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Remote Holocaust Studies Jobs (NOW HIRING)

Remote Holocaust Studies information

What are remote Holocaust studies?

Remote Holocaust studies refer to the academic exploration of the history, impact, and memory of the Holocaust through online or distance learning platforms. These programs allow students and researchers to access lectures, archives, and resources from anywhere in the world, often in collaboration with museums, universities, and memorial institutions. Remote Holocaust studies can include courses, webinars, virtual seminars, and access to digitized primary sources. This format increases accessibility for those who cannot attend in-person classes and encourages global participation in Holocaust education and research.

What are the key skills and qualifications needed to thrive in Remote Holocaust Studies, and why are they important?

To thrive in Remote Holocaust Studies, you need a strong background in history, research methodologies, and Holocaust-specific scholarship, often supported by an advanced degree in history, Jewish studies, or related fields. Familiarity with digital archives, academic databases, and online teaching platforms is typically required. Excellent written communication, critical thinking, and cultural sensitivity are essential soft skills for engaging with sensitive material and diverse audiences. These skills ensure rigorous scholarship, effective remote collaboration, and responsible handling of complex historical topics.

What are some common challenges faced by professionals working in remote Holocaust studies, and how can they be addressed?

Professionals in remote Holocaust studies often face challenges such as limited access to physical archives, the need for reliable digital resources, and potential feelings of isolation due to the sensitive nature of the subject. To address these, leveraging digital archives, participating in online forums or academic networks, and collaborating with international scholars via virtual conferences can be highly beneficial. Additionally, maintaining regular communication with colleagues and seeking mentorship within the field can help foster a supportive remote work environment.

What is the difference between Remote Holocaust Studies vs Remote History Research?

AspectRemote Holocaust StudiesRemote History Research
Required CredentialsHistory degree, Holocaust studies certificationHistory degree, research experience
Work EnvironmentAcademic, museum, or educational settingsResearch institutions, universities, archives
Employer & Industry UsageHistorical organizations, educational institutionsUniversities, research centers, think tanks
Search & Comparison IntentUnderstanding Holocaust history, educational contentBroader historical topics, research projects

Remote Holocaust Studies focuses specifically on the history and impact of the Holocaust, often requiring specialized certifications and working within educational or memorial organizations. Remote History Research covers a wider range of historical topics, including but not limited to the Holocaust, and is used across various research and academic settings. While both roles involve historical analysis, their focus, credentials, and work environments differ significantly.

More about Remote Holocaust Studies jobs
What cities are hiring for Remote Holocaust Studies jobs? Cities with the most Remote Holocaust Studies job openings:
What are the most commonly searched types of Holocaust Studies jobs? The most popular types of Holocaust Studies jobs are:
What states have the most Remote Holocaust Studies jobs? States with the most job openings for Remote Holocaust Studies jobs include:
Infographic showing various Remote Holocaust Studies job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.
Statistical Programming Assistant

Statistical Programming Assistant

Claims Conference

Remote

Other

Posted 3 days ago


Job description

Statistical Programming Assistant

The Conference on Jewish Material Claims Against Germany (Claims Conference), a nonprofit organization with offices in New York, Israel, Germany and Austria, secures material compensation for Holocaust survivors around the world. Founded in 1951 by representatives of 23 major international Jewish organizations, the Claims Conference negotiates for and disburses funds to individual survivors and organizations and seeks the return of Jewish property stolen during the Holocaust. As a result of negotiations with the Claims Conference since 1952, the German government has paid more than $95 billion in indemnification to individuals for suffering and losses resulting from persecution by the Nazis. In 2025, the Claims Conference distributed approximately $530 million in compensation for survivors globally and $960 million for survivors' welfare needs such as home care, medicine and food.

We are seeking a motivated and technically skilled part-time Statistical Programming Assistant to support research, data analysis, and statistical programming on projects related to the study of Holocaust survivor demography and population research.

This part-time role focuses on statistical computing in R, data validation, research data preparation, analysis and modeling activities while working closely with senior research staff on active research projects. The position is well-suited for students or early-career professionals with formal training in statistics, biostatistics, econometrics, demography or related quantitative field in the social sciences. The work involves careful construction and cleaning of real-world datasets, implementation of statistical models, and production of reproducible research outputs in collaboration with senior research staff.

Note: This is a part-time remote role, 15 hours per week.

Responsibilities

  • Assist with data cleaning, restructuring, and validation;
  • Write and maintain R code for data preparation and applied statistical modeling;
  • Prepare datasets for modeling and analysis;
  • Create reproducible analysis workflows (R scripts, documentation, organized outputs);
  • Prepare summary tables, statistical outputs, and visualizations;
  • Assist with data extraction and wrangling from SQL-based databases.

Required Qualifications

  • Current or recent student in statistics, biostatistics, econometrics, demography, public health, quantitative social sciences, or related field;
  • Proficiency in R for statistical computing (e.g., tidyverse, modeling functions, data manipulation);
  • Coursework in regression analysis and statistical inference;
  • Experience cleaning and preparing data for analysis;
  • Strong analytical and problem-solving skills;
  • Ability to work independently and collaboratively.

Preferred Qualifications

  • Interest in Holocaust studies, Jewish studies, history, demography, or related research areas;
  • Experience with statistical modeling;
  • Comfort working with relational data and SQL queries;
  • Experience working with longitudinal or administrative data;
  • Interest in applied research and population studies.

What This Role Is

  • Applied statistical programming in a research setting
  • Hands-on work with real, complex datasets
  • Focused on inference, modeling, and careful data construction
  • Collaborative, mentored research experience

What This Role Is Not

  • A machine learning engineering position
  • A business intelligence/dashboarding role
  • A product analytics or AI development role

Application Materials

  • Resume/CV
  • Brief statement of interest
  • (Optional) Sample code, portfolio, or GitHub link

The Claims Conference offers generous benefits, opportunities for professional growth, and competitive salaries based on geographic location. Our PT hourly rate for Data Science & Statistical Programming Assistant in the New York City market is $25. This represents Claims Conference's good faith and reasonable estimate of the range of possible compensation for this role at the time of posting. The final salary for this role will be determined based on careful consideration of a variety of factors, such as the candidate's exact location, experience in similar roles, and expertise related to the qualifications. This information is offered in support of our commitment to transparency.

I acknowledge by proceeding with my application that if employed I will abide by the Claims Conference Statement of Values which can be found at this link.

The Claims Conference is an equal opportunity employer and values diversity. We do not discriminate on the basis of any category protected by law, including (without limitation) race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.