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Science & Healthcare

Genentech

You have 3-6 years of omnichannel marketing experience, strong knowledge of key platforms, tying metrics to outcomes, and ability to apply trends to business strategy. MBA preferred, experience in healthcare/pharma/biotech a plus.

You will work on accelerating omnichannel experiences strategy, collaborating with various teams to deliver great patient & customer experiences and drive business impact.

Bachelors

Business, Operations & Strategy

San Francisco

Experience Operations (XO) is a functional group within Genentech Business Operations (GBO) comprised of experts who partner across Commercial, Medical Affairs and Government Affairs (CMG) to orchestrate and deliver integrated customer experiences that drive measurable business outcomes.Genentech’s vision is to understand the needs and priorities of our patients and customers, so we can deliver meaningful, consistent, and seamless experiences in every interaction they have with our transformative medicines, services, and people.&nbsp;The OpportunityReporting to the Omnichannel Experiences Director, the Strategy Program Manager, Omnichannel Experiences will assist in developing and scaling Omnichannel Experiences strategy and delivery within XO, focusing on the intersection of the channels (digital, field, in-person, etc.) in which we operate.&nbsp;&nbsp;&nbsp;<ul><li>You will work with the Omnichannel Experiences Senior Strategy Manager to enable the delivery and acceleration of XO omnichannel experience strategies and capabilities across the organization - ensuring the progress towards delivering great patient &amp; customer experiences and business impact.&nbsp;</li><li>You will also work cross-functionally with Field (Customer Engagement), Marketing, Medical, channel product owners, IT partners, platform leads, and data strategy/science teams on prioritized activations and initiatives that will look to deliver omnichannel experiences.&nbsp;</li><li>Maximize business outcomes by assisting in the building and gathering of business requests to then work cross-functionally to ensure enablement of omnichannel experiences, support the short- and long-term opportunities and use cases developed for XO Omnichannel Experiences.</li><li>From an operational model perspective, you will partner with the Omnichannel Experiences Director to act as a conduit between the Omnichannel Experiences Team and Next Best Action Product Teams, as well as aiding in the enablement , discovery, implementation and upskilling of use cases across the two capabilities.&nbsp;&nbsp;</li><li>You will also partner with the Omnichannel Experiences Senior Strategy Manager to facilitate and manage conversations and meetings with the Digital Experience Team members to explore, ideate, design, and prioritize new use cases to advance patient &amp; customer experiences and campaign performance and execute and scale them across Genentech.&nbsp;</li><li>This position is based in South San Francisco and relocation benefits are not available</li></ul>Who You Are<ul><li>You have a Bachelor's degree and 3 - 6 years of experience across varying roles with significant time in omnichannel marketing, customer relationship management</li><li>You are strongly familiar with omnichannel experiences including key omnichannel and program management platforms (e.g. Customer Data Platforms (CDP), predictive learning machines, recommendation engines, Customer Relationship Management (CRM), customer experience (CX), Jira, Confluence)</li><li>You are experienced in tying omnichannel marketing metrics to business outcomes and omnichannel marketing strategy with operations</li><li>You have the ability to apply knowledge of current omnichannel and customer/patient trends to Genentech’s business needs and enterprise-level strategy</li><li>You are able to assist in the creation of capabilities and use case plans as well as designing fit-for-purpose solutions</li><li>You can influence and mobilize others, have highly-developed planning and communication skills, bias for action, strong sense of immediacy, and drive to achieve objectives.</li></ul>Preferred Skills<ul><li>MBA or other related graduate level degree&nbsp;</li><li>Experience in health care, pharmaceutical, or biotech industries</li></ul>

