33 Jmp Jobs

As a Silicon Design Validation Engineer at Lattice, you will be part of a dynamic and enthusiastic team working on cutting-edge projects in programmable logic solutions. If you thrive in a fast-paced and results-oriented environment and are passionate about innovation and self-challenge, this role offers you the opportunity to contribute to the validation and performance assessment of building blocks within FPGA. In this role, you will be responsible for validating and characterizing various IPs within the FPGA, such as SERDES, Memory DDR, DPHY, PLL, DSP, Fabric, and I/O components. You will have the chance to work on developing validation and characterization plans, test logic RTL, and drive new silicon product bring-up. Additionally, you will collaborate with design, verification, manufacturing, test, quality, and marketing teams to ensure the successful release of products to production. The ideal candidate for this role will have at least 5 years of experience in Silicon Design Validation, with expertise in High-Speed Serdes Interface characterization, Verilog/VHDL design implementation, and test automation development using languages like Python and Perl. You should also possess strong communication skills, problem-solving abilities, and a proactive mindset. At Lattice, we are focused on collaboration, problem-solving, and innovation. We are a leader in low-power programmable technology, serving customers in various markets such as communications, computing, industrial, automotive, and consumer electronics. By joining Team Lattice, you will be part of a team that is dedicated to creating a smarter, better-connected world through innovative semiconductor products and solutions. If you are motivated to develop a career in Silicon Design Validation Engineering and are looking for a challenging yet rewarding opportunity to work with advanced technologies and equipment, Lattice may be the perfect fit for you. Join us in driving innovation and shaping the future of technology together.,

Imagine what you could do here. At Apple, innovative ideas quickly become extraordinary products, services, and customer experiences. This is where individual imaginations and experiences gather, leading to great work. Bring passion and dedication to your job, and there's no telling what you could accomplish. The people here at Apple don't just create products - they make the kind of wonder that's revolutionized entire industries. The diversity of those people and their ideas inspire the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. In this highly visible role, you will have the opportunity to make a significant impact on Apple Products and leave a footprint for years to come. We have an opportunity for an accomplished manufacturing design engineer to lead development, and ramp for next generation Apple products. Our Manufacturing Design Engineering team enables the mass creation of impossible products as a partner in the development of Apple's renowned designs. You will be a part of collaborative environment contributing to the creation, evaluation, and implementation of end-to-end manufacturing solutions for Apple products. The Apple Manufacturing Design Engineer (MDE) is accountable for leading the development and implementation of innovative manufacturing processes across Apple's worldwide supply base. You will collaborate closely with cross-functional stakeholders in Quality Engineering, Global Supply Management, Product Design, and Industrial Design in order to ensure our manufacturing solutions meet our product quality, cost, yield, capacity, schedule, and environmental goals. The MDE role is empowered to bring creativity to Apple's manufacturing approach, enabling us to deliver our best work to as many customers as possible. Partner with multi-functional teams to evaluate design and processes at the concept phase. Develop manufacturing technologies, control strategies and manufacturing methods that achieve ambitious specifications at a mass production scale. Develop and implement cutting-edge processes to deliver on cosmetic and dimensional part characteristics. Compile and evaluate data to figure out appropriate limits and variables for process and part specifications. Work with internal and external groups to ensure proper definition of process expectations and that appropriate fixturing techniques are used for the product. Coordinate all Manufacturing Design Engineering functions for a program, serving as project manager to lead efforts at supplier locations. Conduct process optimization DOEs, combining data-driven and hands-on approaches in tandem, to find solutions to complex challenges. Evaluate and communicate yields of new and existing processes. Drive corrective actions multi-functionally with internal and external team members. You may be asked to lead development in one or more of the following areas: - CNC machining, CNC milling and turning process development, perform simulations on Vericut, validate drawings/CAD, cutting tool design and development, fabrication and cutter life evaluation. Scope appropriate CNC equipment to be used, develop CNC fixtures, evaluate fixture design concepts and prototyping, implement touch probing, lead the reduction of cycle time, development of advanced cutters and coatings, high-speed machining implementation, support programming and optimization of all CNC-related activities at contract manufacturers worldwide. Own yield improvement actions and process change decisions based on statistical process control (SPC) data analysis. - Surface Finishing - Develop new processes for blasting, tumbling, polishing, robotics, wet sanding, lapping, plating, anodizing, and PVD in response to cosmetic, functional, and reliability targets. Ensure that quality and yield requirements are met. Minimum Qualifications: - Bachelor's degree in Engineering (Mechanical Engineering, Industrial Engineering, Manufacturing Engineering, Industrial Technology, Manufacturing systems engineering, Chemical engineering, or similar). - 10+ years of experience in high-volume mechanical product development, manufacturing engineering, tooling engineering, high-precision fabrication, or similar roles. - Hands-on experience in metal cutting (CNC), Robotics, Polishing, Sandblasting, Lapping, Laser Etching, Laser Welding, Adhesive dispensing and/or Process bring up. - A solid understanding of core principles of fixture and automation design (including the use of design software and FEA for stress/structural analysis), Data Analysis, and Design of Experiments. - Experience in developing process DFMs, and driving corrective actions and failure analysis efforts. - Expert level knowledge of GD&T, Stack up Analysis, NX, Siemens Controls, Mastercam, Vericut, JMP/Minitab. - Willingness and ability to travel domestically up to 75%. Preferred Qualifications: - Master's degree in Engineering or PhD (Mechanical Engineering, Industrial Engineering, Manufacturing Engineering, Industrial Technology, Chemical engineering, or similar). - Working knowledge of mechanical quality and reliability concepts, supplier management, and general manufacturing operations. - Project management experience and an understanding of problem-solving tools including design of experiments, root cause analysis, and statistical analytical tools. - Experience in cosmetic parts manufacturing and process control. - Hands-on approach to engineering and problem-solving. - A quick learner who approaches problems flexibly and proactively identifies solutions in the face of challenges. - Experience working with OEMs and Contract Manufacturers. - Innovative and first principles problem-solving approach.,

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. The candidate should have experience in managing Quality / Process Excellence initiatives for large engagements. They must have led/driven Six Sigma and Lean projects and possess the leadership ability to implement Six Sigma projects directed by Master Black Belts (MBB). Comfortable with managing and driving complex process changes, the candidate should have worked in cross-functional teams and demonstrated the ability to drive change in the process. Regular communication is essential to report to both Lean Six Sigma and other improvement initiatives at the Project / Engagement level for better engagement. The ideal candidate should have valid LSS GB (Lean Six Sigma Green Belt) and LSS BB (Lean Six Sigma Black Belt) certificates with good exposure in LSS DMAIC Project implementation. They should have a good business insight and be well-versed with all key IT business requirements. Effective communication skills are crucial to succeed in roles as Six Sigma leaders, mentors, coaches, and trainers. The ability to speak the language of the C-suite and the project floor equally well, along with good problem-solving and presentation skills, is necessary. Knowledge of advanced statistical tools like Minitab tool, JMP, etc., for doing DOE, AVOVA, simulation, etc., and understanding of basic and advanced statistical techniques in Minitab tools is required. Additionally, being an LSS Trainer (@YB, GB level) is preferred. At Capgemini, you can work on cutting-edge projects in tech and engineering with industry leaders or create solutions to overcome societal and environmental challenges. Capgemini is a global business and technology transformation partner, helping organizations accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. With a strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. The Group reported 2023 global revenues of 22.5 billion.,

