Data Science Assistant

Conference on Jewish Material Claims Against Germany

Recruitment began on February 11, 2026

and the job listing Expires on March 14, 2026

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 Data Science & 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 offers hands‑on experience working with real‑world data, applied research questions, and modern analytical tools in a professional research environment. The intern will support data preparation, analysis, and modeling activities while working closely with senior research staff on active research projects.

Note:
This is a part‑time remote/hybrid/on‑site role, 15 hours per week.

Responsibilities

• Assist with data cleaning, restructuring, and validation
• Support data analysis and reporting workflows
• Contribute to statistical programming tasks
• Prepare datasets for modeling and analysis
• Produce tables, summaries, and visual outputs
• Support research documentation and organization

Required Qualifications

• Current student in statistics, data science, computer science, economics, public health, or related field
• Experience programming in R
• Familiarity with data manipulation tools (e.g., tidyverse)
• Strong analytical and problem‑solving skills
• Ability to work independently and collaboratively

Preferred Qualifications

• Academic interest in Holocaust studies, Jewish studies, history, demography, or related research areas
• Experience with statistical modeling
• Familiarity with SQL or databases
• Experience with research or analytical projects
  
  Interest in applied research and population studies
• Applied data science and statistical programming
• Research workflows and real‑world data challenges
• Research in population and survivor demography
• Professional research collaboration

Application Materials

• Resume/CV
• Brief statement of interest
• (Optional) Sample code, portfolio, or Git Hub 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.