Experience Operations (XO) is a functional group within Genentech Business Operations (GBO) comprised of experts who partner across Commercial, Medical Affairs and Government Affairs (CMG) to orchestrate and deliver integrated customer experiences that drive measurable business outcomes.Genentech’s vision is to understand the needs and priorities of our patients and customers, so we can deliver meaningful, consistent, and seamless experiences in every interaction they have with our transformative medicines, services, and people. The OpportunityReporting to the Omnichannel Experiences Director, the Strategy Program Manager, Omnichannel Experiences will assist in developing and scaling Omnichannel Experiences strategy and delivery within XO, focusing on the intersection of the channels (digital, field, in-person, etc.) in which we operate.   You will work with the Omnichannel Experiences Senior Strategy Manager to enable the delivery and acceleration of XO omnichannel experience strategies and capabilities across the organization - ensuring the progress towards delivering great patient & customer experiences and business impact. You will also work cross-functionally with Field (Customer Engagement), Marketing, Medical, channel product owners, IT partners, platform leads, and data strategy/science teams on prioritized activations and initiatives that will look to deliver omnichannel experiences. Maximize business outcomes by assisting in the building and gathering of business requests to then work cross-functionally to ensure enablement of omnichannel experiences, support the short- and long-term opportunities and use cases developed for XO Omnichannel Experiences.From an operational model perspective, you will partner with the Omnichannel Experiences Director to act as a conduit between the Omnichannel Experiences Team and Next Best Action Product Teams, as well as aiding in the enablement , discovery, implementation and upskilling of use cases across the two capabilities.  You will also partner with the Omnichannel Experiences Senior Strategy Manager to facilitate and manage conversations and meetings with the Digital Experience Team members to explore, ideate, design, and prioritize new use cases to advance patient & customer experiences and campaign performance and execute and scale them across Genentech. This position is based in South San Francisco and relocation benefits are not availableWho You AreYou have a Bachelor's degree and 3 - 6 years of experience across varying roles with significant time in omnichannel marketing, customer relationship managementYou are strongly familiar with omnichannel experiences including key omnichannel and program management platforms (e.g. Customer Data Platforms (CDP), predictive learning machines, recommendation engines, Customer Relationship Management (CRM), customer experience (CX), Jira, Confluence)You are experienced in tying omnichannel marketing metrics to business outcomes and omnichannel marketing strategy with operationsYou have the ability to apply knowledge of current omnichannel and customer/patient trends to Genentech’s business needs and enterprise-level strategyYou are able to assist in the creation of capabilities and use case plans as well as designing fit-for-purpose solutionsYou can influence and mobilize others, have highly-developed planning and communication skills, bias for action, strong sense of immediacy, and drive to achieve objectives.Preferred SkillsMBA or other related graduate level degree Experience in health care, pharmaceutical, or biotech industries

Strategy Program Manager, Omnichannel Experiences - Genentech

Strategy Program Manager, Omnichannel Experiences

You have a Bachelor's in Engineering or related field, 4-11 years bio/pharmaceutical experience, strong knowledge of cGMP regulations, troubleshoot and improve processes, visual inspection & packaging expertise, data analysis skills, detail-oriented, and strong communication skills.

You will provide technical support for Inspection and Packaging operations, troubleshoot issues, optimize processes, conduct investigations, implement corrective actions, support validation activities, and stay current on industry advancements.

Engineering

Hillsboro

The Opportunity:We are seeking a skilled process engineer to join our dynamic team with a focus on providing day-to-day operations support for our Aseptic Filling Operations with a focus on the Visual Inspection and Packaging Processes. As a Process Engineer, you will play a crucial role in ensuring the smooth and efficient operation of our visual inspection and packaging processes, while maintaining the highest quality standards.&nbsp;As a member of this team, you will work closely with cross-functional teams, including Manufacturing, Quality Assurance, and Engineering &amp; Science and Technology,&nbsp;to drive process improvements, troubleshoot issues, and ensure compliance with regulatory requirements.<ul><li>You will provide technical expertise and support for Inspection and Packaging operations, including process troubleshooting, optimization, and improvement initiatives.</li><li>You will provide technical support and expertise for drug product manual visual inspection, semi-automated Inspection, automated inspection operations, and packaging operations.</li><li>You will perform data gathering, root cause analysis, and performance trending to develop appropriate process control changes for complex issues.</li><li>You will perform product complaint assessments and or investigations, and other related post-market surveillance activities.</li><li>You will conduct process investigations and root cause analyses to identify and address deviations, non-conformances, and other process-related issues, implementing corrective and preventive actions as necessary.</li><li>You will utilize Lean Production System elements and methods to continuously improve Engineering tactical business processes and procedures.</li><li>You will participate in process validation activities, including protocol development, execution, and report writing.</li><li>You will support equipment qualification and commissioning activities for new manufacturing equipment or processes.</li><li>You will participate in technology transfer activities from development to commercial manufacturing, ensuring successful scale-up and process validation.</li><li>You will support regulatory inspections and audits by providing technical expertise and documentation.</li><li>You will foster an environment that encourages continuous learning. Maintain expertise as necessary to stay abreast of technical and industry advancements, and best practices related to aseptic processing.</li></ul>Who you are:<ul><li>You have a Bachelor's degree in Engineering, Pharmaceutical Sciences, or a related technical field.&nbsp;</li><li>You have significant relevant bio/pharmaceutical experience preferably in aseptic manufacturing operations.&nbsp;(Engineer II = 4-7 years, Senior Engineer = 8-11 years)</li><li>You have strong knowledge of cGMP regulations and quality systems, with experience working in a regulated environment.</li><li>You have a proven ability to troubleshoot equipment issues and implement process improvements.</li><li>You have significant experience with visual inspection systems, including automated, semi-automated, and manual, and packaging processes in a cGMP environment</li><li>You are proficient in data analysis and statistical tools for process monitoring and optimization.</li><li>You are detail-oriented with strong analytical&nbsp;and problem-solving skills, with the ability to identify root causes and implement effective corrective actions.</li><li>You have strong communication and interpersonal skills, with the ability to collaborate effectively in a cross-functional team environment.</li></ul>​Preferred:<ul><li>Experience with qualification and validation protocols is preferred.</li><li>Familiarity with Lean Six Sigma principles and continuous improvement methodologies</li></ul>

