Statistician
SHL Medical Assembly&Servc LLC —Deerfield Beach, FL
- Microsoft Excel
- Pass drug screening
- 3 years
Quick Apply
Statistician
SHL Medical —Deerfield Beach, FL
- Full-time
- Microsoft Excel
- Pass drug screening
- 3 years

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Statistician
SHL Medical Assembly&Servc LLC —Deerfield Beach, FL
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The Statistician will provide excellence and expertise in statistical support to the site in order to drive the application of advanced and state-of-the-art…

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Statistician

SHL Medical Assembly&Servc LLC
Deerfield Beach, FL

Quick Apply

Job Details

Qualifications

Process flow diagrams
Stability testing
Microsoft Excel
Production data analysis
Defect resolution root cause analysis
Statistics
Predictive modeling analysis
Hypothesis testing
Stability studies in drug product development
Quality control product testing
Bachelor's degree in statistics
Procedural guides
Design of experiments
Regulatory compliance
Statistical Process Control
Mathematics
Reliability analysis
Technical support
SAS language
3 years
Research project design
Minitab
Quality control data reporting
Key Performance Indicators
Policy & process development
Bachelor's degree in engineering
Production validation processes
Quality risk management
Data management
Pareto charts

Full Job Description

SHL Medical is a world-leading provider in the design, development, and manufacturing of advanced self-injection devices. With a global team of 6,000 employees, we partner with leading pharmaceutical and biotech companies to deliver innovative autoinjectors, pen injectors, and other drug delivery systems that ensure effective treatment for patients. Headquartered in Switzerland since 2018, with key operations in Sweden, Taiwan, and the US, we are united by a commitment to innovation, impact, and growth. Together, we empower our people to develop solutions that make a meaningful difference in the lives of millions of patients while fostering a supportive, inclusive, and dynamic workplace for our colleagues.

Job Overview

The Statistician will provide excellence and expertise in statistical support to the site in order to drive the application of advanced and state-of-the-art statistical principles, tools, and methodologies with the goal of improving process understanding, product quality, and compliance, as well as driving efficiency, process capability, and profitability.

Main Responsibilities

With supervision and guidance, provide technical support to Quality, Program Management, Product Development, Process Development (Manufacturing Sciences, Analytical Sciences), Manufacturing, Manufacturing Engineering, Supply Chain, and Regulatory & Compliance with hands-on analysis of process and product data.
Apply appropriate routine and advanced statistical methods in order to improve and to maintain optimal process control and product compliance, with limited guidance from the Senior Statistician.
Explain and justify application of statistical methods to internal and external regulatory bodies and health authorities.
Actively support PD activities and participate in the Global Statistics network.
Implement LEAN strategies for data collection, data management, reporting, etc.
Develop and lead statistics trainings to applicable departments.
Develop and implement statistics-focused quality operating procedures, work instructions, forms, and templates.

Process development and design transfer

Support the design of characterization, qualification, validation, test method development (TMD), test method validation (TMV), equivalence/comparability, stability studies, and other studies.
Analyze and interpret data from characterization, qualification, validation, test method development (TMD), test method validation (TMV), equivalence/comparability, stability studies, and other studies.
Support design and tech transfer activities by providing study designs and acceptance criteria that demonstrate comparability of transferred processes and product quality.
Support the construction and interpretation of failure mode and effects analysis (FMEA) and fault tree analysis (FTA).
Design experimental studies to evaluate criticality of inputs and to predict outputs with confidence. Select optimal parameters by evaluating DOE results through ANOVA, PLS regression, and other relevant models.
Support products throughout the life cycle, from characterization à qualification à validation à commercial.

Product and process monitoring and controls

Apply modeling and simulation techniques to define and support the process control strategy.
Define, describe, calculate, and apply process capability indices and studies, including identifying characteristics, specifications, and tolerances.
Distinguish between natural process limits and specification limits.
Calculate percent defective and future risk.
Assess processes through the implementation of monitoring and statistical process control (monitoring plans and reports, establishing commercial control limits).
Support the compilation of Annual Product Reviews (APRs).
Define sampling plans that are in line with the site’s sampling strategy, including defining, describing, and applying the concepts of producer and consumer risk, operating characteristic (OC) curves, acceptable quality limits (AQL), and rejectable quality limits (RQL).
Define sampling plans that are in line with the site’s qualification sampling strategy in order to qualify and challenge process controls by establishing failure rates.

Data-driven decision making

Select, construct, apply, and interpret tools such as flowcharts, pareto charts, cause and effect diagrams, control charts, check sheets, scatter diagrams, and histograms and support implementation.
Support the analysis of complex data sets to facilitate root cause investigations by offering data-driven decisions.
Calculate and interpret standard error, tolerance intervals, confidence intervals, and equivalence intervals.
Apply and interpret the concepts of significance level, power, type I, and type II errors.
Define and distinguish between statistical and practical significance.
Support Key Performance Indicators (KPIs) tracking/monitoring.

Skills and Qualification

Bachelor’s Degree required, preferably in Statistics, Mathematics, Engineering, or another relevant branch of study
3+ years of relevant experience
Proven experience in data science and applied statistics, e.g., in DOE and multivariate data analysis including regression and ANOVA.
Proficiency with statistical software, e.g., JMP, Minitab, SPSS, SAS, R.
Proficiency in Microsoft Office (Word, Excel, PowerPoint).
Effective communication (written and verbal) and collaboration within cross-functional teams.

We Offer

Competitive compensation package
Modern working environment with state-of-the-art facilities and technologies
Challenging assignments in a fast growing and innovative industry
Position in a dynamic, international team of highly skilled professionals
Various opportunities for personal and professional development within a global organization

Please note that SHL is a drug free employer. This offer of employment is contingent upon your successful completion of various preemployment screenings, including, but not limited to, a drug test, employment verification, reference checks, and a criminal background check.

For more information on SHL Medical, please visit: shl-medical.com

Quick Apply

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Job Overview

Main Responsibilities

Process development and design transfer

Product and process monitoring and controls

Data-driven decision making

Skills and Qualification

We Offer

Please note that SHL is a drug free employer. This offer of employment is contingent upon your successful completion of various preemployment screenings, including, but not limited to, a drug test, employment verification, reference checks, and a criminal background check.

For more information on SHL Medical, please visit: shl-medical.com

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