1

Model Predictive Control Jobs in Massachusetts (NOW HIRING)

Manager Advanced Analytics

Quincy, MA · On-site

$125.20 - $187.80/hr

Develop predictive models and algorithms for the creation of new insights which lead to scalable ... such as control tower, vendor profitability models, and out of stock detection among others.

New

Senior Data Scientist

Boston, MA · On-site

$78.70 - $138.20/hr

You will create large data sets, provide information-based decision logic and predictive modeling ... control processes for analytics, model development, and validation. * Monitor execution of ...

New

You will create large data sets, provide information-based decision logic and predictive modeling ... control processes for analytics, model development, and validation. * Monitor execution of ...

AI/ML Engineer

Boston, MA · On-site

$32 - $35/hr

... AI, and predictive analytics techniques. Deploy machine learning models into production ... Familiarity with version control systems like Git. Preferred Qualifications Experience with ...

AI/ML Engineer

Boston, MA · On-site

$124K - $149K/yr

... AI, and predictive analytics techniques. Deploy machine learning models into production ... Familiarity with version control systems like Git. Preferred Qualifications Experience with ...

Showing results 41-60

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 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 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 are popular job titles related to Model Predictive Control jobs in Massachusetts? For Model Predictive Control jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Model Predictive Control jobs in Massachusetts look for? The top searched job categories for Model Predictive Control jobs in Massachusetts are:
What cities in Massachusetts are hiring for Model Predictive Control jobs? Cities in Massachusetts with the most Model Predictive Control job openings:
Infographic showing various Model Predictive Control job openings in Massachusetts as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Post-Doctoral Scientist - Mechanistic Modeling & Simulation(SMDD)

Eli Lilly and Company

Boston, MA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago


Eli Lilly and Company rating

8.8

Company rating: 8.8 out of 10

Based on 63 frontline employees who took The Breakroom Quiz

11th of 86 rated pharmaceutical


Job description

At Lilly, the work is demanding because patients are waiting. We unite caring with discovery to help make life better for people around the world, knowing that every decision, every detail, and every day matters. Headquartered in Indianapolis, Indiana, our over 50,000 employees around the globe take on complex challenges to discover and deliver life-changing medicines, strengthen how health is understood and managed, and support the communities we serve. This is hard, urgent, selfless work-but it's work worth doing. If you're driven by purpose and ready to bring your best to work that truly matters for patients, we invite you to join us.
As part of Lilly Research Laboratories, Synthetic Molecule Design and Development (SMDD) is a dynamic group made up of synthetic chemists, pharmaceutical scientists, analytical chemists, and engineers. We strive to identify, develop and apply groundbreaking technologies to deliver maximum benefit to our patients. Our team is looking for a creative and energetic chemical engineer to collaborate with a growing multidisciplinary team. Aided with high-throughput experimentation and predictive thermodynamic tools, the engineer will use mechanistic modeling to develop a workflow to perform in-silico optimization of the biocatalytic assembly of oligonucleotides.
Responsibilities: Traditionally, oligonucleotide therapeutics such as siRNA, ASO, and sgRNA rely on linear solid-phase oligonucleotide synthesis (SPOS), which is subject to yield, purity, and purification burden challenges as the sequence length increases. In contrast, a promising alternative is a convergent route where shorter oligonucleotide fragments are prepared via SPOS and joined together enzymatically. This enzymatic ligation (EL) approach has demonstrated superior yield, purity, and control of critical impurities as well as reduced environmental impact compared to SPOS. As a result, this approach has generated significant interest from the pharmaceutical industry as exemplified by numerous patents, publications, and conference presentations. Whereas the elementary steps of the ligation reaction have been elucidated in the literature using wild type enzymes, much more is to be understood to enable the development of a scalable and versatile synthesis platform that gets genetic medicines to patients faster.
This postdoctoral position offers the opportunity to build a predictive mechanistic model of enzymatic ligation kinetics, generate process understanding that has previously been limited to qualitative trends, and accelerate EL process development. This project will also leverage high-throughput experimentation capabilities at the Lilly Seaport Innovation Center in Boston to parameterize thermodynamic and kinetic models of oligonucleotide assembly and ligation. The project provides the chance to collaborate not just within SMDD, but also discovery and development teams on multiple genetic medicine modalities across Boston and Indianapolis sites.
The prestigious Lilly Research Laboratories (LRL) post-doctoral program funds challenging and innovative projects in the pre-competitive space with the expectation of external publication and presentation. LRL post docs receive mentorship from leading scientists at Lilly as well as the opportunity to network with other scientists in the program. The post-doc project is expected to result in scientific publications as well as computational workflows for internal process development.
Top candidates for this position will be expected to:
  • Initiate collaborations across and beyond the SMDD organization to pioneer a multi-disciplinary approach to accelerating process optimization via computational tools
  • Understand and prioritize key challenges in process development via interactions with diverse talent across the larger organization.
  • Demonstrate independence, self-motivation, and high learning agility regarding grasping and exploiting new scientific concepts and methods.
  • Engage the external environment through presentation of findings at conferences and publishing in high-quality peer-reviewed journals.
  • Embrace diversity of thought, background and experience to deliver innovative solutions. Possess strong communication (oral, written), organizational, and leadership skills.
  • Apply the scientific method through ambiguity, welcome and rapidly adjust to change, and identify and drive superior methods to accomplish tasks.

