現場作業を直接監視・監督） ・バッチレコードを含む書類の照査 ・逸脱調査 ・出荷判定　 ・バリデーション ・変更管理 ・試験記録のレビュー など 業務範囲は、光工場の生産部門及び試験部門であり、対象製品は原薬／固形製剤、麻薬製剤などがありますので、適性と経験を考慮します。 【キャリアの展望】 この業務を経験されると、国内外の医薬品に関する品質保証業務全般の知識スキルを習得する事が出来ます。また、製薬品質保証室には、原薬、固形製剤、無菌製剤、ワクチンを担当するグループもあり、品質保証室内のローテーションにより幅広い剤型に対する品質保証エキスパートになれる機会が得られます。

OVERVIEW Project Controls Engineer Are you ready to take on complex challenges while building your career? Are you interested in helping ensure that projects operate at the highest quality, within a Site Engineering team that manufactures life-saving treatments for patients? Join us as a Project Controls Engineer in Osaka Plant. Every day, Engineers at changing lives, impacting millions, and shaping the future of healthcare. On our Site Engineering team, you will be empowered to implement comprehensive project cost and schedule planning, control processes, and manage risk in support of successful project delivery. You will have the authority to make choices that contribute to our greater purpose of improving people's lives while protecting our planet. Supported by talented and respectful colleagues, you will be offered stimulating experiences that enhance ongoing career opportunities. ENGINEER YOUR FUTURE ● Develop and manage comprehensive Basis of Schedule and Cost Estimate and integrate construction planning efforts. ● Develop manageable cost and schedule packages for use by the project team. ● Ensure schedule has complete scope coverage, procurement milestones are considered, critical path defined, and potential scope growth identified. Utilize industry and internal benchmarks to validate the quality of the overall schedule. ● Analyze cost performance, maintain the monthly cash flow forecast, and ensure control of budget and spend using an approved project change request process, including allowances and contingency. ● Monitor resource plan and periodically perform Earned Value Analysis where applicable. ● Work with key stakeholders to identify cost and schedule risks and apply quantitative risk analysis methods (e.g., Monte Carlo Simulation) where applicable. ● Develop and deploy appropriate project change management processes and risk mitigation procedures. ● Develop and prepare monthly cost and schedule reports based on project definition and execution phase. ● Lead subcontractors invoice management. Track the budget, expenditures, and Estimate At Completion. ● Assist procurement during the bidding process and tendering period by assessing proposed cost against budget. ● Ensure purchase requests are based on initial budgeted scope (or approved scope changes), place and approve Purchase Requests in Ariba, and monitor the purchase process. ● Liaise with site finance departments to ensure accruals and further reconciliations are updated.

The Opportunity As a Data Platforms Engineering leader, you'll have a business Impact and direct alignment to the Head of Data Platforms and Architecture vision. The role is a key enabler for strategy to become a Data Driven Enterprise. By connecting with Business Units and Business Functions within Global Business and with their data teams, the data platform lead will strategically architect data, processes, and technology to achieve faster time to market for life saving products. Ultimately, help to make better decisions that improve the quality and efficiency of care for patients. You will develop data driven solutions utilizing current and next generation technologies to meet evolving business needs. You will quickly identify opportunities and recommend possible technical solutions and you will develop application systems that comply with the standard system development methodology and concepts for design, programming, backup, and recovery to deliver solutions that have superior performance, reliability, and integrity. As part of our transformational journey on Data & AI in Operations, we are taking the steps to advance to Data Mesh architecture. The current Datalake exists to give all Operations units access to critical data and analytic tools at pace, accelerating their work on life saving medicines. The vision of EDS is also accelerating Operations’ data strategy of making our data Findable, Accessible, Interoperable, and re-useable. This is being achieved through the creation of a distributed data architecture, management of our data and data products which will sit as a centerpiece of this strategy and the future evolution of Data Science. Responsibilities Create best practices and thought leadership content to be used by the federated delivery teams building data solutions and data products on Enterprise Data platforms that cater to batch, streaming and real-time data. Influence stakeholders at all levels through complex engagement models with the wider cloud ecosystem not limited but inclusive of AWS foundations for Infrastructure and data technologies, Databricks, Informatica, Kafka, Managed File Transfer, and 3rd party applications, ensuring they are excited by the Enterprise Data Services vision and solution strategy. Be a 'champion’ for both customers and colleagues by operating as an expert Engineer and trusted advisor for significant data analytics architecture, design, and adoption and scaling of the Datalake platform. Provide a roadmap for modernizing legacy capabilities inherent to the current platform. Support all data platform initiatives – Data Lake Strategy, Data Engineering and Platform development, Data Governance, Security Models, and Master Data Management. Establish a collaborative engineering culture based on trust, innovation, and a mindset of continuous improvement. Utilize Industry best practices and agile methodologies to deliver solution and extract efficiency through automations in Continuous Development and Continuous Integration. Manages efforts to problem solve for engineering challenges and coordinate with project consultants and delivery/engagement managers. As a leading technical contributor who can consistently take a poorly defined business or technical problem, work it to a well-defined data problem/specification, and execute it at a high level. Have a strong focus on metrics, both for the impact of their work and for its engineering and operations. Understand the Data Platforms investments and create data tools for consumption of services and uncover opportunities for cost optimization to assist the team in building and optimizing our platforms into an innovative unit within the company. Skills and Qualifications Bachelor’s degree or higher in Computer Science/Information technology; or relevant work experience.