United States, Minnesota, Statistical Programmer jobs
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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Teva Sr Manager Statistical Programming United States, Pennsylvania, East Bradford Township
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The Senior Manager, Statistical Programming, provides comprehensive programming leadership for programming deliverables within a product/program. This role is responsible for managing the timely and accurate execution of programming components of clinical trials and supports the development, regulatory approval and market acceptance of Teva Products.
The Senior Manager leads and manages projects that involve global tasks, cross functional teams, or outsourcing resources. The role requires providing inputs to design and analysis, and reporting the results of clinical trials, including programming rules and mocked T/L/G. In addition, the Senior Manager of statistical programming supports improvement initiatives, support change management through communication, training, and stakeholder engagement, and proactively address risks with remediation strategies.
-Primarily works at the product / program level
-Possible to have direct reports; Likely to oversee contingent workers and/or vendors; likely to provide training to others; Analyzes needs to manage resources. Mentor Jr Level programmers on the use of department standardization tools/processes.
-Manages and Delivers assignments with quality and within timelines and provides input for budget planning
-Independently develops, validates, and maintains complex programs and utilities in accordance with predefined specifications and standards.
-Provides strong programming support to CDISC based e-submission. Develop, review, and/or perform validation of generic macros. Develop, debug, and enhance SAS (or any other Statistical software) programs to support quality control of safety or efficacy derived datasets.
-Reviews key planning documents (e.g, Protocol, statistical analysis plan) to ensure alignment with project objectives, contributes to development of data presentation plan (DPP) , programming specifications (eg. SDTM, ADaM specs) , regulatory reviewers guide documents, ensures clarity and completeness of programming requirements, and robustness of assumptions.
-Implement programming standards and comply with regulatory requirements among project team members and across all projects; communicate to management on project status and resource issues.
-Responsible for the standardization of GSD deliverables across study projects within an indication/therapeutic area.
-Contributes to the overall definition of programming rules and standardization across therapeutic areas and/or indication, including supporting visualization capabilities.
-Identifies, supports process and technology improvement initiatives, communicates proactively and effectively around issues and risks and contributes to remediation strategies.
-Leads global projects with cross-functional involvement; demonstrates project management and leadership capabilities.
-Contributes to departmental policies, standards, and best practices.
Your experience and qualifications
Education Required: Bachelor’s Degree OR Master’s Degree in Science, Statistics, Information Technology or equivalent combination of education and related work experience.
Experience Required: Bachelors + 7 year, Masters + 6 years in a pharmaceutical or clinical research setting as a programmer.
Experience Preferred:
Specialized or Technical Knowledge Licenses, Certifications needed:
Functional Knowledge: Expert level of programming skills and problem resolution in SAS or other Statistical programming software. Provide programming and documentation support for SAS (or other Statistical software) system development
Company/Industry Related Knowledge: Advanced knowledge of government regulations pertaining to drug development in multiple therapeutic areas. Strong understanding of clinical data structures (e.g. CDISC). Represent Clinical Programming in healthcare authority inspections.
We offer a competitive benefits package, including:
- Comprehensive Health Insurance: Medical, Dental, Vision, and Prescription coverage starting on the first day of employment, providing the employee enrolls.
- Retirement Savings: 401(k) with employer match, up to 6% and an annual 3.75% Defined Contribution to the 401k plan.
- Time Off: Paid Time Off including vacation, sick/safe time, caretaker time and holidays.
- Life and Disability Protection: Company paid Life and Disability insurance.
- Additional benefits include, but are not limited to, Employee Assistance Program, Employee Stock Purchase Plan, Tuition Assistance, Flexible Spending Accounts, Health Savings Account, Life Style Spending Account, Volunteer Time Off, Paid Parental Leave, if eligible , Family Building Benefits, Virtual Physical Therapy, Accident, Critical Illness and Hospital Indemnity Insurances, Identity Theft Protection, Legal Plan, Voluntary Life Insurance and Long Term Disability and more.
The internal career site is available from your home network as well. If you have trouble accessing your EC account, please contact your local HR/IT partner.
These jobs might be a good fit
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.
These jobs might be a good fit
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
These jobs might be a good fit
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.
These jobs might be a good fit
Amazon Programmer Analyst Data United States, New Jersey, Newark
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ABOUT THIS ROLE
In this key role, you will be at the forefront of shaping and advancing our Data Engineering solutions, primarily through the enhancement of our existing data platform. Additionally, you will collaborate with various elements of our global data ecosystem. Working closely with Global Analytics business stakeholders, your duties will encompass data integration, data modeling, execution of ETL (Extract, Transform, Load) processes, and the implementation of flexible data solutions. These solutions will be meticulously designed with a strong emphasis on data quality, adhering to the best practices in data warehousing. These efforts are crucial for the success of our data-driven initiatives.ABOUT YOU
You are a highly skilled programming specialist who will be actively involved in the design, development, troubleshooting, debugging, evaluation, support, and enhancement of data engineering solutions. You will leverage existing system architectures to expand the capabilities of these applications, with a strong focus on optimizing data pipelines. This will result in more efficient and streamlined data processes, ultimately empowering end users to excel in their tasks with increased effectiveness and efficiency.As a Programmer Analyst, you will...- Develop systems and datasets by applying software engineering best practices, fundamental data management principles, contemporary distributed systems
- Create, maintain, and optimize data pipelines for ingesting, transforming, and loading data from various sources into data storage systems
- Identify and resolve performance bottlenecks in data pipelines, databases, and related systems- Produce technical documentation to support data delivery developmentABOUT AUDIBLE
Basic Qualifications
- Bachelor’s degree or higher in computer science or equivalent
- 1+ years of experience in a Data Warehouse (DWH) environment and experience with Data integration/ETL of large and complex data sets
These jobs might be a good fit
Share
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.
These jobs might be a good fit
