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Research Scientist Optimization Jobs in Puerto Rico

Works effectively with cross-functional teams (Regulatory, Quality, Procurement, Research ... Optimization. * Familiarity with Microbiological laboratory practices. Knowledge of standard ...

Scientist III

Cayey, PR · On-site

$90 - $120/hr

... Procurement, Research and Development, Engineering, and Operations. * Maintain effective ... Optimization. * Knowledge of standard laboratory practices, statistics, and computer skills.

Data Scientist

San Juan, PR · On-site

$95K - $165K/yr

It is not a research role either. Elegance is nice, but a route that runs two hours shorter is ... Forecasting, route and schedule optimization, anomaly detection, siting and expected-performance ...

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Research Scientist Optimization information

What does a research scientist in optimization do?

A Research Scientist in Optimization specializes in developing and applying mathematical techniques to improve processes, systems, or algorithms. Their work often involves formulating optimization problems, designing solutions, and collaborating with engineers or data scientists to implement and test their models. These scientists may work in various industries, such as technology, logistics, finance, or manufacturing, to help organizations make better decisions, save resources, or improve performance. Their daily tasks include conducting experiments, analyzing large datasets, and publishing findings in scientific journals.

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

To excel as a Research Scientist in Optimization, you need a strong background in mathematics, computer science, and optimization theory, often supported by a PhD in a related field. Familiarity with programming languages like Python or MATLAB, optimization libraries (e.g., Gurobi, CPLEX), and experience with data analysis tools are typically required. Critical thinking, creativity, and strong communication skills help in formulating novel approaches and presenting complex findings clearly. These skills drive the development of efficient algorithms and solutions, advancing research impact and innovation in the field.

What types of projects and collaborations can a research scientist in optimization expect to be involved in?

As a Research Scientist specializing in Optimization, you can expect to work on projects that involve developing and improving algorithms to solve complex real-world problems in areas such as logistics, supply chain, or machine learning. Collaboration is common, often involving cross-functional teams with data scientists, software engineers, and domain experts to implement and test optimization solutions. You may also contribute to academic publications, attend conferences, and sometimes mentor junior researchers, all while staying current with the latest advancements in optimization techniques.

What is the difference between Research Scientist Optimization vs Data Scientist?

AspectResearch Scientist OptimizationData Scientist
Required CredentialsMaster's or PhD in Operations Research, Mathematics, or related fieldsBachelor's or Master's in Data Science, Statistics, or related fields
Work EnvironmentResearch labs, R&D departments, academiaBusiness analytics, tech companies, consulting firms
Industry UsageOptimization problems, algorithm development, mathematical modelingData analysis, predictive modeling, data visualization

Research Scientist Optimization focuses on developing mathematical models and algorithms to solve complex optimization problems, often in research or academic settings. Data Scientists analyze large datasets to extract insights and build predictive models for business decisions. While both roles require strong analytical skills, Research Scientist Optimization emphasizes mathematical and algorithmic development, whereas Data Scientists focus on data analysis and interpretation.

What are popular job titles related to Research Scientist Optimization jobs in Puerto Rico?

For Research Scientist Optimization jobs in Puerto Rico, the most frequently searched job titles are:

What job categories do people searching Research Scientist Optimization jobs in Puerto Rico look for?

The top searched job categories for Research Scientist Optimization jobs in Puerto Rico are:

What cities in Puerto Rico are hiring for Research Scientist Optimization jobs?

Cities in Puerto Rico with the most Research Scientist Optimization job openings:

ZL01-072126 Process Development Sr Scientist

Veg Group

Juncos, PR • On-site

$120 - $180/hr

Other

Posted 19 days ago


Job description

ZL01-072126 Process Development Sr Scientist

Validation & Engineering Group, Inc. (V&EG) a Pinnaql company is a leading services supplier who provides solutions for the Pharmaceutical, Biotechnology, Chemical, Food, and Medical Devices industries in the following areas: Laboratory, Compliance, Computer, Engineering, Project Management, Validation, and other services.

We are seeking a talented, dedicated individual committed to work under the highest ethical standards for the following position:

  • Process Development Sr Scientist
Education
  • Doctorate (PhD, PharmD, or MD) with relevant postdoctoral experience where applicable; or
  • Master's degree with 3+ years of relevant scientific experience; or
  • Bachelor's degree with 5+ years of relevant scientific experience.
  • A degree in Mechanical Engineering, Chemical Engineering, Biomedical Engineering, Bioprocess Engineering, Pharmaceutical Sciences, Biotechnology, Biology, Microbiology, or a related scientific discipline is highly preferred.
Attributes
  • Experience supporting sterile drug product manufacturing within the pharmaceutical or biotechnology industry.
  • Hands-on experience with aseptic filling operations, process characterization, process validation (PPQ), technology transfer, and commercial process support.
  • Experience authoring and executing validation protocols, characterization studies, technical reports, investigations, and change controls.
  • Strong knowledge of GMP requirements, aseptic processing principles, contamination control strategy, and pharmaceutical quality systems.
  • Experience performing statistical analysis using JMP or Minitab and applying data-driven approaches to process optimization.
  • Ability to analyze manufacturing data, identify process trends, and recommend scientifically sound solutions.
  • Experience working in cross-functional teams with Manufacturing, Quality, Engineering, Regulatory, and Technical Services.
  • Strong technical writing, communication, presentation, and project management skills.
  • Ability to independently manage multiple projects in a fast-paced manufacturing environment while supporting commercial readiness and continuous process improvement.
  • Experience with single-use technologies, filling equipment, and sterile manufacturing operations is highly desirable.
Summary

To independently conceive, design, implement and advance scientific experiments, which contribute to the successful completion of goals and/or projects. Interprets experimental strategies or leads these activities. Provides input to new processes to generate robust and reliable data. Functions as a lead scientific / technical resource or as a project leader.

Functions
  1. Independently monitors or conducts experiments, studies, or a series of experiments/studies to advance projects or technologies
  2. Provides advanced data analysis and interpretation, and assesses impact of data on the project and makes recommendations
  3. Expands knowledge-seeking beyond core area of expertise
  4. Identifies relevant external competitive knowledge
  5. Independently prepares new and novel protocols/experimental design
  6. Key contributor to an independent research/project team
  7. Initiates productive collaborations outside of the department or company
  8. Introduces new or advanced technologies and/or concepts
  9. May contribute to scientific journal articles or complex technical documents as lead author
  10. Leads department-wide support efforts such as safety, recruiting and committees
  11. Develops supervisory and mentoring skills
  12. Makes proactive decisions that contribute to the achievement of milestones
  13. Plans detailed procedures for defined projects, including timelines, milestones, methodological approaches, expected results and necessary resources.

At Validation & Engineering Group, people always come first. We believe that when you're empowered to do your best work, bold ideas thrive and real progress happens. This isn't just a job - it's an opportunity to make a meaningful difference by shaping the future of healthcare and technology alongside a purpose-driven, supportive team.

Excited to build something meaningful together? We look forward to hearing from you.

Validation & Engineering Group is an equal opportunity employer. All applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability status.

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