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Modelling And Simulation Jobs in Michigan (NOW HIRING)

MMS

Study Design Statistician (Remote)

Canton, MI · On-site

Maintain current knowledge of relevant research techniques such as modelling, simulation and experimental design and participate in continuous professional development activity. * Support pre-sales ...

Vintage Cash Cow

Conduct capacity modelling, throughput simulations, and ROI analysis for warehouse improvement and automation projects. * Support warehouse teams with training and operational change management when ...

Resource Point LLC

Memory Design Engineer

Troy, MI · On-site

Good understanding of SRAM architecture, Critical Path Modelling, Full Cut Analysis and Monte Carlo Simulations. * Exposure to full embedded memory design flow: Architecture, circuit design, physical ...

New Eagle LLC

Senior Software Engineer I

Ann Arbor, MI · On-site

$123.30K - $161.50K/yr

Simulations and Modelling (e.g., MATLAB, Simulink, Model-Based Design). Real-Time and Embedded Systems * Strong knowledge of RTOS (e.g., FreeRTOS, VxWorks, QNX). * Embedded Firmware Development:

General Motors

Chassis Controls MIL Developer

Milford, MI

$39.75 - $50.75/hr

Vehicle dynamics understanding and ability to evaluate in simulation or in-vehicle * Demonstrated ... Understanding of vehicle modelling tools such as CarSim or CarMaker and ability to integrate with ...

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What job makes $10,000 a month without a degree?

In modeling and simulation, high-paying roles such as freelance consultants or specialized software developers can earn $10,000 or more monthly without a formal degree, especially with strong skills in programming, data analysis, and industry experience. These positions often require expertise in simulation tools, programming languages, and a robust portfolio or reputation in the field.

What is the difference between Modelling And Simulation vs Data Analyst?

AspectModelling And SimulationData Analyst
Required CredentialsBachelor's or higher in engineering, computer science, or related fieldsBachelor's or higher in statistics, mathematics, or related fields
Work EnvironmentResearch labs, engineering firms, simulation software environmentsBusiness, finance, healthcare, and corporate settings
Industry UsageEngineering, aerospace, defense, manufacturingFinance, marketing, healthcare, retail
Common Search/ComparisonModelling And Simulation vs Data Analyst

Modelling and Simulation professionals focus on creating models and running simulations to predict system behaviors, often in technical or engineering contexts. Data Analysts interpret data to inform business decisions, primarily working with data sets and statistical tools. While both roles involve data handling, Modelling and Simulation emphasizes technical modeling, whereas Data Analysts focus on data interpretation for strategic insights.

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Study Design Statistician (Remote)

Study Design Statistician (Remote)

MMS Holdings Inc.

Canton, MI • On-site, Remote

Full-time

Posted 13 days ago

Job description

Are you looking to join a company where your contributions truly matter, and where you'll be part of a supportive, innovative team? MMS is a award-winning, data-focused clinical research organization (CRO). We pride ourselves on being a Great Place to Work certified organization, recognized for our exceptional culture and industry best employee retention rate. We support the pharmaceutical, biotech, and medical device industries with our proven, scientific approach to complex trial data and regulatory submission challenges. With a global footprint across four continents, MMS not only maintains an industry-leading customer satisfaction rating but also fosters a collaborative and inclusive work environment where employees can thrive. Join us at MMS and be part of a team that is shaping the future of clinical research.
Discover more about our exciting opportunities and why MMS is a great place to advance your career. Visit www.mmsholdings.com or follow MMS on LinkedIn.
As part of our Strategic Statistical Services Arm, this is a full-time role with emphasis on being an internal and external SME for clinical trial design, together with providing consultation to advise clients on a range of broader statistical issues, and will have an internal job title of Strategic Statistician.
Job Description:
Our experienced statisticians and programmers develop intellectual property and assets to support the design and analysis of clinical trials, precision medicine and real-world data analytics. We address the emerging analytics needs of the Industry with our biostatistics services, bespoke algorithms and unique, state of the art, proprietary, cloud-based trial simulation software KerusCloud. Working alongside innovative statisticians you will be responsible for leading the full life-cycle of KerusCloud support and statistical services, from:
  • Assisting customers with their study design with a particular focus on simulation with KerusCloud to ensure they are aligned with the study objectives.
  • Preparation of study protocols and development of Statistical Analysis Plans and Statistical Analysis Reports.
  • Summarize, analyze and visualize study data using a variety of statistical methods, ultimately delivering results to an agreed timeline with optimal quality.
  • Provide statistical consultancy support to sponsors across the full span of clinical development, including oversight of third-party statistical and programming deliverables.
  • Maintain current knowledge of relevant research techniques such as modelling, simulation and experimental design and participate in continuous professional development activity.
  • Support pre-sales discussions to understand and identify client needs, then contribute to technical solutions and resource/ cost estimates.
  • Collaborate with the Product Development team defining key features and statistical aspects of KerusCloud.
  • Provide input and support to Marketing of KerusCloud, including demonstrations to clients, white papers, etc.

Requirements:
  • Bachelors degree in mathematics, statistics, physics, pharmacology or with a strong statistical component, Masters or PhD preferred.
  • 5-7 years of experience in the application of medical statistics (pharma, CRO, academic).
  • Willingness to engage with clients to understand and research problems and provide creative, business-orientated solutions.
  • Experience in delivering customer projects to high quality standards.
  • Experience in SAS and/ or R statistical software packages.
  • Experience in study design and protocol and report-writing preferred.
  • Experience of modelling and simulation techniques to explore complex study designs preferred.
  • Experience of Bayesian approaches to design and analysis of clinical data preferred.
  • Experience of early-phase drug development processes including innovative/ adaptive study design preferred.

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