The Opportunity:We are seeking a skilled process engineer to join our dynamic team with a focus on providing day-to-day operations support for our Aseptic Filling Operations with a focus on the Visual Inspection and Packaging Processes. As a Process Engineer, you will play a crucial role in ensuring the smooth and efficient operation of our visual inspection and packaging processes, while maintaining the highest quality standards. As a member of this team, you will work closely with cross-functional teams, including Manufacturing, Quality Assurance, and Engineering & Science and Technology, to drive process improvements, troubleshoot issues, and ensure compliance with regulatory requirements.You will provide technical expertise and support for Inspection and Packaging operations, including process troubleshooting, optimization, and improvement initiatives.You will provide technical support and expertise for drug product manual visual inspection, semi-automated Inspection, automated inspection operations, and packaging operations.You will perform data gathering, root cause analysis, and performance trending to develop appropriate process control changes for complex issues.You will perform product complaint assessments and or investigations, and other related post-market surveillance activities.You will conduct process investigations and root cause analyses to identify and address deviations, non-conformances, and other process-related issues, implementing corrective and preventive actions as necessary.You will utilize Lean Production System elements and methods to continuously improve Engineering tactical business processes and procedures.You will participate in process validation activities, including protocol development, execution, and report writing.You will support equipment qualification and commissioning activities for new manufacturing equipment or processes.You will participate in technology transfer activities from development to commercial manufacturing, ensuring successful scale-up and process validation.You will support regulatory inspections and audits by providing technical expertise and documentation.You will foster an environment that encourages continuous learning. Maintain expertise as necessary to stay abreast of technical and industry advancements, and best practices related to aseptic processing.Who you are:You have a Bachelor's degree in Engineering, Pharmaceutical Sciences, or a related technical field. You have significant relevant bio/pharmaceutical experience preferably in aseptic manufacturing operations. (Engineer II = 4-7 years, Senior Engineer = 8-11 years)You have strong knowledge of cGMP regulations and quality systems, with experience working in a regulated environment.You have a proven ability to troubleshoot equipment issues and implement process improvements.You have significant experience with visual inspection systems, including automated, semi-automated, and manual, and packaging processes in a cGMP environmentYou are proficient in data analysis and statistical tools for process monitoring and optimization.You are detail-oriented with strong analytical and problem-solving skills, with the ability to identify root causes and implement effective corrective actions.You have strong communication and interpersonal skills, with the ability to collaborate effectively in a cross-functional team environment.​Preferred:Experience with qualification and validation protocols is preferred.Familiarity with Lean Six Sigma principles and continuous improvement methodologies

Process Engineer II/Senior Engineer, Packaging/Visual Inspection - Genentech

Process Engineer II/Senior Engineer, Packaging/Visual Inspection

You have a PhD or MS degree in Computational Biology, Computer Science, or related field, with deep learning experience in Python. Strong research background and communication skills required. Biology or immunology data experience preferred. Build a strong public computational project portfolio.

You will apply ML methods to analyze biological data, collaborate with teams to develop models, manage collaborations between departments, and present scientific findings.

