2

Remote Statistical Process Control Jobs in New York

... Mathematics , Statistics , Computer Science , Electrical Engineering , Mechanical Engineering ... Application Process (Takes 20-30 mins to complete) * Upload resume * AI interview based on your ...

Statistician II part-time

Summit, NJ · On-site +1

$75 - $100/hr

Collaborating with cross-functional teams and supporting process improvement through statistical ... control charts, exploratory data analysis, and experimental design. * Are proficient with ...

... Mathematics , Statistics , Computer Science , Electrical Engineering , Mechanical Engineering ... Application Process (Takes 20-30 mins to complete) * Upload resume * AI interview based on your ...

Statistician II part-time

Summit, NJ · On-site +1

$75 - $100/hr

Collaborating with cross-functional teams and supporting process improvement through statistical ... control charts, exploratory data analysis, and experimental design. * Are proficient with ...

Consulting Statistician

New York, NY · On-site +1

$110K - $184K/yr

... remote based, Canada or USA) Statistical Consulting Services * Communicates with clients and ... Our hiring process always includes direct engagement with a recruiter or hiring manager, and we ...

AI Engineer, Industrial

New York, NY · On-site +1

$76K - $103K/yr

Work with domain experts to translate scientific, engineering, process control, and operational ... Remote-based working model with meaningful collaboration across global teams and regular travel for ...

Sr Statistical Modeler

Manhattan, NY · On-site +1

$125K - $209K/yr

... version control workflows. * Ability to independently execute complex analytical work within ... We are committed to providing a fair and accessible hiring process. If you have a disability or ...

next page

Showing results 1-20

Remote Statistical Process Control information

What is the difference between Remote Statistical Process Control vs Remote Quality Analyst?

AspectRemote Statistical Process ControlRemote Quality Analyst
CredentialsStatistical certifications, engineering backgroundQuality assurance certifications, analytical skills
Work EnvironmentManufacturing, production settings, data analysisQuality departments, inspection, testing environments
Industry UsageManufacturing, industrial sectorsHealthcare, manufacturing, service industries
Job FocusMonitoring and controlling processes using statistical methodsEnsuring product quality and compliance

Remote Statistical Process Control specialists focus on analyzing manufacturing data to optimize processes, while Remote Quality Analysts concentrate on maintaining product quality standards. Both roles require analytical skills and industry knowledge but differ in their primary objectives and work environments.

Is SPC still relevant today?

Statistical Process Control (SPC) remains highly relevant for remote SPC professionals, as it is a fundamental method for monitoring and controlling manufacturing and business processes. The use of software tools and data analysis skills continues to enhance SPC effectiveness in quality management across industries. Staying current with statistical techniques and automation tools is important for success in this field.

Is SPC lean or six sigma?

Statistical Process Control (SPC) is a set of tools used within both Lean and Six Sigma methodologies to monitor and control processes. While SPC is a core component of Six Sigma for reducing variation, it is also used in Lean to identify inefficiencies, making it applicable in both approaches depending on the context. SPC skills are valuable for professionals working in process improvement roles, often requiring familiarity with control charts and data analysis tools.

What are the 7 tools of SPC?

The 7 tools of Statistical Process Control (SPC) are used to analyze and improve manufacturing processes. They include the Pareto chart, cause-and-effect diagram, control chart, histogram, scatter diagram, flowchart, and check sheet. These tools help SPC professionals identify variations, monitor process stability, and implement quality improvements.

What is Remote Statistical Process Control?

Remote Statistical Process Control (SPC) refers to the use of statistical methods and software to monitor, control, and improve manufacturing or business processes from a remote location. By collecting and analyzing data in real time, SPC professionals can detect variations, identify trends, and recommend corrective actions without being physically present at the production site. This approach helps organizations maintain product quality, reduce defects, and improve efficiency, especially in environments where on-site monitoring is not feasible. Remote SPC often involves the use of cloud-based tools and secure data transmission to ensure effective oversight.

How does a Remote Statistical Process Control specialist typically collaborate with on-site teams to ensure process quality?

Remote Statistical Process Control (SPC) specialists frequently work with on-site production and quality teams through virtual meetings, shared dashboards, and collaborative data analysis tools. They provide actionable insights by monitoring real-time process data, identifying trends or anomalies, and recommending corrective actions. Effective communication is crucial, as remote SPC specialists must clearly convey findings and support implementation of process improvements. Regular coordination ensures that remote oversight aligns with on-site operational goals and compliance requirements.

Which software is used for SPC?

In a remote statistical process control role, common software used includes Minitab, JMP, and InfinityQS, which provide tools for data analysis, control charts, and process monitoring. Proficiency in these programs is often required, along with understanding of SPC principles and data collection methods.

What are the key skills and qualifications needed to thrive as a Remote Statistical Process Control Specialist, and why are they important?

To thrive as a Remote Statistical Process Control Specialist, you need strong analytical skills, a solid understanding of statistics, and experience in quality assurance, often supported by a degree in engineering, mathematics, or a related field. Proficiency with statistical software tools like Minitab, JMP, or SPC modules within ERP systems, as well as familiarity with Six Sigma or similar certifications, is typically required. Attention to detail, problem-solving, and effective remote communication are essential soft skills for interpreting data trends and collaborating with distributed teams. These skills ensure accurate process monitoring, timely quality improvements, and efficient coordination, which are critical for maintaining manufacturing standards remotely.
What are the most commonly searched types of Statistical Process Control jobs in New York? The most popular types of Statistical Process Control jobs in New York are:
What are popular job titles related to Remote Statistical Process Control jobs in New York? For Remote Statistical Process Control jobs in New York, the most frequently searched job titles are:
What job categories do people searching Remote Statistical Process Control jobs in New York look for? The top searched job categories for Remote Statistical Process Control jobs in New York are:
What cities in New York are hiring for Remote Statistical Process Control jobs? Cities in New York with the most Remote Statistical Process Control job openings:

Principal Statistical Programmer (Remote)

Everest Clinical Research

Bridgewater, NJ • On-site, Remote

$112K - $175K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago


Key responsibilities

  • Lead statistical programming projects by coordinating study teams, overseeing timelines, assigning tasks, interacting with clients, and ensuring programming deliverable quality.