Our vision is to transform how the world uses information to enrich life for . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. We're on the lookout for an enthusiastic and forward-thinkingengineer to join our team- Global Quality Front End Central Quality Assurance. As a FrontEnd Central Quality Assurance Senior Engineer/Engineer for Micron Technology, Inc. , you will work with a team responsible to perform centralized operation roles supporting Micron Fabs across the network in Asia and US. Your primary areas of responsibility will include setup of rule-base auto-hold and disposition system, execution of product disposition, and lot handling operation. You will be required to interpret electrical and physical characterization data and combine with statistical analysis to identify and propose disposition for deviated materials with Quality and Reliability risk. You will also bridge to various FECTQA counterparts at each fab to provide operation support, as well as engage in global alignment teams to derive and implement corrective and preventive actions. Responsibilities and Tasks include but not limited to Designing and developing comprehensive QA disposition plans and programming them into Micron's Disposition System. Implementing Fab lot disposition for materials affected by planned or unplanned deviations (e.g., Special Work Requests, Fab Conversions, Quality Deviations, and Excursions). Managing disposition operations across multiple fabs, ensuring consistency, traceability, and alignment with global quality standards. Collaborating on the design, validation, and debugging of QA disposition rules to ensure best-in-class performance across the fab network. Demonstrating advanced statistical methods and data science tools to analyze electrical and physical characterization data, identify trends, and assess Quality and Reliability risks. Driving productivity improvements by automating QA disposition processes through software scripting and workflow optimization. Participating in global forums to identify systemic issues, propose innovative solutions, and enhance the overall capability of the quality network. Requirement : Bachelor's degree in electrical, Electronics, Material Science, or a related field (master's preferred). 3+ years of experience in: Electrical and Physical Failure Analysis of semiconductors. Wafer fab manufacturing processes, functional probe, and parametric testing . Statistical data analysis (e.g., JMP, Python, R) and problem-solving in a high-volume manufacturing environment. Multi-fab disposition management and cross-site collaboration. Quality systems, methodologies, and tools (e.g., FMEA, SPC, 8D, CAPA). Strong communication skills in English (verbal and written). Ability to manage multiple priorities and take ownership of broad responsibilities in a dynamic environment.

As a Biostatistician at CPVIA, a clinical data analytics solutions company in Hyderabad, you will utilize your expertise in statistical programming and consulting to support pharmaceutical, biotechnology, and medical device companies. Your primary focus will be on accelerating drug development activities while maintaining high quality standards and cost efficiency through collaboration with a team of experienced professionals. With a minimum of 3 years of experience in the pharmaceutical industry, you will play a crucial role in providing internal statistical support by closely working with lab scientists, technicians, statisticians, and programmers. Your responsibilities will involve collaborating with various stakeholders to facilitate drug development activities and ensure successful project outcomes. To excel in this role, you are required to hold a university degree in Sciences or Engineering, with a post-graduate qualification in Biostatistics or equivalent statistical experience. You should have a strong grasp of statistical theory, diverse methodologies, and experimental designs. Proficiency in SAS, R (and JMP) is essential, along with effective communication skills to bridge theoretical concepts with practical applications. Being a team player is vital as you will be expected to share knowledge within multidisciplinary teams and contribute to study oversight and delivery. Experience in developing protocols, Statistical Analysis Plans (SAP), Tables, Figures, and Listings (TFL) is advantageous. Additionally, your technical skills in power calculation, simulations, and Quality Data Model (QDM) will be valuable assets in this role. If you meet the qualifications mentioned above and are passionate about making a meaningful impact in drug development, we encourage you to apply by submitting your resume to info@cpvia.com. Join us at CPVIA and be part of a dynamic team dedicated to driving innovation and excellence in clinical data analytics.,

Novo Nordisk Global Business Services (GBS) India Department Centralised Monitoring Unit, CDS GBS - Bangalore Are you passionate about what you are doingDo you want to build excellence within processes in the most efficient wayDo you have innovative mindset to drive change in a future-ready environmentAre you best at what you doIf so, raise your hand as there is an exciting opportunity waiting for you as an "Senior Functional Programmer " with us. "" At Novo Nordisk, we assure you will experience the best. About the department Bangalore Global Development since its inception, has transitioned from a small start-up to one of the largest units in Global Business Services, Bangalore (GBS) and a key contributor to Novo Nordisk clinical development portfolio. The Centralised Monitoring Unit (CMU) was established in GBS in 2016 to support the Risk Based Monitoring of clinical trials conducted by Novo Nordisk in line with health authority requirements. The unit is the single and only entity across the globe responsible for performance of centralised medical monitoring for all clinical trials involving medical review of patient data that includes medical monitoring and lab surveillance and generation of visualisations and reports identifying outliers and trends from various data sources. The Position As a Senior Functional Programmer, the role involves generating standard and customized trial monitoring reports to support Risk-Based Quality Monitoring (RBQM) across clinical trial portfolios, using tools like SQL, SAS, Power BI, and Python. Responsibilities include understanding stakeholder needs, programming data-driven reports from multiple clinical systems, and ensuring high-quality deliverables through rigorous quality checks. The role also includes preparing documentation, supporting process improvements, and contributing to training initiatives. Responsible to generate standard and custom trial monitoring reports using languages like SQL, SAS, Python in different BI tools (Qlik Sense, Power BI, SAS JMP Clinical, Clue Point, eClincal etc.) ensuring alignment with stakeholder needs and RBQM requirements. Responsible to prepare, maintain, and peer-review report-related documentation; develop and perform quality checks to ensure accuracy and compliance. Conduct and chair trial monitoring meetings, gather requirements, train stakeholders on report usage, track requests, and manage expectations and timelines. Train and mentor new team members, support onboarding processes, and assist in developing training materials based on project needs. Ensure contributing to process enhancements, share best practices, and support the manager in resource allocation and project timeline planning. Qualifications A Masters or Bachelors degree in Life Sciences, Computer Science, Information Technology, Clinical Information Management, or a related field. Equivalent qualifications or relevant professional certifications will also be considered. 4"“6 years of experience in the pharmaceutical or life sciences industry, with a minimum of 4 years in clinical data management systems, bioinformatics, or as a Clinical Research Associate. Strong technical proficiency in computer systems and IT, particularly as they apply to clinical data handling and process optimization. In-depth understanding of GxP principles, as well as international guidelines and regulations related to drug development. Knowledge of computer system validation practices is essential. Proven experience in project management, team supervision, and mentoring, with the ability to lead cross-functional and cross-regional collaborations effectively. Strong interpersonal and presentation skills, with the ability to communicate complex technical and clinical concepts to both technical and non-technical stakeholders. Solid understanding of the drug development lifecycle, along with working knowledge of basic medical and clinical terminology. Advanced skills in any of the programming languages such as SAS, VBScript, SQL, PL/SQL, Power BI, or Python. Experience with additional tools like JSL, R-Shiny, or Natural Language Processing (NLP) is a strong plus.

