United States, Minnesota, Statistician jobs
Boston Scientific Principal Statistician - DFSS United States, Massachusetts, Marlborough
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About This Role:
Principal Statistician, you will play a pivotal role in shaping the future of innovation at Boston Scientific. You will provide technical and statistical leadership that empowers teams within Endoscopy and across our global network to deliver breakthrough solutions. Your expertise will be instrumental in driving new product development from concept to launch, ensuring that every decision is grounded in robust data and statistical insight.
You will be a key mentor and trusted advisor, not only for our R&D organization but also for cross-functional teams worldwide. By fostering a culture of learning and continuous improvement, you will elevate the statistical & problem solving acumen of engineers, scientists, and technical professionals, helping them translate complex data into actionable strategies that accelerate product development.
Most importantly, your work will directly contribute to launching innovative products that advance patient care. By guiding teams through the rigorous application of statistical methods, you will help ensure our products meet the highest standards of quality and safety to make a tangible difference in the lives of patients around the world.
Your responsibilities will include:
- Provide statistical expertise and support to R&D using statistical methods associated with product and process development, design assurance, and problem-solving in root cause investigations.
- Interpret data and provide insight on the underlying factors driving the results to advise engineers on the best strategies to move forward, not just on the data analysis
- Apply a variety of statistical analyses and techniques to data generated by R&D, Process Development, and other technical groups.
- Create and maintain statistics-related procedures and tools for the Marlborough site and the global network.
- Collaborate with Global Statisticians and cross-functional teams working towards continual improvement of the application and use of statistics across various projects and business initiatives.
- Identify and lead projects that improve efficiencies in product and process development through designed experiments, reduced sampling methodologies, and advanced or automated data analysis.
- Provide feedback to cross-functional development teams during design reviews on the application and insights from statistical analysis tools.
- Develop and deliver training (classroom and virtual options) on the appropriate use of statistical methods with R&D, Process Development, and other technical groups.
- Perform ad hoc statistical analyses and provide guidance as required.
- Demonstrate a primary commitment to patient safety and product quality by maintaining compliance with the Quality Policy and all other documented quality processes and procedures.
Required qualifications:
- Bachelor's degree in Mathematics, Statistics, Physics, or Engineering
- 8+ years' experience in an industry role, preferably within medical devices; experience in a regulated environment is required
- 5+ years' experience using Minitab, Design Expert, or other relevant statistical software
- Proven ability to apply statistical analysis in a professional setting; highly self-motivated and results-driven
Preferred qualifications:
- Master’s or PhD in Mathematics, Statistics, Engineering, or a related field
- Experience working in or closely with R&D or Development Engineering teams
- Demonstrated application of statistical tools to support project deliverables (e.g., test method validation, design verification testing)
- Six Sigma Black Belt or Master Black Belt certification
Compensation fornon-exempt (hourly), non-sales rolesmay also include variable compensation from time to time (e.g., any overtime and shift differential) and annual bonus target (subject to plan eligibility and other requirements).
Compensation forexempt, non-sales rolesmay also include variable compensation, i.e., annual bonus target and long-term incentives (subject to plan eligibility and other requirements).
For MA positions:It is unlawful to require or administer a lie detector test for employment. Violators are subject to criminal penalties and civil liability.
Please be advised that certain US based positions, including without limitation field sales and service positions that call on hospitals and/or health care centers, require acceptable proof of COVID-19 vaccination status. Candidates will be notified during the interview and selection process if the role(s) for which they have applied require proof of vaccination as a condition of employment. Boston Scientific continues to evaluate its policies and protocols regarding the COVID-19 vaccine and will comply with all applicable state and federal law and healthcare credentialing requirements. As employees of the Company, you will be expected to meet the ongoing requirements for your roles, including any new requirements, should the Company’s policies or protocols change with regard to COVID-19 vaccination.