Data

New York City

The OpportunityYou will play a pivotal role in supporting, applying, and advancing the next generation of large molecule generative machine learning models for drug discovery. We seek an individual who is not only passionate about teamwork and technical problem-solving but also has a proven track record of delivering innovative solutions in machine learning and antibody engineering. Yourresponsibilities will include data preparation and cleaning, deploying both internal and external discriminative and generative models, and closely collaborating and communicating with colleagues in Genentech’s antibody engineering department.<ul><li>You will apply novel Computational Biology/Machine Learning methods to answer challenging research questions in LMDD</li><li>You will work with biological data from heterogeneous sources</li><li>You will collaborate closely with cross-functional teams across gRED to solve complex problems including developing models to predict antigen-antibody affinity and developability properties and to perform generative design of de novo macromolecules</li><li>You will manage collaborations between experimental biologists and computational colleagues and bioinformaticians across departments in the organization.</li><li>You will contribute to and drive publications and present scientific findings at internal/external venues.</li></ul>Who you are<ul><li>You will have a PhD degree in Computational Biology, Structural Biology, Computer Science, Physics or related disciplines, or a MS degree in the above disciplines with 3+ years of industry research experience.</li><li>You will have demonstrated experience with Python and deep learning libraries such as Pytorch and/or TensorFlow and/or JAX</li><li>You will have demonstrated research experience, including at least one first author publication or equivalent.</li><li>You will have a publication record and experience contributing to research communities, including conferences like NeurIPS, ICML, ICLR, CVPR, ACL, etc.</li><li>You will have trong communication and collaboration skills.&nbsp;</li></ul>Preferred<ul><li>Experience working with data from biology, immunology or related disciplines</li><li>Public portfolio of computational projects (available on e.g. GitHub)</li></ul>

The OpportunityYou will play a pivotal role in supporting, applying, and advancing the next generation of large molecule generative machine learning models for drug discovery. We seek an individual who is not only passionate about teamwork and technical problem-solving but also has a proven track record of delivering innovative solutions in machine learning and antibody engineering. Yourresponsibilities will include data preparation and cleaning, deploying both internal and external discriminative and generative models, and closely collaborating and communicating with colleagues in Genentech’s antibody engineering department.You will apply novel Computational Biology/Machine Learning methods to answer challenging research questions in LMDDYou will work with biological data from heterogeneous sourcesYou will collaborate closely with cross-functional teams across gRED to solve complex problems including developing models to predict antigen-antibody affinity and developability properties and to perform generative design of de novo macromoleculesYou will manage collaborations between experimental biologists and computational colleagues and bioinformaticians across departments in the organization.You will contribute to and drive publications and present scientific findings at internal/external venues.Who you areYou will have a PhD degree in Computational Biology, Structural Biology, Computer Science, Physics or related disciplines, or a MS degree in the above disciplines with 3+ years of industry research experience.You will have demonstrated experience with Python and deep learning libraries such as Pytorch and/or TensorFlow and/or JAXYou will have demonstrated research experience, including at least one first author publication or equivalent.You will have a publication record and experience contributing to research communities, including conferences like NeurIPS, ICML, ICLR, CVPR, ACL, etc.You will have trong communication and collaboration skills. PreferredExperience working with data from biology, immunology or related disciplinesPublic portfolio of computational projects (available on e.g. GitHub)

Machine Learning Scientist, MLDD - Genentech

Machine Learning Scientist, MLDD

You need a MS/PhD, 6+ years in distributed systems & machine learning, large-scale model expertise, leadership experience, PyTorch skills, programming skills, LLM familiarity, & interest in molecular design.

You will lead machine learning research, develop tools for large-scale ML experiments, and engineer high-performance systems for drug discovery and LLM applications in collaboration with cross-functional teams.