Novo Nordisk Global Business Services (GBS) India Department- Clinical Drug Development (CDD) - Bangalore Global Development Does your motivation come from challenges and working in a dynamic environmentDo you thrive in a working environment where close collaboration with key stakeholders and strategic alignment is essentialDo you have a can-do attitude with continuous improvement as one of your career objectivesThen we might have the right position as Statistical Monitor for you. Apply now and join a growing team, working in an international environment. About the department Clinical Data Science, Global Business Services (CDS GBS) was started in September 2007 and within a short span of 16 years since its inception, has transitioned from a small start-up to one of the largest units in GBS and a key contributor to Novo Nordisk clinical development portfolio. As the organisation is growing along with the Research & Development portfolio, we are looking for several new medical Reviewing colleagues. In Clinical Data Science, we are responsible for managing clinical drug development worldwide from early development phases to product introduction. The CMU Bangalore is established in GBS to support the Risk Based Monitoring of clinical trials conducted by Novo Nordisk in line with health authority requirements. The unit is responsible for performance of centralised medical review of patient data that includes medical monitoring and lab surveillance; Statistical Monitoring analysis, and generation of visualisations and reports identifying outliers and trends from various data sources. The Position The Statistical Monitor plays a critical role in supporting Risk-Based Monitoring within Clinical Drug Development by operating and maintaining the centralized Statistical Monitoring function. This position focuses on detecting unusual data patterns, systematic errors, and potential instances of non-compliance or fraud that may not be identified through routine monitoring processes. The Statistical Monitor analyses clinical data across trials and projects to safeguard data integrity, which is essential for the approval of new drug. The role requires a high level of independence, with the potential to mentor junior colleagues and contribute to continuous improvement in data reliability and compliance. Responsible to operate and maintain the Statistical Monitoring function to identify unusual data patterns, systematic errors, and potential protocol non-compliance or fraud across clinical trials and projects. Work closely with trial and project teams, as well as data management and programming experts, to plan and execute statistical monitoring activities according to project timelines. Communicate monitoring observations to relevant stakeholders, support the interpretation of data issues, and contribute to data correction and quality improvement efforts. Contribute to the development, maintenance, and enhancement of statistical monitoring tools and methodologies, including exploring and implementing new techniques. Support training initiatives, participate in meetings and seminars, and foster strong collaboration and knowledge sharing with colleagues and cross-functional teams. Qualifications Holds university degree in life science or engineering (e.g. B.Sc., MSc, MD) or equivalent. 2 years of experience in pharmaceutical industry and preferably 1 year of experience with exploration and/ or visualisation of clinical trial data and scientific data. Experience from clinical development and understanding of data flow. Thorough understanding of clinical research and GCP. Understanding of basic statistical methods, preferably experience from reporting/publishing clinical/scientific data. Good knowledge on computer systems and IT. Exposure with SAS / JMP programming. Worked according to GxP and guidelines within drug development.

Novo Nordisk Global Business Services (GBS) India Department Centralised Monitoring Unit, CDS GBS - Bangalore Are you passionate about what you are doingDo you want to build excellence within processes in the most efficient wayDo you have innovative mindset to drive change in a future-ready environmentAre you best at what you doIf so, raise your hand as there is an exciting opportunity waiting for you as an "Functional Programmer " with us. "" At Novo Nordisk, we assure you will experience the best. About the department Bangalore Global Development since its inception, has transitioned from a small start-up to one of the largest units in Global Business Services, Bangalore (GBS) and a key contributor to Novo Nordisk clinical development portfolio. The Centralised Monitoring Unit (CMU) was established in GBS in 2016 to support the Risk Based Monitoring of clinical trials conducted by Novo Nordisk in line with health authority requirements. The unit is the single and only entity across the globe responsible for performance of centralised medical monitoring for all clinical trials involving medical review of patient data that includes medical monitoring and lab surveillance and generation of visualisations and reports identifying outliers and trends from various data sources. The Position As a Functional Programmer, the role involves generating standard and customized trial monitoring reports to support Risk-Based Quality Monitoring (RBQM) across clinical trial portfolios, using tools like SQL, SAS, Power BI, and Python. Responsibilities include understanding stakeholder needs, programming data-driven reports from multiple clinical systems, and ensuring high-quality deliverables through rigorous quality checks. The role also includes preparing documentation, supporting process improvements, and contributing to training initiatives. Responsible to generate standard and custom trial monitoring reports using languages like SQL, SAS, Python in different BI tools (Qlik Sense, Power BI, SAS JMP Clinical, Clue Point, eClincal etc.) ensuring alignment with stakeholder needs and RBQM requirements. Responsible to prepare, maintain, and peer-review report-related documentation; develop and perform quality checks to ensure accuracy and compliance. Conduct and chair trial monitoring meetings, gather requirements, train stakeholders on report usage, track requests, and manage expectations and timelines. Train and mentor new team members, support onboarding processes, and assist in developing training materials based on project needs. Ensure contributing to process enhancements, share best practices, and support the manager in resource allocation and project timeline planning. Qualifications A Masters or Bachelors degree in Life Sciences, Computer Science, Information Technology, Clinical Information Management, or a related field. Equivalent qualifications or relevant professional certifications will also be considered. Above 3 years of experience in the pharmaceutical or life sciences industry, with a minimum of 2 years in clinical data management systems, bioinformatics, or as a Clinical Research Associate. Strong technical proficiency in computer systems and IT, particularly as they apply to clinical data handling and process optimization. In-depth understanding of GxP principles, as well as international guidelines and regulations related to drug development. Knowledge of computer system validation practices is essential. Proven experience in project management, team supervision, and mentoring, with the ability to lead cross-functional and cross-regional collaborations effectively. Strong interpersonal and presentation skills, with the ability to communicate complex technical and clinical concepts to both technical and non-technical stakeholders. Solid understanding of the drug development lifecycle, along with working knowledge of basic medical and clinical terminology. Advanced skills in any of the programming languages such as SAS, VBScript, SQL, PL/SQL, Power BI, or Python. Experience with additional tools like JSL, R-Shiny, or Natural Language Processing (NLP) is a strong plus.

