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Statistical Inference Jobs (NOW HIRING)

Claims Conference

Statistical Programming Assistant

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 ...

Exponent

Statistical Scientist (Ph.D.)

Bellevue, WA · On-site

Responsibilities : • Participating in diverse projects involving exploratory data analysis, statistical inference, and predictive modeling • Applying risk analysis methodologies to problems in ...

BridgeBio Pharma

Senior Statistical Geneticist

$185K - $230K/yr

Working independently in a dynamic, data-driven environment, you will leverage methods from multiple disciplines, including statistical inference, machine learning, and simulation frameworks, to ...

General Atomics

Data Scientist III

Charlottesville, VA · On-site

You'll apply statistical inference, state-space modeling, and Monte Carlo methods to multi-target tracking challenges that combine mathematical rigor with operational constraints. Your work will span ...

General Atomics

Data Scientist III

Charlottesville, VA · On-site

$98K - $171K/yr

You'll apply statistical inference, state-space modeling, and Monte Carlo methods to multi-target tracking challenges that combine mathematical rigor with operational constraints. Your work will span ...

Haystack News

Senior Data Scientist

Fort Lauderdale, FL · On-site

In this role, you'll leverage your advanced statistical analysis, modeling, causal inference, experimental design (A/B testing) and data analytics expertise to drive substantial improvements in user ...

ConfigUSA

Data Scientist

Saint Louis, MO · On-site

Engineering, Social Science, or Statistics) • Must have 2+ years of experience with predictive models, statistical inference, and/or other forms of quantitative analysis • Must have experience ...

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Statistical Inference information

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How much do statistical inference jobs pay per hour?

As of Jul 18, 2026, the average hourly pay for statistical inference in the United States is $56.31, according to ZipRecruiter salary data. Most workers in this role earn between $41.11 and $71.88 per hour, depending on experience, location, and employer.

What is the difference between Statistical Inference vs Data Analyst?

AspectStatistical InferenceData Analyst
Primary FocusDrawing conclusions from data samplesAnalyzing and interpreting data to inform business decisions
Skills & CertificationsStatistics, probability, hypothesis testing, certifications like SAS or RData visualization, SQL, Excel, often with certifications like Microsoft Excel or Tableau
Work EnvironmentResearch institutions, academia, data science teamsBusiness, marketing, finance departments
Usage in IndustryDesigning experiments, making inferences about populationsReporting insights, creating dashboards, data cleaning

While both roles involve working with data, Statistical Inference focuses on making conclusions from data samples using statistical methods, often in research settings. Data Analysts interpret data to support business decisions, emphasizing data visualization and reporting. Understanding these differences helps clarify career paths and job expectations in data-related fields.

What jobs use causal inference?

Statistical inference roles, such as data analysts, data scientists, and econometricians, frequently use causal inference to determine cause-and-effect relationships in data. These jobs often require knowledge of statistical methods, programming skills in R or Python, and experience with experimental or observational study designs.

What is statistical inference?

Statistical inference is the process of using data analysis to deduce properties of an underlying probability distribution. It involves making predictions or generalizations about a population based on a sample. Common methods include hypothesis testing, confidence intervals, and estimation. These techniques help researchers and analysts draw meaningful conclusions from limited data, accounting for randomness and uncertainty.

Is 40 too late for data science?

Statistical inference is a key skill in data science, and age is not a barrier to entering the field. Many data scientists start careers later in life, especially if they develop relevant skills such as programming, statistics, and data analysis through online courses or certifications. Success depends on your ability to learn and adapt, not age.

What are the key skills and qualifications needed to thrive as a Statistical Inference Specialist, and why are they important?

To thrive as a Statistical Inference Specialist, you need strong mathematical and statistical knowledge, a relevant degree (such as statistics, mathematics, or data science), and experience with probability theory and hypothesis testing. Familiarity with statistical software like R, Python (with libraries such as SciPy and statsmodels), and tools like SAS or SPSS is typically required. Critical thinking, problem-solving, and clear communication skills enable you to interpret data accurately and convey findings to various stakeholders. These skills and qualities are crucial for drawing valid conclusions from data, supporting evidence-based decision-making, and ensuring the integrity of research or business analyses.

Is statistician a high paying job?

Statisticians typically earn above-average salaries compared to many other professions, with median annual wages often exceeding the national average. Factors such as experience, education level, industry, and geographic location influence earning potential, and advanced skills in statistical software and data analysis can lead to higher pay.

Is AI replacing statisticians?

Statisticians play a key role in designing experiments, analyzing data, and interpreting results, and AI tools are used to enhance these tasks. While AI automates certain repetitive or computational aspects, statisticians are needed to ensure proper methodology, validate models, and provide expert judgment. The profession evolves with technology, emphasizing skills in data analysis, programming, and domain knowledge.

What are some common challenges faced by professionals working in statistical inference roles?

Professionals in statistical inference often face challenges such as ensuring data quality, dealing with incomplete or messy datasets, and selecting appropriate models for analysis. Interpreting results accurately and communicating complex statistical findings to non-technical stakeholders can also be demanding. Additionally, keeping up with advances in statistical methodologies and software tools is essential for continued professional growth in this field.
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Statistical Inference jobs near you
Infographic showing various Statistical Inference job openings in the United States as of July 2026, with employment types broken down into 81% Full Time, 18% Part Time, and 1% Contract. Highlights an 71% Physical, 2% Hybrid, and 27% Remote job distribution, with an average salary of $117,120 per year, or $56.3 per hour.
Statistical Programming Assistant

Statistical Programming Assistant

Claims Conference

Remote

Other

Posted 25 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.

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