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Decision Making Postdoc Jobs (NOW HIRING)

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Decision Making Postdoc information

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$25K

$59K

$83.5K

How much do decision making postdoc jobs pay per year?

As of Jun 23, 2026, the average yearly pay for decision making postdoc in the United States is $59,022.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,000.00 and $66,500.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Decision Making Postdocs in balancing independent research with collaborative projects?

Decision Making Postdocs often need to strike a balance between pursuing their own research interests and contributing to larger lab or team projects. Juggling independent work with collaborative studies can be challenging, especially when timelines or methodologies differ. Success in this role typically involves strong communication skills, flexibility, and effective time management, as well as openness to interdisciplinary feedback. Navigating these dynamics helps postdocs build valuable experience for future academic or industry positions.

What is a Decision Making Postdoc?

A Decision Making Postdoc is a researcher who has completed their PhD and is conducting advanced research in the field of decision-making. This typically involves studying how individuals or groups make choices, using methods from psychology, neuroscience, economics, or related disciplines. Postdocs in this area often work on experimental design, data analysis, and publishing their findings, while collaborating with faculty and other researchers. The position is usually temporary, intended to further develop scholarly skills and prepare for an academic or industry career.

What is the difference between Decision Making Postdoc vs Data Scientist?

AspectDecision Making PostdocData Scientist
Required CredentialsPhD in relevant field, research experienceBachelor's or Master's in CS, stats, or related field; often a PhD preferred
Work EnvironmentAcademic or research institutions, labsTech companies, finance, healthcare, industry
Employer & Industry UsageResearch-focused roles, academiaIndustry roles, product development, analytics
Common Search & ComparisonDecision Making Postdoc vs Data Scientist

The Decision Making Postdoc primarily focuses on research and theoretical analysis related to decision processes, often within academic or research settings. In contrast, Data Scientists apply data analysis, modeling, and machine learning techniques to solve practical problems in industry. While both roles require strong analytical skills, Decision Making Postdocs emphasize research and theoretical frameworks, whereas Data Scientists focus on data-driven solutions for business applications.

What are the key skills and qualifications needed to thrive as a Decision Making Postdoc, and why are they important?

To thrive as a Decision Making Postdoc, you need a PhD in psychology, neuroscience, economics, or a related field, along with a strong background in experimental design and data analysis. Expertise in statistical software (such as R, MATLAB, or Python) and experience with behavioral or neuroimaging methods are typically required. Outstanding analytical thinking, problem-solving abilities, and effective scientific communication skills help you excel in collaborative research environments. These competencies are crucial for producing rigorous research, advancing knowledge in decision-making science, and contributing to interdisciplinary projects.
More about Decision Making Postdoc jobs
What cities are hiring for Decision Making Postdoc jobs? Cities with the most Decision Making Postdoc job openings:
What states have the most Decision Making Postdoc jobs? States with the most job openings for Decision Making Postdoc jobs include:
Infographic showing various Decision Making Postdoc job openings in the United States as of June 2026, with employment types broken down into 95% Full Time, and 5% Part Time. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $59,022 per year, or $28.4 per hour.
Postdoctoral Scientist - Dyadic Research

Postdoctoral Scientist - Dyadic Research

CEDARS-SINAI

Los Angeles, CA • Hybrid

Full-time

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


Cedars-Sinai rating

8.6

Company rating: 8.6 out of 10

Based on 129 frontline employees who took The Breakroom Quiz

37th of 1,002 rated hospitals


Job description

Job Description

Working independently but in close cooperation and in consultation with the Principal Investigator and other Research Scientists, the Postdoctoral Scientist will perform routine and complex laboratory procedures throughout training period. May develop, adapt, and implement new research techniques and protocols.

Analyzes and interprets data. May assist in preparation of grant proposals. Participates in publications and presentations as author or co-author. Not responsible for generating grant funds.