About the company: Yuzhan Technology (India) Pvt Ltd, part of the Foxconn Industrial Internet (FII) group, is a leading global electronics manufacturer. With operations in over 30 smart factories worldwide and a strong presence in Tamil Nadu, India, we are expanding rapidly and offering exciting career opportunities. As a subsidiary of Hon Hai Technology Group (Foxconn), Yuzhan plays a key role in manufacturing electronic components, including display modules and enclosures for mobile phones. Our company is committed to cutting-edge R&D, AI-driven smart manufacturing, and sustainable industrial solutions Job Description : 1. Basic Manufacturing Process knowledge 2. Strong Engineering drawing knowledge 3. Basic Knowledge on statistical process control, process capability 4. Basic Knowledge on Robot & machine handling 5. Basic Knowledge on Laser welding & Dispensing machine & Process 6. Knowledge on problem solving tools 7. Knowledge on 7QC tools 8. Knowledge on software: JMP, AutoCAD, Microsoft Office 9. Poke Yoke methods & technologies 10. Understanding on Kaizen

Imagine what you could do here. At Apple, innovative ideas have a way of quickly becoming extraordinary products, services, and customer experiences. This is where individual creativities and experiences gather together that leads to great work. Bring passion and dedication to your job and there's no telling what you could accomplish. The people here at Apple don't just create products - they create the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that encourages the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it! Apple MQA is responsible for assuring high quality/process control requirements are sustainably implemented and maintained in Apple supply chain with effective tracking metrics and driving continual improvements in a creative & systemic way. Lead MQA activities in one or multiple lines of businesses, covering multiple suppliers. Setup regular compliance audit and ensure closure of issues on time. Best practice sharing cross vendors/LOBs to continually improve vendor performance. Proactively collaborate with cross functions and setup effective communication with LOB teams/leaders. Lead MQA cross LOB initiatives, such as data integration systems, data programs, efficiency improvement and extend best practices and influence to other product lines. Contractor management (Contractor planning, PO tracking, recruiting. Contractor onboarding support, Assignment and monitoring, Contractor evaluation and budget control). Lead digitalization efforts to move away from paper-based audits to ML & cloud-based audit frameworks. Minimum Qualifications: - Familiarity with mechanical manufacturing processes (machining, assembly, coatings, etc) is a must. - Expert on quality management system, quality procedures, and quality tools (e.g. quality control plan, Measurement system, CPK/SPC, Problem-solving, 8D). Preferred Qualifications: - Working knowledge of mechanical quality and reliability concepts, manufacturing operations management, and mechanical machining/surface finish/assembly. - Can-do attitude and willingness to innovate down to details. Logical thinking. - Excellent presentation and interpersonal skills to influence cross-function team and vendors, able to optimally deliver key information in English. - Hands-on experience on quality management system, process/product audit, certified TS16949/ISO9001 auditor is a plus. - Be familiar with data analysis tools such as Advanced Excel, JMP, Minitab, tableau. Coding (such as python, C++) and machine learning experience, is a plus. - Bachelor's degree in Mechanical Engineering, Industrial Engineering, Manufacturing Engineering, Industrial Technology, Chemical Engineering, Material Engineering, or similar. Submit CV.,

Job Title: Product Engineer Location: Bengaluru Work Type: Full-time | Hybrid Payroll Company- Renesas Brief Description This position is responsible for supporting New Product Introduction (NPI) and other engineering activities of our state-of-the-art GaN semiconductor power electronic devices. This experienced a semiconductor product engineer will work in a cross functional role that involves the ownership of newproducts from concept to qualification as well as supporting other engineering activity including new technology development and sustaining engineering. The role requires coordinating activities across multiple departments (R&D, Design, Epitaxy, Fabrication, Assembly, Test and Reliability, etc.). Description • Lead the NPI process and coordinate the power device products definition, design, fabrication, testing and qualification, taking them from design to production release. • Work closely with technical project leaders, marketing, sales, and manufacturing teams to develop and execute NPI plans. • Negotiate schedules to align with resources and customer requirements. • Track and communicates status, key results, risks, and problems to all stakeholders to ensure alignment of priorities. Schedule and run NPI design review and gate activities. • Monitor and analyze parametric test and qualification results to write engineering reports. • Drive root cause investigations of performance and qualification issues. • Own and support other engineering projects Qualifications • Five years in semiconductor manufacturing, high-voltage power electronics is a plus. • BS in an engineering or science discipline and/or MS in engineering or science. • Experience with APQP design review processes, FMEA, NPI and SPC. • Understanding of semiconductor process and product development, wafer level processing, assembly and test methods. • Exceptional time management skills. • Ability to take initiative and work effectively in teams. • Excellent verbal and written communication skills. • Proficiency with MS Office. • Experience with discrete device testing and semiconductor packaging will be a plus. • Experience with engineering databases (mySQL etc) and statistical analysis using software such as JMP.

As a Silicon Design Validation Engineer at Lattice, you will have the opportunity to work on cutting-edge projects within the Silicon Engineering team. Your primary responsibility will involve validating building blocks in FPGA on board level to ensure functionality and performance align with the design intent. This will include various IPs such as SERDES (PMA/PCS), Memory DDR (DDR4, LPDDR4, DDR5, etc.), DPHY, PLL, DSP, Fabric, and I/O components. In this role, you will develop validation and characterization plans for specific IPs, bench hardware, and software. You will also be responsible for creating test logic RTL to execute validation and characterization tests effectively. Additionally, you will play a key role in driving new silicon product bring-up, validation, and debugging processes to assess IP functionality and performance, ultimately contributing to data sheet preparation. You will collaborate closely with design, verification, manufacturing, test, quality, and marketing teams throughout the product lifecycle, from Silicon arrival to product release. Furthermore, you will provide support to address customer issues post-product release, demonstrating strong written and verbal communication skills and the ability to work effectively in a cross-functional environment. The ideal candidate for this role should possess an Electrical Engineering degree with a strong passion for pursuing a career in Silicon Design Validation. You should have at least 2 years of experience and a solid understanding of High-Speed Serdes Interface characterization, including protocol compliance testing for interfaces like PCIe, Ethernet, SDI, CoaXpress, JESD204, MIPI D-PHY, MIPI CSI/DSI-2, USB, DisplayPort, and HDMI. Moreover, you should have knowledge in high-speed board design, signal integrity evaluation/debugging, Verilog/VHDL, FPGA development tools, and test automation using programming languages like Python and Perl. Familiarity with statistical analysis concepts, tools such as JMP and R, and bench equipment for device characterization will be beneficial. If you are a self-motivated individual with strong problem-solving and critical thinking skills, eager to work in a collaborative and challenging environment, then this role at Lattice may be the perfect opportunity for you to grow and excel in the field of Silicon Design Validation Engineering.,

