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Phd Optimization Research Jobs in Raleigh, NC (NOW HIRING)

Lecturer

Raleigh, NC · On-site

$6.0K - $8.0K/mo

... PhD) degrees in both Mechanical Engineering (ME) and Aerospace Engineering (AE). The department ... Current research specialization in MAE includes dynamic systems and controls, vibrations ...

Academic Advisor

Raleigh, NC · On-site

$40K - $50K/yr

... PhD) degrees in both Mechanical Engineering (ME) and Aerospace Engineering (AE). The department ... Current research specialization in MAE includes dynamic systems and controls, vibrations ...

... optimization and scaling up/down, process characterization, technology transfer and GMP ... Tracks records of collaborative relations with groups such as research and development, analytical ...

Principal Graphics Developer Tools Engineer

Durham, NC · On-site

$135K - $167K/yr

... optimized, and maintained. What We Need To See: BS, MS, or PhD in Computer Science, Computer ... Strong communication skills with the ability to collaborate across engineering, research, product ...

Principal Graphics Developer Tools Engineer

Durham, NC · On-site

$135K - $167K/yr

... built, optimized, and maintained. What We Need To See: * BS, MS, or PhD in Computer Science ... Strong communication skills with the ability to collaborate across engineering, research, product ...

Senior AI Performance Architect

Raleigh, NC · On-site

$162K/yr

Optimized for Power * Ability to perform Competitive Analysis * Codesign HW with SW/GenAI (LLM ... OR PhD in Computer Science, Engineering, Information Systems, or related field. Qualcomm is an ...

Showing results 41-60

Phd Optimization Research information

See Raleigh, NC salary details

$28.7K

$92.7K

$150.7K

How much do phd optimization research jobs pay per year?

As of Sep 8, 2026, the average yearly pay for phd optimization research in Raleigh, NC is $92,654.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,800.00 and $106,000.00 per year, depending on experience, location, and employer.

What is a PhD in optimization research?

A PhD in Optimization Research is an advanced academic degree focused on developing and analyzing mathematical models and algorithms to find the best possible solutions to complex problems. This field often involves linear and nonlinear programming, combinatorial optimization, and stochastic processes, and is applied in areas such as operations research, machine learning, logistics, and engineering. Graduates are prepared for careers in academia, industry, or research institutions, where they work on improving decision-making processes and resource allocation. The program typically involves coursework, comprehensive exams, and original research leading to a dissertation.

What are the typical collaborative projects that a PhD optimization researcher might work on within a multidisciplinary team?

PhD Optimization Researchers often collaborate on projects that integrate expertise from fields such as data science, engineering, computer science, and business analytics. These projects may involve developing and implementing advanced optimization algorithms to solve complex, real-world problems like supply chain management, resource allocation, or energy systems modeling. Team members typically contribute domain knowledge, data, and problem requirements, while the optimization researcher focuses on model formulation, algorithm selection, and solution analysis. Effective communication and adaptability are essential, as researchers must translate technical findings into actionable insights for stakeholders.

What are the key skills and qualifications needed to thrive as a PhD optimization researcher, and why are they important?

To excel as a PhD Optimization Researcher, you typically need a doctorate in applied mathematics, computer science, operations research, or a related field, along with expertise in mathematical modeling and algorithm development. Proficiency with programming languages such as Python, MATLAB, or C++, and familiarity with optimization libraries and tools like Gurobi or CPLEX are commonly required. Strong analytical thinking, creativity, and effective communication skills help in formulating novel solutions and collaborating with interdisciplinary teams. These competencies are crucial for advancing research, solving complex optimization problems, and effectively disseminating findings within both academic and industry settings.

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

AspectPhd Optimization ResearchData Scientist
Required CredentialsPhD in Operations Research, Applied Mathematics, or related fieldBachelor's or Master's in Data Science, Computer Science, or related field; some roles prefer PhD
Work EnvironmentResearch labs, academia, R&D departments in industryTech companies, finance, healthcare, consulting firms
Industry UsageFocus on developing optimization algorithms, mathematical modelingFocus on data analysis, machine learning, predictive modeling
Common Search/ComparisonYesYes

While both roles involve advanced analytical skills, Phd Optimization Research primarily focuses on developing and refining optimization algorithms and mathematical models, often in research or academic settings. Data Scientists analyze large datasets to extract insights and build predictive models, often applying machine learning techniques. The roles overlap in data analysis and quantitative skills but differ in their core focus and typical work environments.

What job categories do people searching Phd Optimization Research jobs in Raleigh, NC look for?

The top searched job categories for Phd Optimization Research jobs in Raleigh, NC are:

Infographic showing various Phd Optimization Research job openings in Raleigh, NC as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $92,654 per year, or $44.5 per hour.

Associate Director, Quantitative Systems Pharmacology

Durham, NC • On-site

GlaxoSmithKline
Scientific Research and Development Services • 10K+ employees

Full-time

Medical, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Key responsibilities

  • Build and utilize QSP models of biological, physiological, and pathophysiological processes to evaluate disease, pathways, progression, and treatment options

  • Collaborate with biologists, clinicians, pharmacologists, and modelers to inform research and development programs and interpret data

  • Serve as the QSP modeling and simulation point-of-contact to support project teams in drug research and development activities


GlaxoSmithKline rating

8.9

Company rating: 8.9 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

9th of 86 rated pharmaceutical


Job description

As an Associate Director of Quantitative Systems Pharmacology (QSP) Expert, you will develop and apply QSP models to guide clinical study designs and mechanistic interpretation of study results in support of development of treatments and combination of treatments for a variety of diseases and therapeutic areas

Quantitative Systems Pharmacology (QSP) is a discipline that uses mechanistic mathematical models and disease platforms to enhance the robustness and quality of decision-making from exploratory research through clinical development. This role requires a highly motivated individual to develop and apply QSP models to guide clinical study designs and mechanistic interpretation of study results in support of development of treatments and combination of treatments for a variety of diseases and therapeutic areas. The successful candidate will be responsible for integrating and sharing data and knowledge in a highly stimulating, collaborative, and multi-disciplinary environment to influence clinical study decisions and develop a deeper understanding of physiological systems and disease mechanisms within oncology.