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Amazon Applied Science Internship - United States United States, California, San Francisco
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NOTE: This position shall primarily support second shift operations (~1430hrs - 2230hrs). In future, there may be rotation with first shift operations.Key job responsibilities
- Actively support and foster a culture of inclusion.
- Own Process optimization and cost reduction initiatives for sustaining processes.
- Perform critical process reviews including Risk and Hazard assessments.
- Development and Validation of processes specific to NPI programs.
Benefits summary:1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
- Bachelor’s degree in Mechanical Engineering, Industrial Engineering or related discipline.
- 5+ years’ experience in manufacturing environment and knowledge of GMP.
- Experience with Project Management tools.
- Experience in New Product Introduction environment including Phase-Gate process experience.
- Experienced CAD user, demonstrated capabilities in AutoCAD and SolidWorks.
- Experience using industry Problem Solving Tools such as 8D, Fishbone/Cause-Effect, or CAPA methodology.
- Experience using Quality & Statistical tools such as PFMEA, control charting, pareto, and histograms.
- Experience and proven skill in written and verbal business communications, organizational communications, reporting metrics.
Preferred Qualifications
- MBA or advanced Engineering degree preferred.
- Proven ability to manage and deliver projects with accelerated schedules.
- Proven analytical approach to problem-solving.
- Experience in manufacturing / process improvement (eg. Lean-Six Sigma).
- Experience with Manufacturing Execution Systems (MES), ERP systems, and Tool / Equipment programming.
- Self-motivated and able to solve problems independently and in team settings.
- Experience with Process Optimization Tools including Programming, Mapping, Simulation or various algorithms.
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Amazon Applied Science Internship - United States United States, California, San Francisco
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Key job responsibilities
- Develop novel, scalable algorithms and modeling techniques that advance the state-of-the-art in areas at the intersection of LLMs and generative AI for robotics
- Tackle challenging, groundbreaking research problems on production-scale data, with a focus on robotic perception, manipulation, and control
- Are enrolled in a Bachelor's degree or above
- Are 18 years of age or older
- Work 40 hours/week minimum and commit to 12 week internship maximum
- Can relocate to where the internship is based
- Experience programming in Java, C++, Python or related language
Preferred Qualifications
- Have publications at top-tier peer-reviewed conferences or journals
- Experience in designing experiments and statistical analysis of resultsPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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Amazon Fall Applied Science Internship - United States United States, Washington, Seattle
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Must be eligible and available for a full-time (40h/ week) 12 week internship between July 2025 and December 2025Key job responsibilities
- Develop novel, scalable algorithms and modeling techniques that advance the state-of-the-art in areas at the intersection of LLMs and generative AI for robotics
- Tackle challenging, groundbreaking research problems on production-scale data, with a focus on robotic perception, manipulation, and control
- Are enrolled in a PhD
- Are 18 years of age or older
- Work 40 hours/week minimum and commit to 12 week internship maximum
- Can relocate to where the internship is based
- Experience programming in Java, C++, Python or related language
Preferred Qualifications
- Have publications at top-tier peer-reviewed conferences or journals
- Experience in designing experiments and statistical analysis of resultsPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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Amazon Applied Science Internship - United States United States, Washington, Seattle
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A successful candidate will be a self-starter comfortable with ambiguity, strong attention to detail, and the ability to work in a fast-paced, ever-changing environment. As an Applied Science Intern, you will own the design and development of end-to-end systems. You’ll have the opportunity to create technical roadmaps, and drive production level projects that will support Amazon Science. You will work closely with Amazon scientists, and other science interns to develop solutions and deploy them into production. The ideal scientist must have the ability to work with diverse groups of people and cross-functional teams to solve complex business problems.