As a Process Engineer at Lam in the Global Products Group, you will be an integral part of the team dedicated to excellence in the design and engineering of cutting-edge etch and deposition products. Your role involves operating on cutting-edge technology, utilizing atomic precision, material science, and surface engineering to push technical boundaries. By developing new and advanced process formulations, defining equipment hardware, evaluating test data, and coordinating design requirements, you will ensure the compatibility of processing methods. Your expertise and knowledge will significantly impact our customers" success and contribute to the next generation of semiconductor breakthroughs. In this position, you will be responsible for performing professional process engineering research, development, and evaluation to support the company's complex semiconductor capital equipment and systems. You will review processing techniques and methods used in product manufacture, fabrication, and evaluation, with involvement ranging from pilot plant to full-scale manufacturing. Additionally, you may conceive and plan projects involving new concepts and approaches while supporting customer technology managers in planning, data collection, analysis, and reporting of customer demos. You will collaborate with customer and senior engineers to understand roadmaps, process flow, and business challenges. By utilizing internal simulation tools and AI/ML-based strategies, you will drive process development optimization in etch processes. Your role will also involve analyzing data to enhance process performance, yield, and efficiency, as well as working closely with concept and feasibility teams to drive new process innovations and technology roadmaps. As a Process Engineer, you will act as a single point of contact for process-related requests from customers and work cross-functionally within the business unit to contribute to product development and release activities. Your leadership qualities will be demonstrated through acting as a resource for colleagues, leading small projects, and working effectively with cross-functional teams. In this role, a Ph.D. in Materials Science, Chemical Engineering, Chemistry, or Physics with 5+ years of experience, or an M.S. with 8+ years, or a B.S. with 10+ years of relevant work experience is required. Additionally, preferred qualifications include in-depth understanding of Plasma Physics, Reactive Ion Etching (RIE), Atomic Layer Etching (ALE), and other related technologies. At Lam, we believe in fostering a diverse and inclusive environment where every individual can achieve their full potential. Our hybrid work model offers flexibility and collaboration opportunities both on-site and remotely, allowing you to balance your work and personal life effectively. Join us in driving innovation and making a significant impact on the semiconductor industry.,

Your role The candidate should experience in managing Quality / Process Excellence initiative for large engagement. Must have led/driven Six Sigma and Lean projects. She/he need to have the leadership ability to implement the Six Sigma project directed by Master Black Belts (MBB). She/he should be comfortable with managing and driving complex process changes. Must have worked in cross functional teams and demonstrated ability to drive change in the process. Communicate regularly to report to both LSS and other improvement at Project / Engagement level for better engagement. Your profile She/he should have a valid LSS GB (Lean Six Sigma Green Belt) and LSS BB both (Lean Six Sigma Black Belt) certificates Good exposure in LSS DMAIC Project implementation. Good business insight well versed with all key IT business requirement. She/he should have a clear and effective communication skill to succeed in their roles as Six Sigma leaders, mentors, coaches and trainers. Must be able to speak the language of the C-suite and the project floor equally well. Good problem solving and presentation skills. Knowledge of advanced statistical tools like Minitab tool, JMP etc (for doing DOE, AVOVA, simulation etc) Understanding of basic and advanced statistical techniques (in Minitab tools) LSS Trainer (@YB, GB level) What you"ll love about working here Were committed to ensure that people of all backgrounds feel encouraged and have a sense of belonging at Capgemini. You are valued for who you are, and you canbring your original self to work. Every Monday, kick off the week with a musical performance by our in-house band - The Rubber Band. Also get to participate in internalsports events, yoga challenges, or marathons. At Capgemini, you can work oncutting-edge projectsin tech and engineering with industry leaders or createsolutionsto overcome societal and environmental challenges.

Overview This role is a technical lead role within ICC, Hyderabad that will co-ordinate with Data Science and Analytics team on creation of new digital capabilities and sustaining existing digital capabilities. This role will act as the key technical expert dedicated to Foods Packaging Modeling & Simulation development (70%).This role also has the managerial responsibility of leading all DSA-ICC associates (30%). This role will act as one of the key technical specialists for packaging modeling & simulation. This role also will serve as local simulation team Lead to drive overall deliverables. The role will be responsible for performing simulations using FEM, DEM, CFD and other techniques and providing insights that influence the design and development of R&D applications, with focus on Foods Packaging applications. This role will also Collaborate with internal and external stakeholders in a global setting and will support Troubleshooting & Problem Solving to Diagnose and resolve issues related to simulation models and results.This role also is responsible for developing 3DX Apps, Graphical User Interfaces (GUI) and simulation templates. This role will also provide leadership to all simulation and modelling teams ( including other associates ). Responsibilities Lead a team of Modelling, Simulation and other SMES of DSA team ( Including Bev Pkgs Teams) based out of Hyderabad. Provide Strategic direction in alignment with global teams and ensure timely delivery of Committed projects. Functional Responsibilities Deliver Foods Packaging Simulation models and apps per Simulation Roadmap and Timeline above Deliver modeling and simulation projects using 3DX, other general purpose and specialized numerical software. Collaborate with Dassault experts directly on delivering perfect packaging simulation templates and apps Design and develop innovative experiments to validate and improve models. Support other senior simulation engineers on assigned simulation tasks including CAD creation, CAD cleaning, meshing, pre-processing, post processing, creating visuals of data Work with external partners, software vendor, university, engineering firms, to develop technologies needed to fulfil PepsiCo need. Additional responsibilities in combining physics-based simulation, sensor technology, data analytics (AI/ML) to deliver digitized innovation projects (digital twin), Support Computational Chemistry projects by data collection and literature research New technology introduction and implementation Qualifications PhD. with simulation concentration and 8+ years of work experience, MS with 10+ years experience Background in mechanical engineering, solid mechanics or related field Packaging experience with cardboard boxes, films, pallets, is a big plus but not necessary Hands-on experience with commercial software - CFD (ANSYS FLUENT, STAR-CCM+), FEA (ABAQUS, ANSYS Mechanical), DEM (ROCKY, EDEM), COMSOL. Knowledge about computational chemistry (hands on software experience with MOE, Shrodinger a plus) Experience designing and conducting physical testing required to formulate and/or calibrate models, i.e., Wind tunnel, mechanical testing, thermal measurements, Data Acquisition, High speed imagery, etc. Experience with Python, MATLAB, R, JMP a plus. Experience with VR/AR assets creation using KeyShot, Unity, Unreal, or Omniverse a plus. Knowledge and experience in food/beverage production and process engineering a plus extrusion, drying, frying, mixing, filling, food safety. Strong project management and communication skills. Ability to collaborate with internal and external partners in a global setup. Robust understanding of engineering principle with experience in the area of fluid dynamics, thermodynamics and heat transfer. Experience with state-of-the-art modeling software that capable to model multi-physics problem involving multi-phase fluid flow and heat transfer in engineering and manufacturing processes. Knowledge of how to use simulation to evaluate new and novel technologies for PepsiCos innovation in processing/packaging.

