1

Control Research Scientist Jobs in Rochester, NY

SQL Developer

Rochester, NY · On-site

$70K - $140K/yr

Python, Source Control, Atlassian product suite (Jira, confluence, bitbucket) * Develop complex SQL ... research. * Utilizes advance knowledge in the field of computer science or software engineering ...

SQL Developer

Rochester, NY · On-site

$70K - $140K/yr

Python, Source Control, Atlassian product suite (Jira, confluence, bitbucket) * Develop complex SQL ... research. * Utilizes advance knowledge in the field of computer science or software engineering ...

SQL Developer

Rochester, NY · On-site

$70K - $140K/yr

Python, Source Control, Atlassian product suite (Jira, confluence, bitbucket) * Develop complex SQL ... research. * Utilizes advance knowledge in the field of computer science or software engineering ...

Today, we accelerate and transform life sciences, mobile consumer electronics, optical ... Integrate vision inspection solutions with PC-based control and automation platforms; interface ...

Be Seen First

A College Degree is preferred (Computer Science, Electrical or Computer Engineering) Pluses (not ... Willingness to research ultra-high-performance processors for speed and optimization. * Firmware ...

New

Showing results 21-40

Control Research Scientist information

See Rochester, NY salary details

$49.8K

$128.4K

$171.7K

How much do control research scientist jobs pay per year?

As of Sep 1, 2026, the average yearly pay for control research scientist in Rochester, NY is $128,382.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,100.00 and $170,700.00 per year, depending on experience, location, and employer.

What is a control research scientist?

Control research scientists are experts who study, design, and develop control systems to manage the behavior of dynamic systems in fields like engineering, robotics, and automation. Their work involves creating mathematical models, algorithms, and technologies that help systems operate efficiently and respond to changing conditions. They often collaborate with engineers and other scientists to solve complex problems and improve performance in applications such as manufacturing, aerospace, and automotive systems.

What are the key skills and qualifications needed to thrive as a control research scientist?

To thrive as a Control Research Scientist, you need a solid background in control theory, applied mathematics, and engineering, often supported by a Ph.D. in electrical, mechanical, or aerospace engineering. Familiarity with simulation software such as MATLAB/Simulink, programming languages like Python or C++, and experience with modeling and data analysis tools are typically required. Strong analytical thinking, problem-solving abilities, and effective communication are important soft skills in this role. These competencies are essential for designing advanced control systems, conducting impactful research, and effectively sharing findings with both technical and non-technical stakeholders.

What are some common collaboration dynamics for a control research scientist within multidisciplinary teams?

Control Research Scientists often work closely with professionals from various fields, such as electrical engineering, mechanical engineering, and data science. Collaboration typically involves jointly developing algorithms, integrating control systems into prototypes, and troubleshooting experimental results. Strong communication skills are essential, as you’ll regularly present findings, discuss technical challenges, and coordinate with both research and implementation teams. This multidisciplinary environment fosters innovation but also requires adaptability to different working styles and technical languages.

What is the difference between Control Research Scientist vs Control Engineer?

AspectControl Research ScientistControl Engineer
Required CredentialsMaster's or PhD in Engineering, Control Systems, or related fieldsBachelor's or Master's in Electrical, Mechanical, or Control Engineering
Work EnvironmentResearch labs, academia, R&D departmentsIndustrial settings, manufacturing, automation projects
Employer & Industry UsageUniversities, research institutions, tech companiesManufacturers, aerospace, automotive, process industries

Control Research Scientists focus on developing new control algorithms and conducting advanced research, often in academic or R&D settings. Control Engineers apply existing control theories to design, implement, and optimize control systems in industrial environments. While both roles require strong knowledge of control systems, the Control Research Scientist emphasizes innovation and theoretical development, whereas the Control Engineer emphasizes practical application and system deployment.

What cities near Rochester, NY are hiring for Control Research Scientist jobs?

Cities near Rochester, NY with the most Control Research Scientist job openings:

Infographic showing various Control Research Scientist job openings in Rochester, NY as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 19% Part Time, 4% Contract, and 1% Nights. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $128,382 per year, or $61.7 per hour.

Contractor

Re-posted 6 days ago


Job description

This role supports the development, integration, and validation of advanced MRI methods across two research workstreams:

  • Oscillating Gradient Diffusion (OGSE/OGD) in collaboration with Vanderbilt University, and
  • FLORETbased UTE imaging (nonCartesian) in collaboration with Cincinnati Children's Hospital.

The engineer will coordinate program execution while contributing technically to pulse sequence implementation, image reconstruction and software refinement, and data processing within the Philips MRI research environment. The emphasis is on program oversight, technical coordination, and collaborative execution, rather than independent subjectmatter leadership in diffusion MRI or FLORET.

Note: This role focuses on technical engagement and delivery. It does not include clinical trial operations or regulatory ownership.

Core Responsibilities

A) Technical Development - Pulse Sequence (OGSE/OGD)

  • Refine and extend existing OGSE pulse sequence code in the Philips research environment.
  • Implement additional features, improve robustness, and ensure correct sequence functionality.
  • Support deployment and onscanner integration on Philips MRI systems.
  • Contribute to related data processing and image reconstruction workflows when required.

B) Image Reconstruction & Software Development (FLORET / NonCartesian)

  • Implement and validate nonCartesian MRI reconstruction pipelines (including those supporting FLORET UTE acquisitions).
  • Support software deployment and integration of reconstruction tools within Philips research systems.
  • Refine reconstruction workflows, add new features, and improve system interfaces and usability.
  • Perform data validation and quality checks; evaluate reconstruction stability and artifact behavior.

C) Experimental Collaboration & Validation

  • Coordinate experiment planning with Vanderbilt researchers, Cincinnati Children's teams, and clinical MRI staff.
  • Support execution of scanner experiments as needed.
  • Assist with validation of OGSE and FLORET acquisition outputs through systematic testing and comparative analysis.
  • Prepare technical validation summaries/reports and ensure outputs align with program deliverables and milestones.
  • Document results, assumptions, and change histories with strong discipline.

Qualifications

Required

  • Strong familiarity with vendorspecific MRI pulse sequence programming (preferably Philips research environments).
  • Solid foundations in MRI reconstruction, including nonCartesian methods, and software engineering.
  • Handson experience with C++ / Python / MATLAB for algorithm and tooling development.
  • Ability to collaborate effectively across industry and academic partners; clear written and verbal communication.
  • Proven ability to operate under hardware constraints and in structured, sprintbased execution models.

Preferred

  • Master's or PhD in MRI Physics, Biomedical Engineering, Medical Physics, Electrical Engineering, Computer Science, or related field.
  • Experience with Philips MRI research environments (e.g., research interfaces, integration workflows).
  • Exposure to OGSE/OGD diffusion methods and/or FLORET UTE imaging (deep expertise not required).
  • Experience with MRI data processing, QA/QC, and validation workflows.