- Are enrolled in a Master's degree
- Are 18 years of age or older
- Work 40 hours/week minimum and commit to 12 week internship maximum
- Can relocate to where the internship is based
- Experience programming or scripting language like Python, Java, C or C++
Preferred Qualifications
- Have publications at top-tier peer-reviewed conferences or journals
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Amazon Fall Applied Science Internship - United States United States, California, San Francisco
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Must be eligible and available for a full-time (40h / week) 12 week internship between July 2025 and December 2025.Key job responsibilities
- Develop novel, scalable algorithms and modeling techniques that advance the state-of-the-art in areas at the intersection of LLMs and generative AI for robotics
- Tackle challenging, groundbreaking research problems on production-scale data, with a focus on robotic perception, manipulation, and control
- Are enrolled in a Bachelor's degree or above
- Are 18 years of age or older
- Work 40 hours/week minimum and commit to 12 week internship maximum
- Can relocate to where the internship is based
- Experience programming in Java, C++, Python or related language
Preferred Qualifications
- Have publications at top-tier peer-reviewed conferences or journals
- Experience in designing experiments and statistical analysis of resultsPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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JPMorgan Software Engineer Program - Full-time United States February... United States, Delaware, Wilmington
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About the Program
As a Software Engineer in the Software Engineer Program (SEP) at JPMorgan Chase, you will embark on a global two-year career development journey. This program is designed to equip you with essential technical and professional skills, enabling you to build strong networks and establish a successful career with us. You will have opportunities for job growth, accelerated career advancement, and career mobility.
We will be filling our classes on a rolling basis. We strongly encourage you to submit your application as early as possible before job postings close.
Job Responsibilities
- Execute basic software solution, design, development, and technical troubleshooting
- Write secure and high-quality code using the syntax of at least one programming language with peer guidance
- Interpret architecture and design representations as well as nonfunctional requirements to develop secure, stable software against a defined architecture
- Apply automation to reduce manual toil in the Software Development Life Cycle
- Gather, analyze, and synthesize basic data sets to troubleshoot technical issues and generate insights for continuous improvements.
- Breaks down routine technical tasks to troubleshoot and solve issues
- Work and share ideas, information and innovation with our team of technologists from all over the world.
- Participate in our Force for Good program to build real-world sustainable technology solutions for social good organizations.
Required qualifications, capabilities, and skills
- Pursuing a B.A., B.S. or 5th year M.A. or M.S. with expected graduation between August 2025, and December 2025
- You should have graduated and be available to start full time employment in February 2026
- A well-rounded academic background
- Baseline knowledge of software, applications and technical processes within a given technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
- Ability to work effectively in large, collaborative teams to achieve organizational goals, with a commitment to fostering an inclusive and innovative culture.
- Foundational knowledge of programming languages (e.g., Python, React, JavaScript, Java, C++, C#), databases, data structures and algorithms
- Understanding of software skills including business analysis, development, maintenance, and software improvement.
- Proficiency in developmental toolsets
- Basic knowledge of industry-wide technology trends and best practices
- Exposure to agile methodologies, including CI/CD, Application Resiliency, and Security.
Preferred qualifications, capabilities, and skills
- Computer Science and/or Engineering majors are preferred
- Strong interpersonal and communication skills
- Ability to thrive in a fast-paced, collaborative environment
- Exceptional problem-solving ability
- Exposure to cloud technologies
- Experience with relational databases
Locations you may join:
- Austin, TX
- Chicago, IL
- Columbus, OH
- Houston, TX
- Jersey City, NJ
- New York Metro, NY
- Palo Alto, CA
- Plano, TX
- Tampa, FL
- Wilmington, DE
About You
If you're ready to put your passion for technology to work in a way that makes a real difference, you’ll find your place in our Software Engineer Program.
Help us learn about you by submitting a complete and thoughtful application, which includes your resume. Your application and resume is a way for us to initially get to know you, so it’s important to complete all relevant application questions so we have as much information about you as possible.
After you confirm your application, we will review it to determine whether you meet certain required qualifications. If you are advanced to the next step of the process, you’ll receive an email invitation to complete a coding challenge powered by HackerRank.