As a Biostatistician at CPVIA, a clinical data analytics solutions company based in Hyderabad, you will play a crucial role in providing statistical programming outsource and statistical consulting services to pharmaceutical, biotechnology, and medical device companies. Your primary responsibility will be to offer internal statistical support by collaborating closely with lab scientists, technicians, and other statisticians/programmers within the team. Your expertise will be instrumental in supporting various drug development activities for our clients. To excel in this role, you must have a minimum of 3-10 years of experience in the pharmaceutical industry. A background in Sciences or Engineering at the university level, complemented with a post-graduate degree in Biostatistics or equivalent statistical experience, is essential. Proficiency in SAS, R (and JMP), and a deep understanding of statistical theory across various methodologies and experimental designs are prerequisites for this position. We are looking for a team player who can effectively communicate and collaborate within multidisciplinary teams. Your role will involve contributing to the development of protocols, SAPs, and TFLs, as well as overseeing studies and ensuring timely delivery. Strong technical skills in power calculation, simulations, and QDM will be beneficial in fulfilling the requirements of this role. If you meet the qualifications mentioned above and are passionate about contributing to the acceleration of drug development activities with top-notch quality and cost-effectiveness, we invite you to share your resume with us at info@cpvia.com. Join our experienced and expert team at CPVIA to make a significant impact on the pharmaceutical and biotechnology sectors.,

As a Silicon Design Validation Engineer at Lattice, you will have the opportunity to be part of a dynamic team working on cutting-edge FPGA projects. This role involves validating building blocks in FPGA on the board level to ensure functionality and performance according to design intent. The FPGA includes various IPs such as SERDES (PMA/PCS), Memory DDR (DDR4, LPDDR4, DDR5, etc.), DPHY, PLL, DSP, Fabric, I/O, among others. In this position, you will learn how to validate one or many building blocks within the FPGA and gain knowledge of the process and methodology required for validating IPs from planning to completion. You will work with advanced equipment, boards, and software/tools while developing validation and characterization plans for specific IPs, bench hardware, and software. You will also create test logic RTL to conduct validation and characterization tests, drive new silicon product bring-up, validation, and debug processes, and analyze data sheet parameters. The ideal candidate for this role is highly motivated to develop a career in Silicon Design Validation Engineering. You will have exposure to various areas including FPGA and its building blocks, IP validation, bench hardware and software development, and more. You will lead and manage teams, possess an electrical engineering degree, have expertise in high-speed Serdes interface characterization, high-speed board design, Verilog/VHDL, FPGA development tools, test automation development, statistical analysis concepts, and bench equipment for device characterization. To excel in this role, you should have strong written and verbal communication skills, be self-motivated, proactive, possess critical thinking skills, and demonstrate good problem-solving and debugging abilities. If you thrive in a fast-paced, results-oriented environment and are looking to contribute to a team-first organization, Lattice may be the perfect fit for you.,

Role & responsibilities Primarily works at the Product/Program Level Provide input for budget planning Manage and Deliver assignments with quality and within timelines Possible to have direct reports; Possible to oversee contingent workers and/or vendors; likely to provide training to others; Analyzes needs to manage resources Responsible for statistical aspect of study designs and data analyses for clinical studies Provides study design input and consultation for clinical endpoint assessments and sample size planning Prepares, or oversees the preparation of statistical sections of clinical protocols in collaboration with key stakeholders, as deemed necessary Writes, or oversees the writing of, statistical analysis plans Conducts, or oversees the conduct of, analyses to support clinical study reports, abstracts, manuscripts, and other documents to support the marketing of Teva products Leads the conduct of analyses and document preparation to support global regulatory submissions, including briefing packages, integrated analyses, and regulatory responses. Collaborates with outsourcing partners and oversees conduct of statistical aspects of outsourced studies, as appropriate Proactively assesses and identifies processes that require improvement Participates in department initiatives to further the effectiveness of global statistics Implements innovative and cutting-edge clinical trial design, methodology and analysis Preferred candidate profile Ph.D./MS in Statistics/Biostatistics (or related field)

JOB TITLE: Assistant Manager – R&D Processing, Home Care Bars. LOCATION: Mumbai. About Unilever. With 3.4 billion people in over 190 countries using our products every day, Unilever is a business that makes a real impact on the world. Work on brands that are loved and improve the lives of our consumers and the communities around us. We are driven by our purpose: to make sustainable living commonplace, and it is our belief that doing business the right way drives superior performance. At the heart of what we do is our people – we believe that when our people work with purpose, we will create a better business and a better world.. At Unilever, your career will be a unique journey, grounded in our inclusive, collaborative, and flexible working environment. We don’t believe in the ‘one size fits all’ approach and instead we will equip you with the tools you need to shape your own future.. Role Purpose. To lead the process design strategy for Home Care (HC) Bars, focusing on innovation, technology integration, and digital transformation. The role involves defining process specifications, establishing scale-up protocols, and ensuring seamless implementation across manufacturing platforms.. Key Responsibilities. Develop and execute Design of Experiments (DoE) to define material handling protocols and processing routes for innovation and cost-saving initiatives.. Provide timely technical inputs across critical project workstreams.. Lead manufacturing design lock for key technologies and ensure alignment with strategic objectives.. Define safety foundations and proactively eliminate risks in accordance with the Safety in Manufacture and Supply Approval System (SIMAS) to secure project approvals.. Drive capability building initiatives at AMC-Bars.. Oversee installation and commissioning of plant equipment, author operating manuals, and conduct initial operator training.. Collaborate with Supply Chain to evaluate and enhance return on investment (ROI) for projects.. Ensure product quality through close coordination with Supply Chain teams.. Conduct standard trials and tests for soaps and NSD bars at lab and pilot scales, supported by physical-chemical analysis.. Plan, execute, and report main plant trials with comprehensive data analysis and technical documentation.. Ensure adherence to Unilever’s safety and product standards.. Conduct pilot-scale trials to define process and packaging specifications for new raw materials and blends.. Validate plant-scale changes for impact on capacity, quality, and efficiency.. Maintain system updates reflecting formulation changes (e.g., PFD Tool, BOMs).. Identify recurring production issues and develop troubleshooting protocols.. Draft and implement operating instructions (manuals and SOPs) and train trainers and operators on modified processes.. Utilize digital tools such as Power BI, JMP, iProMPT, Pharos, LIMS, PLM, PFD, and CUC Finder to enhance process efficiency.. Qualifications & Experience. Bachelor’s degree in chemical engineering (BE/B.Tech/B.Sc).. 5–7 years of experience in Research and Development, preferably in NSD Bars formulation and processing.. Proficiency in digital tools for data modeling, process efficiency, and measurement.. Strong knowledge of process control and mechanical instrumentation.. Experience with HAZOPs and safety approval systems.. Skilled in MS Office (Excel, PowerPoint, Word), SAP, and SCADA.. Demonstrated project management and problem-solving capabilities.. Understanding of consumer action standards and process parameter optimization.. Stakeholder Engagement. Internal. Collaborate with Marketing, Supply Chain, Development, Production, and Project teams to ensure successful implementation of new products and technologies.. External. Engage with external partners to source advanced process technologies and integrate them into final design scopes.. Our commitment to Equality, Diversity & Inclusion. Unilever embraces diversity and encourages applicants from all walks of life! This means giving full and fair consideration to all applicants and continuing development of all employees regardless of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage and civil partnership, and pregnancy and maternity.. Show more Show less