Masters

At Genentech Computational Sciences (gCS) Prescient Design, we are at the forefront of employing machine learning to revolutionize drug discovery, adopting novel methods, techniques, and infrastructure to transform the field. Our Engineering team is seeking engineers with strong skills and hands-on experience in designing, constructing, and optimizing large-scale distributed systems, with a particular emphasis on machine learning infrastructure.We know engineering plays a key role in machine learning advances, and in particular effective ML infrastructure is the foundation for many groundbreaking developments. So we are looking for an engineer to take on a leading role in building out the systems used to develop our large language models and AI systems that form the backbone of our foundational research in machine learning for scientific discovery. By joining us as a Principal Machine Learning Engineer, Infrastructure (LLM), you will work on state-of-the-art systems, contribute to cutting-edge research, develop innovative algorithms, and play an essential part in Prescient Design's success.&nbsp;The group provides a dynamic and challenging environment for cutting-edge, multidisciplinary research including access to heterogeneous data sources, close links to top academic institutions around the world, as well as internal Genentech Research and Early Development (gRED) partners and research units.IN THIS ROLE, YOU WILL:<ul><li>Contribute to cutting-edge research in machine learning, including algorithm and method development, specifically applicable to drug discovery and large language models (LLMs).</li><li>Develop and maintain robust tools for large-scale ML experiments, focusing on the deployment, optimization, and scalability of compute-intensive LLM training and lab-in-the-loop molecular design.</li><li>Tackle crucial engineering challenges that involve the design, implementation, and scaling of dynamic, distributed, and high-performance machine learning systems such as models deployed as APIs, retrieval augmented generation (RAG) systems, search and advanced generative models of text, images, and structures, such as molecules.</li><li>Engage in close collaboration with cross-functional teams across both Prescient Design, gCS, gRED, and global Roche to solve complex problems in the life sciences, including leveraging language models for scientific applications.</li></ul>QUALIFICATIONS<ul><li>MS or PhD in Computer Science, Statistics, Machine learning or related field, or equivalent experience.</li><li>6+ years of industry experience relating to distributed systems and machine learning</li><li>Proven expertise in designing and implementing large-scale machine learning models and infrastructure.</li><li>Demonstrated success in technical leadership for teams of engineers.</li><li>Practical hands-on experience with PyTorch in a production environment.</li><li>Excellent programming skills.</li><li>Familiarity with large language models (LLMs) and their training is highly desirable.</li><li>A keen interest in molecular design, underpinned by a desire to contribute to both scientific and computational advancements in the field.</li></ul>

At Genentech Computational Sciences (gCS) Prescient Design, we are at the forefront of employing machine learning to revolutionize drug discovery, adopting novel methods, techniques, and infrastructure to transform the field. Our Engineering team is seeking engineers with strong skills and hands-on experience in designing, constructing, and optimizing large-scale distributed systems, with a particular emphasis on machine learning infrastructure.We know engineering plays a key role in machine learning advances, and in particular effective ML infrastructure is the foundation for many groundbreaking developments. So we are looking for an engineer to take on a leading role in building out the systems used to develop our large language models and AI systems that form the backbone of our foundational research in machine learning for scientific discovery. By joining us as a Principal Machine Learning Engineer, Infrastructure (LLM), you will work on state-of-the-art systems, contribute to cutting-edge research, develop innovative algorithms, and play an essential part in Prescient Design's success. The group provides a dynamic and challenging environment for cutting-edge, multidisciplinary research including access to heterogeneous data sources, close links to top academic institutions around the world, as well as internal Genentech Research and Early Development (gRED) partners and research units.IN THIS ROLE, YOU WILL:Contribute to cutting-edge research in machine learning, including algorithm and method development, specifically applicable to drug discovery and large language models (LLMs).Develop and maintain robust tools for large-scale ML experiments, focusing on the deployment, optimization, and scalability of compute-intensive LLM training and lab-in-the-loop molecular design.Tackle crucial engineering challenges that involve the design, implementation, and scaling of dynamic, distributed, and high-performance machine learning systems such as models deployed as APIs, retrieval augmented generation (RAG) systems, search and advanced generative models of text, images, and structures, such as molecules.Engage in close collaboration with cross-functional teams across both Prescient Design, gCS, gRED, and global Roche to solve complex problems in the life sciences, including leveraging language models for scientific applications.QUALIFICATIONSMS or PhD in Computer Science, Statistics, Machine learning or related field, or equivalent experience.6+ years of industry experience relating to distributed systems and machine learningProven expertise in designing and implementing large-scale machine learning models and infrastructure.Demonstrated success in technical leadership for teams of engineers.Practical hands-on experience with PyTorch in a production environment.Excellent programming skills.Familiarity with large language models (LLMs) and their training is highly desirable.A keen interest in molecular design, underpinned by a desire to contribute to both scientific and computational advancements in the field.

Principal Machine Learning Engineer, Infrastructure (LLM) - Genentech

Principal Machine Learning Engineer, Infrastructure (LLM)

You must have a Bachelor's Degree and 8-11 years of experience in pharmaceutical/biopharmaceutical, international project management, MEP consulting, and strong leadership skills. Proficient in English, able to travel extensively, and demonstrate Roche Values.