  • Perform hands-on primary statistical programming and validation programming on assigned projects, including clinical trials and regulatory requests.

  • Create and perform quality control review of SDTM mapping specifications, ADaM data specifications, define.xml files, and other programming deliverables.


Job description

Everest Clinical Research ("Everest") is a full-service contract research organization (CRO) providing a broad range of expertise-based clinical research services to worldwide pharmaceutical, biotechnology, and medical device industries. We serve some of the best-known companies and work with many of the most advanced drugs, biologics, and medical devices in development today.
Everest has been an independent CRO since 2004 with a strong foundation as a statistical and data management center of excellence. Building on this foundation, Everest has successfully developed and established itself as a full-service CRO. Everest's headquarters are located in Markham (Greater Toronto Area), Ontario, Canada with additional sites in Bridgewater, New Jersey, USA, Taipei, Taiwan, and Shanghai (Pudong Zhangjiang New District), China.
Everest is known in the industry for its high quality deliverables, superior customer service, and flexibility in meeting clients' needs. A dynamic organization with an entrepreneurial origin, Everest continues to experience exceptional growth and great success.
Quality is our backbone, customer-focus is our tradition, flexibility is our strength...that's us...that's Everest.
To drive continued success in this exciting clinical research field, we are seeking committed, skilled, and customer-focused individuals to join our winning team as Principal Statistical Programmer for our Bridgewater, New Jersey, USA on-site location, or remotely from a home-based office anywhere in the USA in accordance with our Work from Home policy.
Key Accountabilities:
  1. Lead projects with higher level of complexity/challenges/difficulties. Lead efforts to resolve complex statistical programming issues or problems.
  2. Perform a leadership role in statistical programming projects by coordinating study team(s), overseeing timelines, assigning and following up on programming tasks, interacting with clients, and ensuring quality of programming deliverables.
  3. Assist statistical programming management in properly planning and allocating resources based on timelines, statistical programmers' skills and expertise, as well as availability.
  4. Participate in developing and maintaining clinical trial data and statistical programming standards to ensure the company standards are up to date and in line with pharmaceutical industry standards, conventions, and regulatory requirements.
  5. Perform hands on primary statistical programming and validation programming on assigned projects including but not limited to phase I - IV clinical trials, integrated clinical summaries, responses to requests from regulatory agencies, publication support, data explorations, data monitoring committee meetings, etc.
  6. Create SDTM mapping specifications and ADaM data specifications. Perform quality control (QC) review of these documents prepared by others.
  7. Create SDTM and ADaM define.xml files. Perform QC review of these files prepared by others.
  8. Perform 3rd level QC review on programming deliverables before their release to the clients.
  9. Perform QC review/assessment on regulatory submission programming documents, datasets, tables/listings/graphs (TLGs), and computer programs, etc.
  10. May lead programming efforts for drug development programs or for assigned client clusters.
  11. Provide training, mentorship, and technical guidance to less experienced Statistical Programmers or Biostatisticians who perform statistical programming.
  12. Monitor the compliance and adherence to the established data and programming standards, and statistical programming governing documents.
  13. May represent the company in interactions with clinical trial sponsors with regard to statistical programming projects and relevant businesses.
  14. Participate in the development of statistical programming policies, SOPs, guidelines, and good working practices.
  15. Participate in statistical programming project bidding or bid defense meetings.
  16. Work with document management specialists/archivists to plan and perform archival of the statistical programming datasets, outputs, documents, and final programs upon the completion of the assigned projects. Perform transfer of the archived files to the clinical trial sponsors.

Qualifications and Experience:
  1. M.Sc., M.A. or higher degree in Statistics, Biostatistics, Computer Science, or relevant fields.
  2. 10 (M.Sc., M.A.)/9 (Ph.D.) years' related experience.
  3. An in-depth knowledge of clinical trial data processing and manipulation, hands on statistical programming and analysis, requirements for assembling and presenting trial results to regulatory agencies. Knowledge of industry standards on how clinical trial data are structured, stored, analyzed, and presented. Knowledge of clinical trial regulatory and ICH requirements.
  4. Must demonstrate ability to effectively plan, control, and carry on tasks in SAS programming, statistical analysis, and submission of trial data and results to regulatory agencies. Must possess in-depth level understanding of the concept of standardization in data, programming, and statistical reporting of trial results, and its implication to the relevant functions and operations. Must have sound technical judgment and experience in process design and implementation in relevant areas. Strong leadership and drive to achieve goals will be required.

Benefits & Compensation:
We offer a robust benefits package to support your health, well-being, and growth, including medical, dental, and vision coverage, life & AD&D insurance, short- and long-term disability, tuition reimbursement, fitness reimbursement, employee assistance program (EAP), a 401(k) retirement, generous paid time off and sick leave, and the opportunity to earn a performance based bonus.
Estimated Salary Range: $112,000 - $175,000
To find out more about Everest Clinical Research and to review other opportunities, please visit our website at www.everestclinical.com
We thank all interested applicants, however, only those selected for an interview will be contacted.
Everest is committed to upholding the principles of dignity, independence, integration, and equal opportunity. We welcome and encourage applications from people with disabilities, and upon request we will provide accommodations for candidates participating in any part of our recruitment and selection process.
#INDHP
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.