Job Description Job Summary We are looking for an experienced process improvement professional who can identify, analyze, and resolve recurring production issues in our legacy product. The ideal candidate will implement data-driven methodologies including Six Sigma principles to reduce defects, optimize processes, and improve overall product reliability and customer satisfaction. Job Summary: We are looking for an experienced process improvement professional who can identify, analyze, and resolve recurring production issues in our legacy product. The ideal candidate will implement data-driven methodologies including Six Sigma principles to reduce defects, optimize processes, and improve overall product reliability and customer satisfaction. Key Responsibilities . Lead DMAIC (Define, Measure, Analyze, Improve, Control) projects to systematically eliminate defects in production processes . Participate in and support SEPG (Software Engineering Process Group) initiatives to improve organizational process capabilities . Implement and maintain CMM (Capability Maturity Model) practices and support process maturity assessments . Perform statistical analysis to identify patterns, trends, and root causes of production issues . Develop and implement process improvement strategies based on statistical evidence . Create and maintain process capability metrics and control charts to track performance improvements . Conduct Failure Mode and Effects Analysis (FMEA) to proactively identify potential failure points . Facilitate Kaizen events and process improvement workshops with cross-functional teams . Implement Statistical Process Control (SPC) methods to maintain process stability . Design experiments (DOE) to optimize process parameters and reduce variability . Develop control plans to sustain improvements and prevent regression . Train and mentor team members on process improvement tools and methodologies . Collaborate with engineering and operations teams to implement process changes Qualifications . Bachelor's degree in Engineering, Statistics, or related technical field . 5+ years of experience implementing process improvement methodologies in production environments . Knowledge of Six Sigma processes . Experience with SEPG (Software Engineering Process Group) activities and implementation . Knowledge of CMM (Capability Maturity Model) framework and process maturity assessments . Demonstrated success in reducing defects and improving process capabilities . Strong understanding of statistical analysis and tools (Minitab, JMP, R, etc.) . Experience with process mapping and value stream analysis . Expertise in root cause analysis techniques (5 Whys, Fishbone Diagrams, Pareto Analysis) . Proven ability to lead improvement projects and change management initiatives . Strong data analysis and visualization skills . Excellent communication and stakeholder management abilities . Experience working with legacy systems and complex processes is highly preferred Technical Skills . Advanced proficiency in statistical analysis methodologies . Experience with process modeling and simulation techniques & methodologies . Knowledge of Lean methodologies and waste elimination . Ability to analyze large datasets and extract meaningful insights . Understanding of production systems and operational workflows . Experience with process documentation and standard work development Preferred Skills . Experience with Lean methodologies and other process improvement frameworks . Experience with production monitoring and alerting systems . Knowledge of industry-specific regulations and standards . Background in reliability engineering or quality systems . Experience in the specific industry our product serves Added advantage Skills . Additional certifications in Lean, Theory of Constraints, or related methodologies . Experience in the specific industry our product serves . Working Knowledge of Six Sigma processes and tools . Additional training or certifications in ITIL, CMMI, or Agile methodologies . Advanced proficiency in statistical analysis software . Experience with process modeling and simulation tools Check Your Resume for Match Upload your resume and our tool will compare it to the requirements for this job like recruiters do.

Tesla's Electronics Supplier Industrialization Engineering team plays a crucial role in developing and qualifying critical component and electronic part top-level assembly processes with our suppliers We provide regional support for New Product Introduction (NPI) and legacy product management within the supply chain This encompasses everything from early supplier sourcing assessments (in collaboration with the Tesla sourcing and design teams) and make-sourcing decisions, to industrialization and quality control activities This position demands excellent communication skills, strong supplier management expertise, a willingness to travel domestically and internationally, and the ability to make critical decisions in time-sensitive situations The role supports a diverse product portfolio, including low/high voltage products, controllers, audio and sensing projects, and optical lens and camera projects, Responsibilities Support Design for Manufacturing (DFM) principles during early product development, providing valuable feedback to NPI SIE (Supplier Industrialization engineer) and design teams, Conduct onsite supplier audit and provide assessment for sourcing decision, develop new suppliers to meet Tesla sourcing requirements, Drive continuous improvement in supplier scalability, cost, and quality performance, Manage and optimize supplier On-Time Delivery (OTD) performance, Oversee supplier production capacity and operations management, Facilitate clear communication of technical requirements between suppliers and Tesla's GSM, SIE, and Design teams, Conduct supplier audits to ensure compliance with part performance, delivery, and reliability expectations, Collaborate with Tesla supply chain teams to establish optimal performance specifications and supplier metrics, Lead, track, and improve supplier manufacturing process development and launch readiness for new products and design changes, Manage and enhance production and product quality Guide suppliers in developing robust processes and procedures for efficient, high-quality product manufacturing, Follow up and drive SCAR (supplier corrective actions review) with supplier Validate supplier corrective actions for design and/or process changes, ensuring they are sustainable and implemented across manufacturing lines and suppliers to prevent recurrence, Contribute to the evaluation of new or alternative materials for improved design, manufacturability, or cost reduction, Requirements Minimum 5 years of experience in supply chain or mechanical engineering; experience with Printed Circuit Board Assemblies (PCBAs), Printed Circuit Boards (PCBs) and PCBA top-level assemblies (TLAs) is highly preferred, BS degree in Electrical, Mechanical, Industrial, or Manufacturing Engineering, or demonstrable equivalent experience and exceptional ability, Proven experience with Design for Manufacturing (DFM) and Design for Assembly (DFA), Practical experience with Six Sigma methodologies; DAMIC experience is a plus, Solid hands-on experience of quality statistical analysis tools and applications (e-g , JMP, Minitab), Strong mechanical background, including statistical tolerance analysis, design quality assessment, and improvement techniques, Proficiency in GD&T and 3D CAD software, Demonstrated supplier development and management skills, Self-motivated and capable of working independently, Hands-on and adaptable to a fast-paced environment, Willingness to travel domestically and internationally up to 50% of the time, often with short notice, to engage with Contract Manufacturers (CMs),

