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Control Research Scientist Jobs (NOW HIRING)

AleloPharma INC.

Research Scientist

Detroit, MI · On-site

Research Scientist, preferably with a PhD in molecular biology or lesser degree with comparable ... The quality control will be conducted by RT-qPCR experiments using ultra-pure chimeric transcript ...

Caltech

Research Scientist

Pasadena, CA · On-site

... control studies of new and existing platforms. Essential Job Duties * Work directly with Senior ... or biological sciences. * Relevant research experience of 5 years. * Bring experience with ...

Rice University

Research Scientist

Houston, TX · On-site

$63K - $80K/yr

... Research Scientist to support translational clinical research involving optical microscopy for ... control standards in accordance with approved clinical research protocols Ability to plan and ...

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Control Research Scientist information

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$50.5K

$130.1K

$174K

How much do control research scientist jobs pay per year?

As of Jul 24, 2026, the average yearly pay for control research scientist in the United States is $130,117.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $173,000.00 per year, depending on experience, location, and employer.

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 are the key skills and qualifications needed to thrive as a Control Research Scientist, and why are they important?

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 are control research scientists?

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.
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What cities are hiring for Control Research Scientist jobs? Cities with the most Control Research Scientist job openings:
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Control Research Scientist jobs near you
Infographic showing various Control Research Scientist job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 74% Full Time, 20% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $130,117 per year, or $62.6 per hour.

Research Scientist

AleloPharma INC.

Detroit, MI • On-site

Full-time

Posted 26 days ago

Job description

Research Scientist, preferably with a PhD in molecular biology or lesser degree with comparable experience. Must meet legal requirement to work in the USA.

The successful candidate will be responsible for assisting with small scale development and production of quantitative polymerase chain reaction-based (qPCR) products and quality testing prior to clinical validation. Manufacturing will include preparation of synthetic mRNA fusion transcripts, primers/probes sets, and master mixes containing the reacting enzymes (e.g. reverse transcriptase, Taq polymerase), as well as buffer salts for RT-qPCR ultra-precision assays. The quality control will be conducted by RT-qPCR experiments using ultra-pure chimeric transcript RNAs. The nucleic acids will be synthesized in vitro and prepared at known copy numbers determined through nano-spectrophotometric assays.

At AleloPharma, our goal is to transform molecular diagnostics by offering the highest quality precision assays for nucleic acids. Our products are used in detection of pathogens and oncogenes at the lowest detectable levels through our unique patented process for ultra-sensitive and ultra-specific qPCR.