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 lin

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 Conferences 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 candidates 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