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Phd Researcher Salary Jobs (NOW HIRING)

Seven Research

Quantitative Researcher

New York, NY

$200K - $300K/yr

PhD, master's, or bachelor's degree in computer science, statistics, physics, or a related ... salary range for this role is $200,000 - $300,000. This does not include other forms of ...

Seven Research

Quantitative Researcher

New York, NY · On-site

$200K - $300K/yr

PhD, master's, or bachelor's degree in computer science, statistics, physics, or a related ... salary range for this role is $200,000 - $300,000. This does not include other forms of ...

IMC

Quantitative Researcher - Options

Chicago, IL · On-site

$250K - $300K/yr

Ms or PhD in a highly quantitative field * At least 5 years in financial services or a quantitative ... Base salary is only one component of total compensation; all full-time, permanent positions are ...

Seven Research

Deep Learning Researcher

New York, NY · On-site

$200K - $300K/yr

PhD degree in computer science or a related field * Mastery of deep learning techniques and proven ... Experience with high-performance computing Job Compensation Range The base salary range for this ...

Seven Research

Deep Learning Researcher

New York, NY · On-site

$200K - $300K/yr

PhD degree in computer science or a related field * Mastery of deep learning techniques and proven ... Experience with high-performance computing Job Compensation Range The base salary range for this ...

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Phd Researcher Salary information

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$30K

$113.1K

$164.5K

How much do phd researcher salary jobs pay per year?

As of May 28, 2026, the average yearly pay for phd researcher salary in the United States is $113,102.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,000.00 and $154,000.00 per year, depending on experience, location, and employer.

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

To thrive as a PhD Researcher, you need advanced analytical skills, deep subject matter expertise, and a strong background in research methodologies, typically supported by a master's degree or equivalent experience. Familiarity with statistical software (such as SPSS, R, or Python), data collection tools, and academic publishing platforms is essential. Critical thinking, perseverance, and effective written and verbal communication are vital soft skills for this role. These skills enable researchers to design rigorous studies, solve complex problems, and share findings clearly, which are crucial for academic and scientific advancement.

What are some common challenges PhD researchers face when managing their workload and research deadlines?

PhD researchers often juggle multiple responsibilities, including conducting original research, publishing papers, attending conferences, and sometimes teaching or assisting with departmental duties. Balancing these tasks while meeting strict research milestones can be challenging, especially when navigating unexpected experimental results or data analysis issues. Effective time management, clear communication with supervisors, and setting realistic goals are essential strategies for overcoming these challenges. Support from research groups and collaboration with peers can also help alleviate workload pressures and foster a productive research environment.

What is the average salary for a PhD researcher?

The average salary for a PhD researcher varies depending on the country, institution, and field of study. In the United States, PhD researchers, often referred to as doctoral research assistants or fellows, typically earn between $25,000 and $40,000 per year, usually as a stipend rather than a traditional salary. In Europe, especially in countries like Germany or the UK, salaries can range from €1,500 to €2,500 per month after taxes. These amounts can differ based on funding sources, seniority, and cost of living in different regions.

What is the difference between Phd Researcher Salary vs Postdoctoral Researcher Salary?

AspectPhd Researcher SalaryPostdoctoral Researcher Salary
Required CredentialsPhD degree or equivalentPhD degree or equivalent
Work EnvironmentAcademic, research institutions, industry R&DAcademic labs, research institutions
Employer & Industry UsageUniversities, research centers, private sectorUniversities, government labs, research institutes

Typically, Phd Researchers and Postdoctoral Researchers hold similar qualifications, but Phd Researchers often have more experience or specialized skills, leading to higher salaries. Postdoctoral roles are usually temporary, focusing on research development, while Phd Researchers may have more permanent or advanced positions within research teams.

More about Phd Researcher Salary jobs
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Phd Researcher Salary jobs near you
Infographic showing various Phd Researcher Salary job openings in the United States as of May 2026, with employment types broken down into 98% Full Time, and 2% Contract. Highlights an 41% Physical, 34% Hybrid, and 25% Remote job distribution, with an average salary of $113,102 per year, or $54.4 per hour.

Quantitative Researcher (Full-Time - PhD+)

Radix Trading

Bronx, NY

Full-time

Posted 5 days ago

Job description

As a Quantitative Researcher, your focus is on identifying trading opportunities, but you can add even more value with strong quantitative skills and some coding proficiency to accelerate the innovation process and help others leverage your work. 

By working on a variety of projects with different collaborators over the start of your career, you’ll gain new knowledge and insight into the fundamentals of market dynamics, trading strategies, and our proprietary research platform. We believe in learning through impactful work, so while you learn the intricacies of our industry, you’ll have plenty of opportunities to contribute and directly affect our bottom line within your first few weeks on the team.  

While interest in trading is key, a background in finance is definitely not. Our team is built mostly from academia — not from other trading firms. We seek mental diversity and add a select group of academics each year from a wide range of disciplines. 

COMPENSATION – Competitive salary, plus quarterly bonus based on individual performance and contribution towards success of others and the firm.

Qualifications

We’re looking for highly analytical people (math, physics, computer science, statistics, electrical engineering, etc.) who want to help build the research-driven trading firm of the future. To do that, you’ll need the following qualities:

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  • Persistent Drive to Improve - Do you have an innate desire to rise to the next level, even after great accomplishment?
  • Creative Problem Solving and Probabilistic Thinking - You must enjoy learning and implementing new concepts quickly, combining knowledge from different domains to create new ideas, and take a data-driven and probabilistic approach to testing and implementing new ideas.
  • Team Mindset - We want people who understand 1+1 > 2 and are as committed to making the team better through sharing ideas as they are driven to improve their individual performance.
  • Mental Flexibility & Self Awareness - You’ll have to frequently adapt based on new data, results, and feedback on your trading ideas and your performance.
  • Orientation for Making Money - Although we value academic training, our work is not an academic exercise. We take a hacker’s approach to testing ideas, dropping projects that consume time without high upside, and focusing our next efforts on what will create the most value for the firm.

Research / Quant trading strategy skills to have or develop

  • Strong intuition and deep thinking with data sets - Designs new alphas, understands complex systems; knows where to start, or ask others where to start
  • Demonstrates strong “hacking” ability to quickly get into data to look for empirical relationships and decipher noise or signal
  • Familiarity with classical statistical methods and knows when and how to apply them in a rigorous fashion; Easily learns how to apply new statistical methods; will seek out and learn new methods to better solve problem
    • Experience with modern AI techniques and methods or desire to work on Applied Machine Learning Problems a plus
  • Constantly questions finance/trading data and stays motivated to seek answers despite most often proving that there is no correlation or signal
  • Experience in setup of research framework and execution of projects
  • Understanding of financial products, market dynamics, and microstructure
  • Experience programming in Low-level computer languages (like C++); awareness of strength in particular language and ability to solve more complex problems due to understanding nuances of the language

Apply