Post Doctoral Fellow - PHS/Data Science
Clemson, SC · On-site
$65K/yr
... research related to the implementation of the methods developed. Supervision The Postdoctoral ... Salary: $65,000 Benefits:
Post Doctoral Fellow - PHS/Data Science
Clemson, SC · On-site
$65K/yr
... research related to the implementation of the methods developed. Supervision The Postdoctoral ... Salary: $65,000 Benefits:
Salary Department: IACH Post Doc Job Summary: We are seeking a postdoctoral fellow to join a collaborative team advancing research on the non-medical drivers of health and their impact on chronic ...
Salary Department: IACH Post Doc Job Summary: We are seeking a postdoctoral fellow to join a collaborative team advancing research on the non-medical drivers of health and their impact on chronic ...
Salary Department: Chemistry Job Summary: The Department of Chemistry at Furman University invites ... D. in inorganic chemistry or a closely related field with postdoctoral experience strongly ...
Salary Department: Chemistry Job Summary: The Department of Chemistry at Furman University invites ... D. in inorganic chemistry or a closely related field with postdoctoral experience strongly ...
Postdoc Researcher Salary information
See Pendleton, SC salary details
$46.9K - $51.6K
1% of jobs
$51.6K - $56.2K
1% of jobs
$56.2K - $60.9K
0% of jobs
$60.9K - $65.5K
0% of jobs
$65.5K - $70.2K
0% of jobs
$70.2K - $74.8K
0% of jobs
$74.8K - $79.5K
0% of jobs
$79.5K - $84.1K
0% of jobs
$84.1K - $88.8K
0% of jobs
$88.8K - $93.4K
0% of jobs
$94.5K is the 25th percentile. Wages below this are outliers.
$93.4K - $98.1K
98% of jobs
$46.9K
$98.1K
How much do postdoc researcher salary jobs pay per year?
As of Aug 15, 2026, the average yearly pay for postdoc researcher salary in Pendleton, SC is $95,361.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,300.00 and $97,300.00 per year, depending on experience, location, and employer.
What is the typical salary for a postdoc researcher?
The typical salary for a postdoc researcher varies depending on the country, institution, field, and level of experience. In the United States, postdoctoral salaries usually range from $50,000 to $65,000 per year, with some variation based on funding sources and location. In Europe and other regions, salaries can differ significantly, sometimes being lower than in the US. Benefits such as health insurance and retirement contributions may also be included. It's important to check the specific institution and funding agency guidelines for the most accurate information.
What are some common challenges postdoc researchers face regarding salary negotiations and compensation packages?
Postdoc Researchers often encounter challenges when negotiating salaries, as compensation is typically set by institutional policies or grant funding rather than individual negotiation. Salaries can vary widely based on location, field, and funding source, and may not always reflect the level of experience or expertise. Additionally, benefits such as health insurance, retirement contributions, and professional development funds can differ between institutions. It's important for candidates to review the full compensation package and inquire about opportunities for raises, external fellowships, or supplemental teaching assignments that can enhance overall earnings.
What is the difference between Postdoc Researcher Salary vs Research Scientist Salary?
| Aspect | Postdoc Researcher Salary | Research Scientist Salary |
|---|---|---|
| Required Credentials | PhD or equivalent | PhD or equivalent, often with additional experience |
| Work Environment | Academic or research institutions | Industry, corporate R&D, or academia |
| Employer & Industry Usage | Universities, government labs | Private companies, biotech, pharma |
| Salary Range | $40,000 - $60,000 | $70,000 - $120,000 |
Postdoc Researchers typically hold a PhD and work mainly in academic or research institutions, earning lower salaries compared to Research Scientists, who often have similar credentials but work in industry settings with higher compensation. The main differences lie in the work environment and salary levels, with Research Scientists generally earning more due to industry demands and funding.
Is it difficult to get a postdoc researcher position?
Securing a postdoc researcher position can be competitive, often requiring a strong academic record, relevant research experience, and published work. Success also depends on the availability of funding, the specific field, and networking within academic circles.
What are the key skills and qualifications needed to thrive as a postdoc researcher, and why are they important?
To thrive as a Postdoc Researcher, you need a doctoral degree in a relevant field, strong research methodology skills, and a record of scholarly publications. Familiarity with specialized laboratory equipment, data analysis software, and sometimes grant-writing or project management systems is important. Excellent problem-solving, collaboration, and communication skills enable you to contribute to teams and share findings effectively. These abilities are crucial for advancing scientific knowledge, building professional networks, and driving successful research outcomes.
What job categories do people searching Postdoc Researcher Salary jobs in Pendleton, SC look for?
The top searched job categories for Postdoc Researcher Salary jobs in Pendleton, SC are:
$65K/yr
Full-time, Contractor
Re-posted 20 days ago
Clemson University rating
7.0
Based on 25 frontline employees who took The Breakroom Quiz
436th of 618 rated colleges and universities
Job description
Description
POSTDOCTORAL FELLOW IN DATA SCIENCE: OUTBREAK ANALYTICS AND DISEASE MODELING
Title: Postdoctoral Fellow
Location: Department of Public Health Sciences (Clemson University's main campus, SC)
Term: renewable 12-month position
Clemson University's Center for Public Health Modeling and Response (PHMR) invites applications for a Postdoctoral Fellowship to join a CDC-funded center grant to create a national network in outbreak analytics and disease modeling. The mission of PHMR is to develop and utilize data-driven approaches to inform clinical and public health decision-making and assist the ability of health organizations and communities to prepare for and respond to, public health threats. The Postdoctoral Fellow will be a part of Clemson's DMA-PRIME division (Disease Modeling and Analytics to inform outbreak Preparedness, Response, Intervention, Mitigation, and Elimination). For this position, we seek an enthusiastic, collaborative researcher with training in data science with an interest in developing and implementing artificial intelligence (AI) and machine learning (ML) techniques to inform and improve outbreak detection, forecasting, and public health response nationwide.
