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Model Predictive Control Jobs in New Mexico (NOW HIRING)

$78K - $101K/yr

Conduct predictive analysis, scenario modeling, and trend forecasting to identify risks ... Design, create, and maintain Power BI dashboards and Excel files with appropriate quality control ...

... modeling tools, predictive margin trackers, and modern analytics workflows that help oncology, urology, rheumatology, and gastroenterology practices maintain control over their financial performance ...

Sr Data Analytics Engineer

Apodaca, NM

$113K - $136K/yr

Experience working with manufacturing KPIs, statistical process control, or Six Sigma concepts * Exposure to predictive modeling and machine learning pipelines * Understanding of Agile methodologies ...

Model Predictive Control information

What is Model Predictive Control?

Model Predictive Control (MPC) is an advanced method of process control that uses a mathematical model to predict and optimize the future behavior of a system. It works by solving an optimization problem at each control step to determine the best sequence of control actions, taking into account system constraints and objectives. MPC is widely used in industries such as chemical processing, energy, and automotive because it can handle multivariable control problems and anticipate future events. Its predictive nature allows for improved performance, stability, and efficiency compared to traditional control methods.

What is the difference between Model Predictive Control vs Control Systems Engineer?

AspectModel Predictive ControlControl Systems Engineer
CredentialsEngineering degree, control theory, process modelingEngineering degree, control systems, automation
Work EnvironmentIndustrial automation, process control, manufacturingDesign, develop, and maintain control systems across industries
Industry UsageProcess industries, chemical, oil & gas, manufacturingAutomation, robotics, embedded systems, industrial sectors

Model Predictive Control (MPC) focuses on advanced control algorithms for optimizing processes, while Control Systems Engineers design and implement various control systems. MPC is a specialized skill within control engineering, often requiring knowledge of process modeling and optimization, whereas Control Systems Engineers have broader responsibilities across multiple control technologies. Both roles are essential in industrial automation but differ in scope and application.

What are the typical challenges faced by engineers working with Model Predictive Control (MPC) systems in an industrial setting?

Engineers working with Model Predictive Control systems often encounter challenges related to model accuracy, computational demands, and real-time implementation. Ensuring the process model accurately represents the plant dynamics is critical, as discrepancies can lead to suboptimal control performance. Additionally, MPC algorithms can be computationally intensive, particularly for large-scale or fast processes, requiring careful tuning and optimization to maintain real-time operation. Collaboration with process engineers and IT specialists is common, as integrating MPC with existing control systems and plant infrastructure is a key part of the role.

What are the key skills and qualifications needed to thrive as a Model Predictive Control (MPC) Engineer, and why are they important?

To thrive as a Model Predictive Control Engineer, you need strong foundations in control theory, applied mathematics, and process engineering, usually supported by a degree in engineering or a related field. Proficiency with simulation tools such as MATLAB/Simulink, programming languages like Python or C++, and familiarity with industrial automation systems are typically required. Analytical thinking, problem-solving abilities, and effective communication skills help distinguish top performers in this role. These skills are essential for designing, implementing, and optimizing advanced control algorithms that improve system performance and reliability in complex industrial environments.
What job categories do people searching Model Predictive Control jobs in New Mexico look for? The top searched job categories for Model Predictive Control jobs in New Mexico are:
Infographic showing various Model Predictive Control job openings in New Mexico as of July 2026, with employment types broken down into 1% As Needed, 74% Full Time, 19% Part Time, 1% Temporary, 4% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

$78K - $101K/yr

Full-time

Posted 19 days ago


Cardinal Health rating

7.7

Company rating: 7.7 out of 10

Based on 335 frontline employees who took The Breakroom Quiz

159th of 887 rated healthcare providers


Job description

Organization Summary

Averon is a joint venture between CVS Health and Cardinal Health with a vision of transforming the landscape of biosimilars and simplifying the channel for specialty products. Our mission is: together, we will lower the cost of specialty products for our customers.

Reports to: Chief of Staff

Location: Fully remote

Position Summary

The Sr. Business Analyst plays a key role in supporting contracts, data validation, analytics, and performance insights across the organization. This role combines technical data analysis, auditing, reconciliation, and predictive analysis with the ability to translate complex datasets into actionable business recommendations. The position operates in a dynamic, collaborative, remote environment and requires advanced critical thinking, comfort working with complex datasets and data platforms, and a high degree of accuracy.

Responsibilities

Data Management

  • Perform data entry and system maintenance associated with contracts within Averon's internal custom applications and Microsoft Azure Data Platform.
  • Ensure daily data feeds are loaded and validated within Azure and Power BI.
  • Maintain Microsoft Azure Data Platform and Power BI dashboards.
  • Handle ad hoc data requests, advanced data analysis, and predictive modeling needs not covered by dashboards and other tools.
  • Document data sources, validation logic, and identification methodology.

Data Analysis and Trends

  • Partner with Averon subject matter experts and stakeholders to identify root causes, develop solutions, and drive desired results.
  • Perform routine reconciliations of data feeds from manufacturers, parent organizations, and wholesalers, including analysis of data variances for contract alignment.
  • Analyze and troubleshoot reconciliation issues and recommend steps for resolution.
  • Align data from multiple sources into standardized, usable formats.
  • Conduct predictive analysis, scenario modeling, and trend forecasting to identify risks, opportunities, marketplace shifts, and potential future business impacts using historical and current data.
  • Provide insights into marketplace trends, including new biosimilar launches and product availability.

Data Visualizations

  • Design, create, and maintain Power BI dashboards and Excel files with appropriate quality control measures.
  • Support the effective use of dashboards and visualizations to clearly convey information to the target audience.
  • Synthesize complex information into clear, digestible insights.
  • Communicate findings and insights through presentations and reports, primarily in PowerPoint.

Qualifications

  • Advanced SQL skills, required
  • Proficiency with Azure SQL Databases and Azure Data Lake, highly preferred
  • Targeting individuals with a degree in analytics, business, data science, finance or a related field; or, 10+ years of relevant work experience aligned with the responsibilities of the role.
  • Advanced Microsoft Office skills, including Excel, Power BI, Microsoft Teams, SharePoint, and related tools, required
  • Ability to work with large, complex datasets and apply data modeling and statistical analysis techniques within business intelligence and data platform environments.
  • Proven ability to gather insights from multiple platforms and apply forecasting, predictive analysis, and data-driven recommendations to support business decisions.
  • Demonstrated ability to identify patterns, anomalies, and emerging trends, and translate findings into clear insights for leadership and cross-functional stakeholders.
  • Proficiency with Salesforce, a plus
  • Demonstrated ability to manage multiple workstreams.
  • Collaborative team player with clear written and verbal communication skills.
  • Strong attention to detail and a process-driven mindset.

Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply.

Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law.

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About Cardinal Health

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Cardinal Health Innovative Delivery Solutions With over 45 years of experience in helping hundreds of hospital and outpatient pharmacies, we provide access to best practice strategies and tactics to control costs, improve workflow and enhance safety. Cardinal Health Innovative Delivery Solutions is one of the largest employers of acute-care pharmacist in the United States. Cardinal Health is the employer of choice for pharmacists because we offer a variety of career opportunities in pharmacy leadership, clinical specialties, remote order entry, business management, medication therapy management and more.

Industry

Medical equipment and supplies manufacturing

Company size

10,000+ Employees

Headquarters location

Dublin, OH, US

Year founded

1971

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