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Statistical Process Jobs in Fishkill, NY (NOW HIRING)

Poughkeepsie City School District

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School Information Systems Data Manager

Poughkeepsie, NY · On-site

$85K/yr

... processes for report cards, progress reports and other system-generated communication to parents and community; 8. Monitors accuracy of data, statistics and reports, in compliance with all applicable ...

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Statistical Process information

Do statisticians make a lot of money?

Statisticians typically earn a competitive salary, with median annual wages above the national average in many regions. Salaries vary based on experience, education, industry, and location, and advanced skills in data analysis and statistical software can lead to higher compensation.

What do you mean by statistical process?

A statistical process in a job context refers to the use of statistical methods and data analysis to monitor, control, and improve manufacturing or business processes. It involves collecting data, analyzing variation, and applying tools like control charts to ensure quality and efficiency. Knowledge of statistical software and quality standards such as Six Sigma is often required for this role.

What is the difference between Statistical Process vs Data Analyst?

AspectStatistical ProcessData Analyst
Required CredentialsStatistics degree, certifications in statistical methodsStatistics, data science, or related degree
Work EnvironmentManufacturing, quality control, process improvementBusiness, finance, marketing, or healthcare sectors
Employer & Industry UsageManufacturing firms, quality assurance teamsCorporations, consulting firms, research organizations
Common Search & ComparisonYesNo

Statistical Process roles focus on applying statistical methods to improve manufacturing and quality processes, often within industrial settings. Data Analysts interpret data to support business decisions across various industries. While both roles require strong statistical skills, their work environments and applications differ significantly.

What career can you do with statistics?

A career in statistics includes roles such as statistician, data analyst, data scientist, quality analyst, and research scientist. These jobs involve analyzing data, creating models, and interpreting results using tools like R, Python, or SAS, often requiring strong analytical skills and knowledge of statistical methods.

What job should I do if I like statistics?

A career as a statistical process analyst involves applying statistical methods to improve manufacturing or business processes. This role requires strong analytical skills, proficiency with statistical software, and understanding of quality control principles. Other related jobs include data analyst, data scientist, or operations analyst, which also involve working with data and statistical tools.
Statistical Process jobs near you

Scientist III

Fladger Associates

Ridgefield, CT • On-site

Contractor

Posted 3 days ago

Job description

Ridgefield, CT
Contract Duration: 12-24 months
Rate: Negot

Responsibilities:

  • Excellent employment opportunity for a Scientist III in the Ridgefield, CT area.
  • Design, implement and/or deploy NGS data analysis workflows for data processing, visualization, integration and mining to support novel therapeutic target identification and disease biomarker discovery
  • Data Analysis: Implement methods for omics data analysis, and interpretation of genomic data sets (e.g., bulk RNA-seq, scRNA-seq, ATAC-Seq)
  • Data Visualization: Fluency in contemporary data visualization methods like R Shiny, D3
  • Data Integration: Analyzing diverse datasets (multi-omics) to find relevant drug discovery targets and downstream effects relevant to immune disease
  • Data Mining: Internal, collaborative, and public databases to assist in the characterization of immune disease
  • Select and benchmark methods and tools, define and perform appropriate QC measures
  • Apply and develop innovative analysis approaches when standard methods are not adequate
  • Interpret and present analysis results to coworkers and collaborators
  • Follow relevant scientific literature to ensure use of optimal methods and understand emerging practices across the field
  • Demonstrates the ability to interpret the outcome of experiments, propose appropriate follow-up, and may propose new avenues of investigation
  • Communicates own work effectively orally and in writing; contributes to writing protocols, procedures, and technical reports
  • Automate processing and results reporting and delivery
  • Reports and treats data with a high level of integrity and ethics
  • Complies with applicable regulations; Maintains proper records in accordance with SOPs and policies

Experience:

  • Master's Degree from an accredited institution with one-plus (1+) years of experience in a related Scientific discipline (Computer Science, Genomics, Biostatistics or Bioinformatics preferred) OR Bachelor's Degree from an accredited institution with seven-plus (7+) years of experience in a STEM discipline.
  • Strong Scientific understanding and experience in Bioinformatics
  • Experience in Pharmaceutical research a plus
  • The successful candidate will have experience with more than one of the following: analyzing next-generation sequencing (NGS), functional genomics, statistics for big data analysis, or multi-omics data integration
  • Good knowledge of existing bioinformatics databases and file formats In-depth understanding of computational methods for NGS analysis and the usage of public data resources required
  • Strong hands-on skills in relevant programming languages (e.g., R, Python, Shiny, UNIX/Linux, UNIX bash shell scripting, Nextflow), statistical software, cloud computing, visualization tools, and relevant R/Bioconductor packages
  • Demonstrated ability to produce well-designed and documented code
  • Familiarity with computational biology tools and experience working with computational biologists to solve problems
  • Ability to troubleshoot both individually and as part of a team
  • Excellent oral and written skills with the ability to communicate in an open, transparent, timely and consistent manner
  • Skills: BIOINFORMATICS, BIOSTATISTICS, DATABASES, GENOMICS, LINUX
  • Additional Skills: PYTHON, SCRIPTING, SHELL SCRIPTING, SHINY, UNIX, UNIX/LINUX, VISUALIZATION, WRITING PROTOCOLS, DATA ANALYSIS, DATA INTEGRATION, DATA MINING, DATA VISUALIZATION, DATASETS, DRUG DISCOVERY, INTEGRATION, INTEGRATOR, MARKETING ANALYSIS, PHARMACEUTICAL RESEARCH, RNA, SEQUENCING, SOPS, STATISTICS, THERAPEUTIC