Duties and responsibilities: The postdoctoral fellowship will focus on developing and implementing AI and ML methodology, with the ultimate goal of detecting/ predicting disease hotspots and informing real-time outbreak response efforts. The models and predictions generated will be integrated into health systems across South Carolina to 1) inform and improve strategic delivery of mobile health clinics for infectious disease testing, treatment, and vaccination, 2) inform community awareness, and 3) run statewide disaster simulation scenarios. The postdoc will be expected to lead publications for the models developed and collaborate on (or lead) publications in public health, medical, and policy journals for research related to the implementation of the methods developed.
Supervision
The Postdoctoral Fellow's main appointment will be within the Center for Public Health Modeling and Response, located within the Department of Public Health Sciences. Dr. Rennert will serve as the primary advisor, with Dr. McMahan, Dr. Wu, and Dr. Iuricich as co-advisors. The appointment is funded for 2 years, with future years contingent on funding/performance. Salary is highly competitive with a competitive benefits package and negotiable start date.
Qualifications
Required Qualifications
• A PhD in data science or related fields, with demonstrated knowledge in machine learning, deep learning, or statistical analysis.
• Proficiency in programming languages commonly used in data science and AI, with a strong emphasis on Python. Knowledge of other languages such as R, MATLAB, or C plus plus may be beneficial.
• Proficiency in data preprocessing, cleaning, and feature engineering. Familiarity with tools and libraries for data manipulation, such as pandas and NumPy.
• Expertise in machine learning frameworks and libraries, like TensorFlow, PyTorch, or scikit-learn.
Desirable Qualifications
• Specialized expertise in a particular subfield of AI, such as natural language processing, generative adversarial networks, or transformers.
• Domain-specific knowledge, such as healthcare, medicine
• A history of publishing research findings in conferences, journals, or other relevant platforms.
Application Instructions
Application Instructions: Applicants should submit a cover letter, CV, and contact information for three references through Interfolio: http://apply.interfolio.com/136202
Inquiries should be sent to Dr. Lior Rennert (liorr@clemson.edu) and Dr. Federico Iuricich (fiurici@clemson.edu).
Salary: $65,000
Benefits: https://www.clemson.edu/human-resources/benefits/index.html
POSTDOCTORAL FELLOW IN DATA SCIENCE: OUTBREAK ANALYTICS AND DISEASE MODELING
Title: Postdoctoral Fellow
Location: Department of Public Health Sciences (Clemson University's main campus, SC)
Term: renewable 12-month position
Clemson University's Center for Public Health Modeling and Response (PHMR) invites applications for a Postdoctoral Fellowship to join a CDC-funded center grant to create a national network in outbreak analytics and disease modeling. The mission of PHMR is to develop and utilize data-driven approaches to inform clinical and public health decision-making and assist the ability of health organizations and communities to prepare for and respond to, public health threats. The Postdoctoral Fellow will be a part of Clemson's DMA-PRIME division (Disease Modeling and Analytics to inform outbreak Preparedness, Response, Intervention, Mitigation, and Elimination). For this position, we seek an enthusiastic, collaborative researcher with training in data science with an interest in developing and implementing artificial intelligence (AI) and machine learning (ML) techniques to inform and improve outbreak detection, forecasting, and public health response nationwide.
Duties and responsibilities: The postdoctoral fellowship will focus on developing and implementing AI and ML methodology, with the ultimate goal of detecting/ predicting disease hotspots and informing real-time outbreak response efforts. The models and predictions generated will be integrated into health systems across South Carolina to 1) inform and improve strategic delivery of mobile health clinics for infectious disease testing, treatment, and vaccination, 2) inform community awareness, and 3) run statewide disaster simulation scenarios. The postdoc will be expected to lead publications for the models developed and collaborate on (or lead) publications in public health, medical, and policy journals for research related to the implementation of the methods developed.
Supervision
The Postdoctoral Fellow's main appointment will be within the Center for Public Health Modeling and Response, located within the Department of Public Health Sciences. Dr. Rennert will serve as the primary advisor, with Dr. McMahan, Dr. Wu, and Dr. Iuricich as co-advisors. The appointment is funded for 2 years, with future years contingent on funding/performance. Salary is highly competitive with a competitive benefits package and negotiable start date.
Qualifications
Required Qualifications
• A PhD in data science or related fields, with demonstrated knowledge in machine learning, deep learning, or statistical analysis.
• Proficiency in programming languages commonly used in data science and AI, with a strong emphasis on Python. Knowledge of other languages such as R, MATLAB, or C plus plus may be beneficial.
• Proficiency in data preprocessing, cleaning, and feature engineering. Familiarity with tools and libraries for data manipulation, such as pandas and NumPy.
• Expertise in machine learning frameworks and libraries, like TensorFlow, PyTorch, or scikit-learn.
Desirable Qualifications
• Specialized expertise in a particular subfield of AI, such as natural language processing, generative adversarial networks, or transformers.
• Domain-specific knowledge, such as healthcare, medicine
• A history of publishing research findings in conferences, journals, or other relevant platforms.
Application Instructions
Application Instructions: Applicants should submit a cover letter, CV, and contact information for three references through Interfolio: http://apply.interfolio.com/136202
Inquiries should be sent to Dr. Lior Rennert (liorr@clemson.edu) and Dr. Federico Iuricich (fiurici@clemson.edu).
Salary: $65,000
Benefits: https://www.clemson.edu/human-resources/benefits/index.html
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