If you are graduating with a PhD in Statistics, Physics, Mathematics, Computer Science, or a ... causal inference, or hypothesis testing... * Are able to obtain Interim Secret level security ...
If you are graduating with a PhD in Statistics, Physics, Mathematics, Computer Science, or a ... causal inference, or hypothesis testing... * Are able to obtain Interim Secret level security ...
If you are graduating with a PhD in Statistics, Physics, Mathematics, Computer Science, or a ... causal inference, or hypothesis testing... * Are able to obtain Interim Secret level security ...
If you are graduating with a PhD in Statistics, Physics, Mathematics, Computer Science, or a ... causal inference, or hypothesis testing... * Are able to obtain Interim Secret level security ...
Senior Data Scientist
Herndon, VA · On-site +1
$160K - $190K/yr
Perform statistical analysis, hypothesis testing, causal inference, and A/B test analysis. * Build ... or PhD preferred * 5+ years of experience building and deploying production ML systems, with a ...
Senior Data Scientist
Herndon, VA · On-site +1
$160K - $190K/yr
Perform statistical analysis, hypothesis testing, causal inference, and A/B test analysis. * Build ... or PhD preferred * 5+ years of experience building and deploying production ML systems, with a ...
Senior Data Scientist
Herndon, VA · On-site +1
$160K - $190K/yr
Perform statistical analysis, hypothesis testing, causal inference, and A/B test analysis. * Build ... or PhD preferred * 5+ years of experience building and deploying production ML systems, with a ...
Quick apply
Senior Data Scientist
Herndon, VA · On-site +1
$160K - $190K/yr
Perform statistical analysis, hypothesis testing, causal inference, and A/B test analysis. * Build ... or PhD preferred * 5+ years of experience building and deploying production ML systems, with a ...
As the DoE and Causal Inference Lead, you will act as a strategic force multiplier, ensuring that ... A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics ...
As the DoE and Causal Inference Lead, you will act as a strategic force multiplier, ensuring that ... A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics ...
As the DoE and Causal Inference Lead, you will act as a strategic force multiplier, ensuring that ... A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics ...
As the DoE and Causal Inference Lead, you will act as a strategic force multiplier, ensuring that ... A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics ...
Familiarity with experimental design and causal inference methodologies *Familiarity with or ... Recent PhD in relevant field *Expertise in data analysis and machine learning, with experience ...
Familiarity with experimental design and causal inference methodologies *Familiarity with or ... Recent PhD in relevant field *Expertise in data analysis and machine learning, with experience ...
Familiarity with experimental design and causal inference methodologies *Familiarity with or ... Recent PhD in relevant field *Expertise in data analysis and machine learning, with experience ...
Familiarity with experimental design and causal inference methodologies *Familiarity with or ... Recent PhD in relevant field *Expertise in data analysis and machine learning, with experience ...
Familiarity with experimental design and causal inference methodologies *Familiarity with or ... Recent PhD in relevant field *Expertise in data analysis and machine learning, with experience ...
Familiarity with experimental design and causal inference methodologies *Familiarity with or ... Recent PhD in relevant field *Expertise in data analysis and machine learning, with experience ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
Technical SETA for Biostatistics, Clinical Trials with Security Clearance
Washington, DC · On-site
$140K - $180K/yr
Causal inference 6. Innovative clinical trial design: adaptive clinical trial designs, platform ... Qualifications: 1. PhD in related field 2. Strong quantitative and statistical expertise 3. ...
Technical SETA for Biostatistics, Clinical Trials with Security Clearance
Washington, DC · On-site
$140K - $180K/yr
Causal inference 6. Innovative clinical trial design: adaptive clinical trial designs, platform ... Qualifications: 1. PhD in related field 2. Strong quantitative and statistical expertise 3. ...
Associate Data Scientist
Arlington, VA · On-site
$68K - $68K/yr
... or PhD in data science, machine learning, computer science, statistics, or related highly ... Causal inference / uplift modeling / synthetic controls, Modern ML frameworks: LightGBM/XGBoost ...
Associate Data Scientist
Arlington, VA · On-site
$68K - $68K/yr
... or PhD in data science, machine learning, computer science, statistics, or related highly ... Causal inference / uplift modeling / synthetic controls, Modern ML frameworks: LightGBM/XGBoost ...
