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Model Predictive Control Jobs in Massachusetts (NOW HIRING)

$144K - $227K/yr

Foundation Models: Build, fine-tune, troubleshoot, and benchmark foundation models for predictive ... Multi-omics Analysis:-Perform quality control (QC) and analysis of different molecular data types ...

Lead end-to-end predictive modeling initiatives supporting areas such as pricing and rating ... Experience with version control systems, preferably Git. * Experience with cloud-based data science ...

... control, sensitivity analysis, and uncertainty quantification * Define causal inference approaches ... Define standards for predictive and machine learning model design, validation, explainability ...

... control, sensitivity analysis, and uncertainty quantification * Define causal inference approaches ... Define standards for predictive and machine learning model design, validation, explainability ...

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 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 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 does a model predictive control do?

A Model Predictive Control (MPC) engineer designs control systems that use a mathematical model to predict future system behavior and optimize control actions accordingly. MPC is commonly used in industries like process control and robotics, requiring skills in control theory, programming, and system modeling. The role involves developing algorithms, tuning controllers, and ensuring system stability and efficiency.

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 1% As Needed, 72% Full Time, 21% Part Time, 1% Temporary, 3% Contract, and 2% Nights. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.

Senior Data Scientist, Predictive Immune Biomarker Foundation Models

On-site

Merck & Co.
Pharmaceutical Product Wholesalers • 10K+ employees

$144K - $227K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 20 days ago


Merck rating

8.0

Company rating: 8.0 out of 10

Based on 51 frontline employees who took The Breakroom Quiz


Job description

Job DescriptionSenior Scientist, Predictive Immune Biomarkers (R3) - The Precision Genetics group within the Data, AI and Genome Sciences Department is seeking a-Senior Scientist-to join our-Computational Precision Immunology-team in Cambridge, MA. We are looking for a skilled data scientist with extensive experience to develop predictive biomarkers in immunology based on multi-modal and multi-scale data analyses. - Key Responsibilities: Foundation Models: Build, fine-tune, troubleshoot, and benchmark foundation models for predictive immune biomarker discovery. Multi-omics Analysis:-Perform quality control (QC) and analysis of different molecular data types including bulk and single-cell RNA-seq (e.g., Limma, Seurat, scanpy), spatial transcriptomics (e.g., CosMx, 10x Visium), and proteomics (e.g., OLINK, mass spectrometry-based approaches). Multi-omics Integration:-Integrate multi-omics datasets, including gene/protein expression, spatial transcriptomics, and genotype data. Documentation:-Prepare detailed documentation of analysis methods and results in a timely manner. Required Qualifications: Ph.D. in Computer Science, Engineering, Data Science, AI/ML, Bioinformatics, Computational Biology, Genetics & Genomics, Mathematics, Statistics, Physics, Pharmaceutical Science, or related STEM field. A proven track record in multi-omics analysis. Hands-on experience with building, fine-tuning, benchmarking foundation models, preferably for patient stratification related downstream tasks. Fundamental understanding of AI/ML methods, multi-omics data analysis, and omics integration (e.g., RNA-Seq, single-cell RNA-Seq, genotype, spatial transcriptomics, OLINK). Proficiency in R, Python, and Bash, with the ability to establish best practices for reproducible data analyses. Experience with high-performance computing (HPC) systems and AWS Cloud Services (e.g., IAM, S3 buckets). A collaborative and self-motivated individual with a strong work ethic, capable of managing multiple objectives in a dynamic environment and adapting to changing priorities. Excellent written and verbal communication skills. - Preferred Qualifications: Good understanding of autoimmune disease biology. Experience in processing and analyzing real-world data. Familiarity with spatial transcriptomics analysis. Knowledge of statistical and population genetics principles. - #EligibleforERP Required Skills: Autoimmune Diseases, Biomarkers, Cellular Immunology, Computational Biology, Data Science, Genetic Analysis, High Performance Computing (HPC), Immunology Research, Machine Learning (ML), Omics, RNA-Seq, Stratification, TranscriptomicsPreferred Skills: Current Employees apply HERE Current Contingent Workers apply HERE US and Puerto Rico Residents Only:Our company is committed to inclusion, ensuring that candidates can engage in a hiring process that exhibits their true capabilities. Please click here if you need an accommodation during the application or hiring process. As an Equal Employment Opportunity Employer, we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable legally protected characteristics.--As a federal contractor, we comply with all affirmative action requirements for protected veterans and individuals with disabilities.- For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit:EEOC Know Your Rights EEOC GINA Supplement• We are proud to be a company that embraces the value of bringing together, talented, and committed people with diverse experiences, perspectives, skills and backgrounds. The fastest way to breakthrough innovation is when people with diverse ideas, broad experiences, backgrounds, and skills come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another's thinking and approach problems collectively.Learn more about your rights, including under California, Colorado and other US State Acts The salary range for this role is$144,800.00 - $227,900.00This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee's position within the salary range will be based on several factors including, but not limited to relevant education, qualifications, certifications, experience, skills, geographic location, government requirements, and business or organizational needs.The successful candidate will be eligible for annual bonus and long-term incentive, if applicable.We offer a comprehensive package of benefits.- Available benefits include medical, dental, vision healthcare and other insurance benefits (for employee and family), retirement benefits, including 401(k), paid holidays, vacation, and compassionate and sick days. More information about benefits is available at https://jobs.merck.com/us/en/compensation-and-benefits .You can apply for this role through https://jobs.merck.com/us/en (or via the Workday Jobs Hub if you are a current employee). The application deadline for this position is stated on this posting. San Francisco Residents Only: -We will consider qualified applicants with arrest and conviction records for employment in compliance with the San Francisco Fair Chance Ordinance Los Angeles Residents Only: -We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance Search Firm Representatives Please Read Carefully-Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. -No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.-Employee Status: RegularRelocation:Domestic/InternationalVISA Sponsorship:Yes Travel Requirements: 10%Flexible Work Arrangements:Not ApplicableShift:Not IndicatedValid Driving License:NoHazardous Material(s):n/aJob Posting End Date:09/18/2026 *A job posting is effective until 11:59:59PM on the day BEFORE -the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Requisition ID:R412803 Salary: . Date posted: 09/05/2026

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