Basic Requirements:
  • PhD in chemical engineering, chemistry, or a related field with experience in modeling and simulation
  • Qualified applicants must be authorized to work in the United States on a full-time basis. Lilly will not provide support for or sponsor work authorization or visas for this role, including but not limited to F-1 CPT, F-1 OPT, F-1 STEM OPT, J-1, H-1B, TN, O-1, E-3, H-1B1, or L-1.

Additional Skills/Preferences:
  • Experience with biocatalytic reaction systems and their kinetic modeling
  • Proficiency in programming and modeling and simulation tools (e.g. MATLAB, Python)
  • Familiarity with nucleic acid structure/thermodynamics prediction tools
  • Experience with lab automation and high-throughput experimentation
  • Interpersonal and collaborative skills
  • Ability to prioritize multiple activities and handle ambiguity
  • Ability to influence others to promote a positive work environment
  • Understanding and awareness of the external scientific and regulatory landscape
  • Demonstrated technical proficiency and ability to create ideas for future work plans
  • Established external publication record

Additional Information:
  • Travel: 0 to 10%
  • Position Location: Lilly Seaport Innovation Center, Boston, MA.
  • This position is not permanent. It is for a fixed term position up to a maximum of 3 years. Qualified applicants must be authorized to work in the United States on a full-time basis.

Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.
Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status.
Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia (AMECA), Black Employees at Lilly (BE@Lilly), Chinese Culture Network (CCN), EnAble, Evolve, Lilly Indian Network (LIN), Organization of Latinx at Lilly (OLA), Pride (LGBTQ+ Allies), Veterans Leadership Network (VLN) and Women's Initiative for Leading at Lilly (WILL).
Actual compensation will depend on a candidate's education, experience, skills, and geographic location. The anticipated wage for this position is
$58,000 - $123,200
Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly's compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.
#WeAreLilly

What Eli Lilly and Company employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Eli Lilly logo

About Eli Lilly

Sourced by ZipRecruiter

Eli Lilly, based in Indianapolis, IN, US, is one of the pioneers in the pharmaceutical industry with a rich history dating back to 1876. This global pharmaceutical company focuses on discovering, developing, manufacturing and selling pharmaceutical products in approximately 120 countries. The company's product categories include endocrinology, oncology, cardiovascular, neuroscience, and immunology. Having invested over $9 billion in research and development in the past decade, Eli Lilly is also committed to creating high-quality medicines that meet real needs. As a recipient of several awards and recognitions, Eli Lilly is known for its focus on life-saving research and drug development. Their mission is to make medicines that help people live longer, healthier, and more active lives.

Industry

Pharmaceutical product wholesalers

Company size

10,000+ Employees

Headquarters location

Indianapolis, IN, US

Year founded

1876