You will define roles and priorities, manage budgets and schedules, provide status updates, lead proactive measures, liaise with stakeholders, and ensure compliance with global standards in electrical design and engineering at Genentech.

Global Engineering and Technology executes major CAPEX projects in the Pharma Division with focus mainly on Pharma Technical Operations (PT).&nbsp;The Electrical Engineer provides discipline focused technical leadership and accountability for Electrical Engineering in the delivery of capital projects and engineering services to support PT, CMO, and Affiliates.&nbsp;This includes projects that are single and multidisciplinary in nature.&nbsp;The Electrical Engineer reports to the Global Head of Engineering &amp; Technology.Key Responsibilities/Tasks&nbsp;&nbsp;The Electrical Engineer has basic skills in the following focus areas.<ul><li>Defining Electrical Engineering roles and responsibilities</li><li>Gaining alignment with key stakeholders, customers and project management team</li><li>Defining priorities</li><li>Applying decision making processes</li><li>Providing regular status updates including progress vs plan, risks, mitigations</li><li>Managing approved electrical budgets, schedules and costs.&nbsp;Substantial contributions to overall electrical scope including:</li><li class="ql-indent-1">Options Analysis &amp; Project Planning</li><li class="ql-indent-1">Execution strategies and development of detailed Schedule applying Lean Principles when appropriate</li><li class="ql-indent-1">Resourcing and estimating</li><li>Executing deliverables in compliance with EM, Global Standards and Processes and all other Roche Guidelines and Directives</li><li>Expressing relevant information timely, clearly and concisely to relevant stakeholders including adjusting communication style to the audience being addressed</li><li>Partnering proactively with key customers, team members and stakeholders, while being open and approachable with a friendly, positive and professional attitude</li><li>&nbsp;Challenging the status-quo and developing creative solutions within the framework of Global Standards and Processes</li><li>&nbsp;Leading proactive measures to achieve the specified goals in the event of deviations from the project plan&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;</li><li>Managing external contractors and giving clear guidance to the team in terms of technical solutions and/or business processes</li><li>Maintaining ownership of assigned work-package within electrical discipline through all project phases so that target functionality, quality and reliability are achieved</li><li>Supporting review of project documentation submitted by engineering firms, verifying completeness of documentation, conformance to Roche standards, and adherence to the project’s original scope request.</li><li>Assisting in the development and revision of tools used by the Project Team to provide guidance to external Engineering teams.</li><li>Developing of standard system P&amp;ID’s (Process and Instrumentation&nbsp;Diagrams), standard details, and standard schedules</li><li>Updating and revising Roche master specifications</li><li>Providing revision to Roche design guidelines and standards</li><li>Assisting in the creation of presentations and reports to upper management as&nbsp;needed</li><li>Interacting with Design Manger, PM and construction project teams:&nbsp;Attend design review&nbsp;meetings with MEP engineering firms supporting projects</li><li>Attend Owner/Architect/Contractor (OAC) meetings for projects during the life of the project through ISD, C&amp;Q and turnover.</li></ul>Discipline Specifics<ul><li>Experience include systems and equipment within one or more of the following areas: biologics drug substance,&nbsp;biologics drug product, small molecules drug substance, small molecules drug product, packaging/warehousing and GMP utilities</li><li>Technical Analysis:&nbsp;including process and technology plant fits, capacity and equipment utilization, and assessment of applicable new technologies</li><li>Participate with one or more of the Electrical Engineering and Sustainability Community of Practices</li><li>Work is performed under limited direction.</li></ul>Qualifications<ul><li>Bachelor's Degree in Engineering/Finance or related discipline with 8 to 11 years of experience preferable in pharmaceutical/biopharmaceutical , 6 to 9 years of experience with Masters Degree, 3 to 6 years of experience with PhD</li><li>Preferred Requirements: MS in Engineering/Finance and/or an MBA</li><li>6 years of experience in international management of capital projects</li><li>Able to execute scope that is complex on projects that are small to mid-sized</li><li>MEP consulting firm experience is a must</li></ul>Knowledge/Skills/Competencies<ul><li>Good collaboration, teambuilding and communication skills</li><li>Strong business and technical acumen, strategic agility and global perspective necessary to lead and influence groups to world-class performance</li><li>Global experience and culturally savvy, can adapt to and effectively manage in various cultural environments and organizational levels including executive management</li><li>Shows Roche Values and Leadership Commitments</li><li>Proficient knowledge of English&nbsp;</li><li>Significant travel such as assignment requiring weekly commuting as required to meet the business need</li><li>Support international project assignment as required to meet the business needs</li><li>Certified reviewer for discipline reviews for CAPEX Projects&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;</li></ul>The expected salary range for this position based on the primary location of&nbsp;Oceanside, CA&nbsp;is&nbsp;$100,500 - $186,600.&nbsp;Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law.&nbsp;A discretionary annual bonus may be available based on individual and Company performance.&nbsp;This position also qualifies for the benefits detailed at the link provided below.