HackerRank is required, and your application will not be considered for further review until you have completed this step. We strongly encourage that you apply and complete these required elements as soon as possible, since programs will close as positions are filled.
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Share
About This Role:
Principal Statistician, you will play a pivotal role in shaping the future of innovation at Boston Scientific. You will provide technical and statistical leadership that empowers teams within Endoscopy and across our global network to deliver breakthrough solutions. Your expertise will be instrumental in driving new product development from concept to launch, ensuring that every decision is grounded in robust data and statistical insight.
You will be a key mentor and trusted advisor, not only for our R&D organization but also for cross-functional teams worldwide. By fostering a culture of learning and continuous improvement, you will elevate the statistical & problem solving acumen of engineers, scientists, and technical professionals, helping them translate complex data into actionable strategies that accelerate product development.
Most importantly, your work will directly contribute to launching innovative products that advance patient care. By guiding teams through the rigorous application of statistical methods, you will help ensure our products meet the highest standards of quality and safety to make a tangible difference in the lives of patients around the world.
Your responsibilities will include:
- Provide statistical expertise and support to R&D using statistical methods associated with product and process development, design assurance, and problem-solving in root cause investigations.
- Interpret data and provide insight on the underlying factors driving the results to advise engineers on the best strategies to move forward, not just on the data analysis
- Apply a variety of statistical analyses and techniques to data generated by R&D, Process Development, and other technical groups.
- Create and maintain statistics-related procedures and tools for the Marlborough site and the global network.
- Collaborate with Global Statisticians and cross-functional teams working towards continual improvement of the application and use of statistics across various projects and business initiatives.
- Identify and lead projects that improve efficiencies in product and process development through designed experiments, reduced sampling methodologies, and advanced or automated data analysis.
- Provide feedback to cross-functional development teams during design reviews on the application and insights from statistical analysis tools.
- Develop and deliver training (classroom and virtual options) on the appropriate use of statistical methods with R&D, Process Development, and other technical groups.
- Perform ad hoc statistical analyses and provide guidance as required.
- Demonstrate a primary commitment to patient safety and product quality by maintaining compliance with the Quality Policy and all other documented quality processes and procedures.
Required qualifications:
- Bachelor's degree in Mathematics, Statistics, Physics, or Engineering
- 8+ years' experience in an industry role, preferably within medical devices; experience in a regulated environment is required
- 5+ years' experience using Minitab, Design Expert, or other relevant statistical software
- Proven ability to apply statistical analysis in a professional setting; highly self-motivated and results-driven
Preferred qualifications:
- Master’s or PhD in Mathematics, Statistics, Engineering, or a related field
- Experience working in or closely with R&D or Development Engineering teams
- Demonstrated application of statistical tools to support project deliverables (e.g., test method validation, design verification testing)
- Six Sigma Black Belt or Master Black Belt certification
Compensation fornon-exempt (hourly), non-sales rolesmay also include variable compensation from time to time (e.g., any overtime and shift differential) and annual bonus target (subject to plan eligibility and other requirements).
Compensation forexempt, non-sales rolesmay also include variable compensation, i.e., annual bonus target and long-term incentives (subject to plan eligibility and other requirements).
For MA positions:It is unlawful to require or administer a lie detector test for employment. Violators are subject to criminal penalties and civil liability.
Please be advised that certain US based positions, including without limitation field sales and service positions that call on hospitals and/or health care centers, require acceptable proof of COVID-19 vaccination status. Candidates will be notified during the interview and selection process if the role(s) for which they have applied require proof of vaccination as a condition of employment. Boston Scientific continues to evaluate its policies and protocols regarding the COVID-19 vaccine and will comply with all applicable state and federal law and healthcare credentialing requirements. As employees of the Company, you will be expected to meet the ongoing requirements for your roles, including any new requirements, should the Company’s policies or protocols change with regard to COVID-19 vaccination.
These jobs might be a good fit
