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Phd Optimization Research Jobs in Madison, WI (NOW HIRING)

Recognize when correct reasoning can be optimized, and offer suggestions to sharpen or clarify the ... PhD in physics and an active record of independent research within a specialized subfield (e.g ...

AI Training Specialist - Physics

Madison, WI ยท On-site +1

$80 - $150/hr

Recognize when correct reasoning can be optimized, and offer suggestions to sharpen or clarify the ... PhD in physics and an active record of independent research within a specialized subfield (e.g ...

... and research domain. In this role, you'll apply your expertise to help train next-generation AI ... Advanced degree (PhD preferred) in Chemistry or closely related field. * Extensive hands-on ...

PhD in atomic, optical, AMO, quantum physics, or a related field, or equivalent professional ... optimization, or related processor architectures; familiarity with physical error mechanisms and ...

PhD in atomic, optical, AMO, quantum physics, or a related field, or equivalent professional ... optimization, or related processor architectures; familiarity with physical error mechanisms and ...

Sr Biochemistry Scientist

Madison, WI ยท On-site

$92K - $126K/yr

... from cancer research to agriculture. As part of a diverse, self-directed team, you will be ... Responsible for the development, optimization, characterization, and transfer of biochemical and ...

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Phd Optimization Research information

See Madison, WI salary details

$29.7K

$96K

$156.2K

How much do phd optimization research jobs pay per year?

As of Aug 19, 2026, the average yearly pay for phd optimization research in Madison, WI is $96,042.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,600.00 and $109,800.00 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.

Infographic showing various Phd Optimization Research job openings in Madison, WI as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 81% Full Time, 13% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $96,042 per year, or $46.2 per hour.

Director, Pharmacometrics & Clinical Pharmacology

Arrowhead Pharmaceuticals

Madison, WI โ€ข On-site

Full-time

Re-posted 3 days ago


Job description

Arrowhead Pharmaceuticals, Inc. (Nasdaq ARWR) is a commercial stage biopharmaceutical company that develops medicines that treat intractable diseases by silencing the genes that cause them. Using a broad portfolio of RNA chemistries and efficient modes of delivery, Arrowhead therapies trigger the RNA interference mechanism to induce rapid, deep, and durable knockdown of target genes. RNA interference, or RNAi, is a mechanism present in living cells that inhibits the expression of a specific gene, thereby affecting the production of a specific protein. Arrowhead's RNAi-based therapeutics leverage this natural pathway of gene silencing.

Arrowhead is focused on developing innovative drugs for diseases with a genetic basis, typically characterized by the overproduction of one or more proteins that are involved with disease. The depth and versatility of our RNAi technologies enables us to potentially address conditions in virtually any therapeutic area and pursue disease targets that are not otherwise addressable by small molecules and biologics. Arrowhead is leading the field in bringing the promise of RNAi to address diseases outside of the liver, and our clinical pipeline includes disease targets in the liver and lung with a promising pipeline of preclinical candidates.

Arrowhead's corporate headquarters is in Pasadena, CA with research and development teams in Madison, WI & San Diego, CA, and a state of the art manufacturing facility in Verona, WI. Our employees are nimble, science-driven innovators who are collaborating to bring new therapies to patients in need.

The Position

Arrowhead Pharmaceuticals is seeking a Director of Pharmacometrics and Clinical Pharmacology to provide strategic and scientific leadership across the company's clinical development programs. This senior-level role is responsible for advancing pharmacometric and clinical pharmacology strategies to support the global development and regulatory submission of Arrowhead's leading siRNA therapeutics.

The Director will play a critical role in clinical trial design, data analysis, regulatory documentation, and cross-functional decision-making, ensuring that dosing strategies and clinical pharmacology plans are scientifically rigorous and aligned with regulatory expectations.

Responsibilities

  • Serve as the pharmacometrics and clinical pharmacology lead across multiple development programs within Arrowhead's RNAi therapeutic portfolio.
  • Lead model-informed drug development strategies, including population PK/PD analyses, exposure-response analyses, translational modeling, dose optimization, and quantitative interpretation of clinical and translational data.
  • Develop and support clinical pharmacology strategies for first-in-human studies, dose escalation and optimization, proof-of-concept studies, drug-drug interaction assessments, food effect studies, and special population evaluations.
  • Provide scientific leadership and oversight for PK/PD analyses and modeling activities conducted internally and through external CRO partners.
  • Contribute to global regulatory submissions and health authority interactions, including INDs, CTAs, NDA/BLA submissions, briefing documents, and responses to agency questions.
  • Author and review clinical pharmacology content for Investigational Brochures (IBs), clinical protocols, Clinical Study Reports (CSRs), and regulatory submission documents.
  • Collaborate closely with Clinical Development, Translational Sciences, Regulatory Affairs, Biometrics, Biomarkers, Medical Affairs, and Program Leadership teams to support program strategy and execution.
  • Present quantitative analyses, development strategies, and recommendations to project teams and senior leadership.
  • Maintain current knowledge of evolving scientific methodologies, regulatory guidance, and industry trends related to pharmacometrics, clinical pharmacology, and RNAi therapeutics.

Requirements

  • PhD or equivalent advanced degree in Pharmacokinetics, Pharmacology, Pharmaceutical Sciences, Biomedical Engineering, Applied Mathematics, or related quantitative discipline.
  • 12+ years in pharmacometrics and/or clinical pharmacology, including experience supporting late-stage development programs and global regulatory submissions.
  • Deep expertise in population PK/PD modeling and simulation with strong proficiency in industry-standard software such as NONMEM.
  • Strong understanding of exposure-response analysis, translational modeling, dose optimization, and model-informed drug development principles.
  • Experience supporting regulatory interactions with FDA, EMA, and other global health authorities.
  • Knowledge of PBPK, QSP, mechanistic modeling, or systems pharmacology approaches is highly desirable.
  • Prior experience with oligonucleotide, RNAi, rare disease, liver-targeted therapeutics, or other complex biologic modalities is preferred.
  • Demonstrated ability to independently lead complex scientific initiatives and influence cross-functional teams in a matrixed environment.
  • Excellent communication and presentation skills, with the ability to clearly communicate complex quantitative concepts to scientific and non-scientific audiences.

Preferred

  • Familiarity with PBPK/PD or quantitative systems pharmacology (QSP) modeling
Wisconsin pay range
$200,000—$230,000 USD
California pay range
$230,000—$255,000 USD

Arrowhead provides competitive salaries and an excellent benefit package.

Candidates must have current, valid authorization to work in the country where this role is located.

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