The position requires passion and curiosity and collaborative work in multidisciplinary teams and with QSP modelers internally and externally. In this role, the value of mechanistic models to the clinical evaluation of new and exciting drug modalities, therapeutic combinations, and patient stratification hypotheses in our diverse Oncology R&D portfolio will be brought to the forefront.


This role will provide YOU the opportunity to lead key activities to progress YOUR career. These responsibilities include some of the following:

  • Build and utilize QSP models of biological, physiological, and pathophysiological processes to evaluate a disease, its pathways and progression, as well as drug candidates or treatment modalities

  • Work in close collaboration with biologists, clinicians, clinical pharmacologists, pharmacometricians, QSP and nonclinical modelers, and other partner line colleagues to inform research and development programs and improve our understanding of disease mechanisms

  • Serve as QSP modeling & simulation point-of-contact in on project teams to solve challenging problems in drug research and development; contribute to preclinical and clinical study design and mechanistic interpretation of data

  • Develop and/or utilize state-of-the-art mathematical tools to gain insight into causal relationships between individual components of system-level and drug-level responses of drug-target-biomarker-disease-patient interaction

  • Analyze and interpret complex data sets in the context of disease mechanisms and pathways

  • Explore new QSP opportunities in combining QSP with other analytical approaches and build synergies through collaboration with computational groups including human genetics and functional genomics

  • Provide both scientific and strategic expertise in oncology therapeutic area to facilitate, develop and deliver quantitative support for decision making in clinical development programs

  • Perform scientific rigor and biological suitability assessment of QSP models and methodologies through establishing a context-driven verification & validation process (reviewing QSP model goals, assumptions, methodology, model code, model outputs, uncertainty quantification)

Oncology Translational Medicine within the Oncology Research Unit is a science driven group delivering clinical pharmacology modelling & simulation excellence to research and development programs. We use quantitative pharmacology approaches, as part of the model-informed drug discovery & development paradigm (MID3), to evolve understanding of compound behavior and optimize dose across the research and development continuum, delivering a competitive label for a filing. Our activities include:

  • Advise on dose, regimen and study design to optimize understanding of compound characteristics and variability in exposure and response across all drug development phases.
  • Provide insights to programs through mechanistic modeling of drug-target-biomarker-disease-patient interaction (QSP modeling)
  • Identify opportunities to re-use clinical data to extrapolate to untested scenarios, avoiding unnecessary additional clinical trials.
Why You?
Basic Qualification
We are seeking professionals with the following required skills and qualifications to help us achieve our goals:
  • PhD in Applied Mathematics, Engineering, Pharmaceutical Sciences, Systems Biology, or related disciplines with experience in the application of mathematical and statistical methods

  • Experience working with the theory, principles, statistical aspects of mathematical modeling and simulation, including numerical methods, parameter estimation/optimization, ordinary differential equations (ODEs), and how these can be applied in the development of complex models of biological pathways and system

  • Computational experience with one or more modeling and simulation packages or programming languages (e.g., MATLAB, R, Julia, SimBiology, C/C++)

  • Experience working with common tools for quantitative clinical pharmacology (such as NONMEM, R, WINNONLIN, Simcyp, SAS)

  • Experience developing mechanistically-sound PK-PD models

  • Experience translating, condensing, summarizing outcomes of modeling and simulation analyses into information that can be understood by project teams


Preferred Qualification
If you have the following characteristics, it would be a plus:

  • Familiar with mathematical modelling methods, guidelines, and best practices, as well as associated technology.

  • Familiar with drug development practices, especially within the area of oncology.

#LI-GSK

If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary for new hires in this position ranges $151,500 to $252,500. The US salary ranges take into account a number of factors including work location within the US market, the candidate's skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave. If salary ranges are not displayed in the job posting for a specific country, the relevant compensation will be discussed during the recruitment process.

Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees.

Why GSK?

Uniting science, technology and talent to get ahead of disease together.

GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases - to impact health at scale.

People and patients around the world count on the medicines and vaccines we make, so we're committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people.

If you require an accommodation or other assistance to apply for a job at GSK, please contact the appropriate Recruitment Staff by emailing us at -usrecruitment.adjustments@gsk.com

GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.

Important notice to Employment businesses/ Agencies

GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site.

Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK's compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at https://openpaymentsdata.cms.gov/


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About GlaxoSmithKline

Sourced by ZipRecruiter

GlaxoSmithKline is a globally recognized pharmaceutical and healthcare company based in Philadelphia, PA, USA. Originated from a merger between Glaxo Wellcome and SmithKline Beecham in 2000, the company excels in the pharmaceutical industry and holds a leading position in making medicines, vaccines, and consumer healthcare products. GSK's mission is to improve the quality of human life by enabling people to do more, feel better, and live longer. They adhere to core values of transparency, integrity, respect for people, and patient-focus, reflecting in their endeavors to conduct research and deliver innovative healthcare solutions to patients and consumers worldwide.

Industry

Scientific research and development services

Company size

10,000+ Employees

Headquarters location

Philadelphia, PA, US