As a Postdoctoral Scientist, you will be a vital member of Dr. Tan’s interdisciplinary research team, which includes biostatisticians, qualitative research specialists, and grant administration and project management professionals. Responsibilities include leading quantitative and qualitative research projects, supporting participant engagement efforts, and fostering strong partnerships with community stakeholders and collaborators.

This role follows a hybrid work schedule; however, we can only consider applicants who will be able to commute to our Los Angeles work location a few times per week. If hired you must reside in the commutable area.

The Postdoctoral Scholar will lead advanced quantitative analyses using dyadic and multilevel modeling approaches to support innovative cancer prevention and control research within the Tan Lab at Cedars-Sinai. This role focuses on addressing health disparities and advancing research initiatives related to lung cancer survivorship, prostate cancer shared decision making, smoking cessation, and pancreatic cancer intervention development. Working closely with the Principal Investigator, the scholar will contribute to high-impact publications, grant-supported research activities, and the development of evidence-based interventions that improve patient outcomes across diverse populations.

Primary Duties and Responsibilities

  • Establish and maintain lab and study-specific SOP
  • Provides timely and constructive feedback to study team.
  • Delegate responsibilities to team members to efficiently execute research protocols and procedures.
  • Experience working in interdisciplinary and transdisciplinary teams.
  • May assist in the preparation of grant proposals, but is not responsible for generating grant funds.
  • May participate in publications and presentations as author or co-author.
  • Designs and performs experiments. Will keep appropriate experimental records and documentation and analyze the results with the Principal Investigator (PI).
  • May develop, adapt, and implement new research techniques and protocols.
  • Analyzes interpret, summarizes, and compiles data.
  • Performs routine and complex laboratory procedures throughout the training period.
  • Operates and maintains equipment and instruments.
  • May observe PI-patient or PI-human research subject interactions as it pertains directly to research being performed.

Day-to-Day Responsibilities
 

  • Lead and conduct advanced statistical analyses utilizing dyadic matched-pairs and multilevel modeling methodologies for cancer prevention and control research studies.
  • Collaborate with the Principal Investigator and research team to support study design, protocol development, and interpretation of complex research findings.
  • Analyze hierarchical and interdependent data structures to address health disparities and inform intervention development.
  • Support ongoing research initiatives related to lung cancer survivorship, prostate cancer shared decision making, smoking cessation, and pancreatic cancer interventions. 
  • Prepare manuscripts, abstracts, presentations, and other scholarly materials for publication and scientific dissemination.
  • Contribute to grant proposal preparation and other research-related funding activities.
  • Maintain organized research workflows, support laboratory operations, and ensure timely execution of project deliverables.
  • Participate in interdisciplinary collaboration with faculty, clinicians, and research staff to advance the Cancer Center’s research mission.
Qualifications

This role follows a hybrid work schedule; however, we can only consider applicants who will be able to commute to our Los Angeles work location a few times per week. If hired you must reside in the commutable area.

Requirements:

  • Doctorate (MD, PhD, VMD, or DDS) in area directly related to field of research specialization.
  • Only applicants who submit a cover letter with their application materials will be considered for this opportunity.
  • 1 year, acquires thorough technical and theoretical knowledge of research project and objectives during one to five (1-5) year post-doctoral appointment.

Preferred:

  • Demonstrated expertise in dyadic data analysis, matched-pairs research design, and multilevel modeling techniques.
  • Experience conducting quantitative research in cancer prevention, survivorship, behavioral interventions, or health disparities research.
  • Strong proficiency with statistical software packages such as R, SAS, SPSS, Stata, or Mplus.
  • Proven track record of scholarly productivity, including peer-reviewed publications and scientific presentations.
  • Experience supporting or contributing to grant-funded research activities and manuscript development.
  • Strong analytical, organizational, and communication skills with the ability to manage multiple research priorities in a collaborative academic environment.
  • Ability to work independently while contributing effectively within a multidisciplinary research team.

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