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Algorithm Research Jobs in Peabody, MA (NOW HIRING)

Samsung Semiconductor

Research Scientist

Cambridge, MA

$112K - $168K/yr

Develop novel quantum algorithms and methodologies, rigorous theoretical and computational analysis, validation and interpretation of research results * Disseminate research findings through peer ...

Samsung Semiconductor

Research Scientist

Cambridge, MA · On-site

$112K - $168K/yr

Develop novel quantum algorithms and methodologies, rigorous theoretical and computational analysis, validation and interpretation of research results * Disseminate research findings through peer ...

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All JobsAlgorithm Research JobsAlgorithm Research Jobs in Peabody, MA

Algorithm Research information

What is algorithm research?

Algorithm research involves studying, designing, analyzing, and optimizing algorithms to solve complex problems efficiently. Researchers in this field explore new computational methods, improve existing algorithms, and evaluate their performance in various contexts. This work is fundamental in areas like computer science, artificial intelligence, data science, and cryptography, driving technological advances and innovation.

What are the key skills and qualifications needed to thrive as an algorithm researcher?

To excel as an Algorithm Researcher, you need a strong background in mathematics, computer science, and algorithm design, often supported by an advanced degree such as a master's or PhD. Proficiency with programming languages (like Python, C++, or Java), machine learning frameworks, and version control systems is essential. Analytical thinking, creativity, and effective communication are crucial soft skills that set top performers apart in this field. These skills are vital for developing innovative, efficient solutions and collaborating within interdisciplinary teams to solve complex computational problems.

What are the typical challenges faced by professionals in algorithm research roles and how can they best address them?

Algorithm Research professionals often encounter challenges such as bridging the gap between theoretical solutions and practical implementation, staying updated with rapid advancements in the field, and collaborating with cross-functional teams to integrate research outcomes into real-world products. To address these challenges, it is helpful to maintain strong communication with engineering teams, participate in continual learning through academic papers and conferences, and adopt an iterative approach to testing and refining algorithms. Building a habit of documenting experiments and results also streamlines collaboration and future development.

What is the difference between Algorithm Research vs Data Scientist?

AspectAlgorithm ResearchData Scientist
Required CredentialsAdvanced degrees in CS, Mathematics, or related fieldsDegree in CS, Statistics, or related fields; certifications like SAS or Python
Work EnvironmentResearch labs, R&D departments, academiaBusiness environments, analytics teams, tech companies
Industry UsageDeveloping new algorithms, theoretical researchAnalyzing data, building predictive models, insights generation
Common Search/ComparisonYesNo

Algorithm Research focuses on developing and testing new algorithms, often in research or academic settings, requiring advanced technical credentials. Data Scientists analyze data to generate insights and build models, working primarily in business environments. While both roles involve data and programming, their core objectives and work settings differ significantly.

What cities near Peabody, MA are hiring for Algorithm Research jobs?

Cities near Peabody, MA with the most Algorithm Research job openings:

Algorithm Research jobs near you
Infographic showing various Algorithm Research job openings in Peabody, MA as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 82% Full Time, 14% Part Time, and 2% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution.

Sr. Applied Research Engineer - Biomechanics

Burlington, MA • On-site

Glaukos Corporation
Medical Equipment and Supplies Manufacturing • 51 - 200 employees
Learn more about Glaukos Corporationexternal

Other

Posted 11 days ago

Job description

Sr. Applied Research Engineer – Biomechanics – Burlington

What You’ll Do:

We are seeking a highly motivated and experienced scientist or engineer to join our Applied Research team and contribute to the advancement of next-generation technologies within our Corneal Health (CH) product portfolio. This role will play a central part in driving early-stage innovation, technology development, and translational research efforts aimed at expanding the capabilities and clinical impact of our ophthalmic medical device platforms.

The successful candidate will work at the intersection of computational modeling, experimental science, engineering, and clinical translation to develop new technologies and methodologies. A key focus of this role will be developing and validating computational and analytical models of corneal and tissue biomechanics, complemented by hands‑on imaging and elastography work that enables improved understanding and quantification of corneal structure and biomechanics.

The ideal candidate will bring deep expertise in tissue and corneal biomechanics and computational modeling, complemented by hands‑on experience with biomechanical imaging, elastography, signal processing, and algorithm design, with a strong interest in translating research concepts into robust, validated technologies.

How You’ll Contribute:
  • Contribute to the design and development of current and next-generation ophthalmic medical devices, from early research through translational development.
  • Develop, apply, and validate analytical and computational models of corneal and ocular tissue biomechanics, including finite element approaches, to characterize tissue behavior and therapeutic effects.
  • Use experimental and imaging-derived data to estimate material properties, perform inverse and parameter‑estimation analyses, and validate model predictions.
  • Support and perform biomechanical imaging and elastography measurements, including refinement of experimental setups used to quantify corneal biomechanical properties.
  • Develop, optimize, and maintain robust modeling, processing, and post‑processing algorithms and software pipelines for biomedical imaging and biomechanical data.
  • Collaborate with hardware, software, and systems engineering teams to integrate models, algorithms, and experimental methods into prototype and product‑level medical devices.
  • Oversee data collection, preprocessing, model and algorithm development, validation, and performance characterization through rigorous experimental testing.
  • Evaluate emerging modeling methods and measurement technologies to advance biomechanical characterization for ophthalmic applications.
  • Communicate technical results through design reviews, internal reports, and technical documentation; contribute to publications, patents, or regulatory submissions as appropriate.
How You’ll Get There:
  • PhD in Mechanical Engineering, Biomedical Engineering, Physics, or a related field, or an MS/Bachelor’s degree with equivalent industry experience.
  • 5–8+ years of relevant experience (3–5+ years with an MS degree or 0–4+ years with a PhD) in soft‑tissue biomechanics, computational modeling, experimental imaging, or quantitative analysis.
  • Demonstrated experience developing and validating biomechanical models of soft tissues, including constitutive modeling, finite element analysis, and parameter estimation from experimental data.
  • Working knowledge of biomechanical imaging and elastography, including measurement setups, data acquisition, and measurement system validation.
  • Hands‑on experience with finite element modeling tools; COMSOL Multiphysics experience is preferred.
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