Bachelor's degree in discipline such as Supply Chain, Economic, Manufacturing, Technology, or Data Analytics to bring diversity and different perspectives Minimum 3 years of experience in data analysis with understanding of statistical methods and strong analytical skills Experience with database management, programming, statistical modelling and/or business intelligence (SQL, R, Python, JMP, Tableau, etc.) Experienced with and proficient in Microsoft Office Suite Lateral and logical thinking. The ability to think creatively and outside the box to solve unique and challenging problems Motivated self-starter Strong problem-solving tendencies Willing and able to push boundaries Goal-oriented, with a focus on utilizing data for insight Able to multi-task, prioritize and project manage independently in an environment with competing priorities Experience working in a technical, operational or manufacturing environment with the ability to translate that knowledge into financial opportunities Diverse functional experience, with a desire to use data in negotiations Excellent communication skills and a proven history of excelling in a collaborative environment as a key team player Working closely with technical teams, and other organizations to understand the product and data Finding and interpreting large data sets to help predict costs Learning and understanding Boeing's data resources and knowing when, how, and which to use and which not to use. Identifying, analyzing, and solve systematic problems, while maintaining focus on the bigger picture Working together with the team to ensure data analysis and developed algorithms can be appropriately applied for negotiation support Ensuring data collected, analyzed and presented result in actionable insights for negotiation support Engaging and participating in negotiation support, to bolster the use of data analytics within supplier negotiations Understanding high-level business objectives and continually align those objectives to meet needs of the business.

Primarily works with key stakeholders on the design and analysis of experiments of certain non-clinical studies Internally consults and provides educational support to all Teva scientists (e.g., innovative and generic medicines) with respect to the Analytical Method Development of biologics and small molecules as well as Formulation Development of oral solids, oral liquids, injectables, and aerosols. Support may include delivery devices for the physical state of compounds - especially as it relates to injectables and aerosols Proactively looks for opportunities to enhance the presence of the Teva Non-Clinical Statistics Group internally and externally through the attendance conference/ workshops and authoring posters/ presentations/ publications Manage and Deliver assignments with quality and within timelines Utilizes various software which includes SAS, SAS JMP, R, Excell, Python, etc. for the planning and statistical analysis of non-clinical studies or projects. This may require specialized programming within these software packages for appropriate statistical analyses Familiar with GLP and GMP compliance Authors or reviews the writing of non-clinical statistical reports Proactively assesses opportunities that enhance quality and/ or efficiency Participates in department initiatives to further enhance the effectiveness of Teva GSD Your experience and qualifications Ph.D./MS in Statistics/Biostatistics (or related field) MS with a minimum of 10 years of related experience; PhD with a minimum of 6 years of related experience

3+ years of hands-on CMC experience required with JMP for statistical analysis, including DoE(Design of experiment), statistical approaches: PCA, and PLS. Strong understanding of QbD, PQR, and regulatory guidelines (ICH/FDA) required. Proficiency in SAS/R programming is essential Software: Minitab and JMP

Key Responsibilities: Applies engineering and/or scientific skills to technical processes with support from experienced team members. Participates as a team member, helps define/refine methods, and actively contributes towards team goals. Carries out engineering responsibilities using accepted methods and practical experience. Demonstrates good understanding and applies knowledge of an engineering discipline. Continues to develop capability to create engineering solutions through training and experience. Skills and Knowledge: Knowledge of engine and Genset components, functions, and failure modes. Experience with MS Office tools (Word, PowerPoint, Excel) is preferred. Proficiency in Excel programming (VBA) and Power Pivot is desirable. Familiarity with statistical software packages (e.g., Minitab, Weibull++, Winsmith, JMP, R-Programming) is preferred. Knowledge of engine performance measurement is advantageous. Awareness of warranty data analysis and life data analysis is preferable. Experience in service and quality functions is desirable. Strong analytical skills for handling large datasets and deriving meaningful conclusions. Six Sigma Yellow Belt certification required; Green Belt certification preferred. Experience: Basic relevant work experience desired, such as internship, co-op, or other pertinent work experience. This is a Hybrid role. Qualifications: Master of Science, Bachelor of Science, or equivalent technical degree required. This position may require licensing for compliance with export controls or sanctions regulations. Competencies: Applies Principles of Statistical Methods: Analyzes technical data using descriptive statistics, probability distributions, graphical analysis, and statistical inference; models relationships between response and independent variables using analysis of variance, regression, and design of experiments to make rigorous, data-based decisions. Product Failure Mode Avoidance: Mitigates potential product failure modes by identifying interfaces, functions, functional requirements, interactions, control factors, noise factors, and prioritized potential failure modes and potential failure causes for the system of interest to effectively and efficiently improve the reliability of Cummins products. Product Failure Reporting and Corrective/Preventive Action Systems: Defines and leads a process to record, prioritize, and resolve product failures using cross-functional reviews, rigorous problem-solving methods, failed parts transfer processes, data management tools, and project management practices to effectively and efficiently improve the reliability of the product. Product Problem Solving: Solves product problems using a process that protects the customer; determines the assignable cause; implements robust, data-based solutions; and identifies the systemic root causes and recommended actions to prevent problem reoccurrence. Product Reliability and Reliability Risk Management: Plans and manages critical reliability activities during new product development by preventing failures before hardware, detecting failures before the customer does, and improving products before production in order to release a reliable and durable product; evaluates key technical and program measures to assess the launch readiness of a new product using prescribed indicators, measures, risk scales, and methods of tracking to focus attention on metrics to reduce risk and improve reliability. Quantitative Reliability Analysis: Analyzes failure data from existing and/or new products by establishing failure rate models for use in assessing the feasibility of meeting reliability targets, comparing the reliability of product alternatives, estimating reliability and product coverage costs, identifying emerging issues, or verifying that improvements implemented have had the desired reliability improvement. Reliability Test Planning: Develops and analyzes a test plan acknowledging the relationship among reliability, sample size, distribution parameters, and confidence; develops system-level reliability test plan by considering schedule, number of units, applications, noises, and locations to find unknown failure modes to improve reliability; creates an accelerated test plan by increased use, overstress testing, or combining multiple stresses to build and extrapolate a model to estimate reliability under normal use conditions. Customer Focus: Building strong customer relationships and delivering customer-centric solutions. Global Perspective: Taking a broad view when approaching issues, using a global lens. Values Differences: Recognizing the value that different perspectives and cultures bring to an organization.