Global Engineering and Technology executes major CAPEX projects in the Pharma Division with focus mainly on Pharma Technical Operations (PT). The Electrical Engineer provides discipline focused technical leadership and accountability for Electrical Engineering in the delivery of capital projects and engineering services to support PT, CMO, and Affiliates. This includes projects that are single and multidisciplinary in nature. The Electrical Engineer reports to the Global Head of Engineering & Technology.Key Responsibilities/Tasks  The Electrical Engineer has basic skills in the following focus areas.Defining Electrical Engineering roles and responsibilitiesGaining alignment with key stakeholders, customers and project management teamDefining prioritiesApplying decision making processesProviding regular status updates including progress vs plan, risks, mitigationsManaging approved electrical budgets, schedules and costs. Substantial contributions to overall electrical scope including:Options Analysis & Project PlanningExecution strategies and development of detailed Schedule applying Lean Principles when appropriateResourcing and estimatingExecuting deliverables in compliance with EM, Global Standards and Processes and all other Roche Guidelines and DirectivesExpressing relevant information timely, clearly and concisely to relevant stakeholders including adjusting communication style to the audience being addressedPartnering proactively with key customers, team members and stakeholders, while being open and approachable with a friendly, positive and professional attitude Challenging the status-quo and developing creative solutions within the framework of Global Standards and Processes Leading proactive measures to achieve the specified goals in the event of deviations from the project plan       Managing external contractors and giving clear guidance to the team in terms of technical solutions and/or business processesMaintaining ownership of assigned work-package within electrical discipline through all project phases so that target functionality, quality and reliability are achievedSupporting review of project documentation submitted by engineering firms, verifying completeness of documentation, conformance to Roche standards, and adherence to the project’s original scope request.Assisting in the development and revision of tools used by the Project Team to provide guidance to external Engineering teams.Developing of standard system P&ID’s (Process and Instrumentation Diagrams), standard details, and standard schedulesUpdating and revising Roche master specificationsProviding revision to Roche design guidelines and standardsAssisting in the creation of presentations and reports to upper management as neededInteracting with Design Manger, PM and construction project teams: Attend design review meetings with MEP engineering firms supporting projectsAttend Owner/Architect/Contractor (OAC) meetings for projects during the life of the project through ISD, C&Q and turnover.Discipline SpecificsExperience include systems and equipment within one or more of the following areas: biologics drug substance, biologics drug product, small molecules drug substance, small molecules drug product, packaging/warehousing and GMP utilitiesTechnical Analysis: including process and technology plant fits, capacity and equipment utilization, and assessment of applicable new technologiesParticipate with one or more of the Electrical Engineering and Sustainability Community of PracticesWork is performed under limited direction.QualificationsBachelor's Degree in Engineering/Finance or related discipline with 8 to 11 years of experience preferable in pharmaceutical/biopharmaceutical , 6 to 9 years of experience with Masters Degree, 3 to 6 years of experience with PhDPreferred Requirements: MS in Engineering/Finance and/or an MBA6 years of experience in international management of capital projectsAble to execute scope that is complex on projects that are small to mid-sizedMEP consulting firm experience is a mustKnowledge/Skills/CompetenciesGood collaboration, teambuilding and communication skillsStrong business and technical acumen, strategic agility and global perspective necessary to lead and influence groups to world-class performanceGlobal experience and culturally savvy, can adapt to and effectively manage in various cultural environments and organizational levels including executive managementShows Roche Values and Leadership CommitmentsProficient knowledge of English Significant travel such as assignment requiring weekly commuting as required to meet the business needSupport international project assignment as required to meet the business needsCertified reviewer for discipline reviews for CAPEX Projects          The expected salary range for this position based on the primary location of Oceanside, CA is $100,500 - $186,600. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.

Genentech

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