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. For 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.

The role supports research on Holocaust survivor demography and population studies through statistical programming, data preparation, and analysis in R. The position involves working closely with senior research staff on active projects, including constructing and cleaning complex datasets, implementing statistical models, and producing reproducible research outputs.

This is a part time (15 to 20 hours per week), fully remote position based in Israel.

Reports to: Demographer (based in New York)

Responsibilities:

• Clean, restructure, and validate research data
• Write and maintain R code for data preparation and applied statistical modeling
• Prepare datasets for statistical analysis and modeling
• Develop reproducible analysis workflows, including documented R scripts and organized outputs
• Prepare summary tables, statistical results, and visualizations
• Assist with data extraction and manipulation using SQL databases
• Collaborate with senior research staff to support ongoing research activities

Requirements:

• Currently studying toward, or recently completed, a degree in statistics, biostatistics, econometrics, demography, public health, quantitative social sciences, or a related field
• Proficiency in R for statistical computing, including data manipulation, tidyverse tools, and modelling functions
• Coursework in regression analysis and statistical inference
• Experience cleaning and preparing data for analysis
• Strong analytical skills, accuracy, and attention to detail
• Ability to work independently and collaboratively

Advantages:

• Experience applying statistical models
• Familiarity with relational databases and SQL queries
• Experience working with longitudinal or administrative data
• Interest in Holocaust studies, Jewish studies, history, demography, or population research

Additional Information:

This position offers practical, mentored research experience, with an emphasis on statistical inference, modelling, and careful data preparation. It does not focus on machine learning engineering, business intelligence dashboards, product analytics, or AI development.