Data Scientist
Arlington, VA · On-site
... or PhD in data science, machine learning, computer science, statistics, or related highly ... Causal inference / uplift modeling / synthetic controls, Modern ML frameworks: LightGBM/XGBoost ...
Data Scientist
Arlington, VA · On-site
... or PhD in data science, machine learning, computer science, statistics, or related highly ... Causal inference / uplift modeling / synthetic controls, Modern ML frameworks: LightGBM/XGBoost ...
Principal Data Scientist
Gaithersburg, MD · On-site
$175K - $215K/yr
What We're Looking For Education • Advanced degree (MS or PhD) in a quantitative field -- biology ... Causal inference experience -- a significant differentiator for this role • NLP/LLM expertise ...
Quick apply
Principal Data Scientist
Gaithersburg, MD · On-site
$175K - $215K/yr
What We're Looking For Education • Advanced degree (MS or PhD) in a quantitative field -- biology ... Causal inference experience -- a significant differentiator for this role • NLP/LLM expertise ...
Causal Inference Phd Internship information
What types of projects do Causal Inference PhD interns typically work on during their internship?
Causal Inference PhD interns often engage in projects that involve designing and analyzing experiments or observational studies to draw valid conclusions about cause-and-effect relationships. These projects might include developing statistical models, collaborating with data scientists and product teams, and presenting findings to inform business or policy decisions. Interns usually have the opportunity to work with large-scale, real-world data, and are encouraged to publish or present their work at conferences, supporting both professional growth and academic development.
What are the key skills and qualifications needed to thrive as a Causal Inference PhD Intern, and why are they important?
To thrive as a Causal Inference PhD Intern, you need a strong background in statistics, econometrics, and causal inference methods, often supported by advanced graduate studies in a related field. Familiarity with statistical programming languages such as R or Python, and experience using data analysis tools and frameworks like Stata or TensorFlow Probability, are typically required. Excellent problem-solving abilities, critical thinking, and the ability to communicate complex concepts clearly help you stand out in this role. These skills and qualities are crucial for designing robust experiments, drawing reliable conclusions, and effectively collaborating with interdisciplinary research teams.
What is the difference between Causal Inference Phd Internship vs Data Scientist Internship?
| Aspect | Causal Inference Phd Internship | Data Scientist Internship |
|---|---|---|
| Required Credentials | PhD in statistics, economics, or related field | Bachelor's or Master's in CS, statistics, or related field |
| Work Environment | Research-focused, academic or industry research teams | Data analysis, modeling, and business insights |
| Employer & Industry Usage | Research institutions, tech companies, finance | Tech firms, startups, finance, healthcare |
| Search & Comparison Intent | Focus on causal inference research roles | Broader data analysis roles |
While a Causal Inference Phd Internship emphasizes research in causal analysis with advanced credentials, a Data Scientist Internship covers broader data analysis skills suitable for various industries. Both roles involve working with data, but their focus, required background, and career paths differ significantly.
What is a Causal Inference PhD Internship?
A Causal Inference PhD Internship is a specialized research position for doctoral students focused on causal inference, which involves determining cause-and-effect relationships from data. Interns typically work with large datasets, advanced statistical models, and machine learning techniques to answer questions about how variables influence one another. These internships are often offered by tech companies, research labs, or policy organizations and provide hands-on experience in designing experiments, analyzing observational data, and developing new methodologies. The goal is to bridge academic research with real-world applications, contributing to projects that require rigorous causal analysis.
What are popular job titles related to Causal Inference Phd Internship jobs in Washington? For Causal Inference Phd Internship jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Causal Inference Phd Internship jobs in Washington look for? The top searched job categories for Causal Inference Phd Internship jobs in Washington are:
What cities in Washington are hiring for Causal Inference Phd Internship jobs? Cities in Washington with the most Causal Inference Phd Internship job openings:
2026 PhD Graduate - Statistics and Data Science
Laurel, MD • On-site
Other
Medical, Dental, Vision, Life, Retirement, PTO
Re-posted 15 days ago
Job description
Description
Qualifications
About Us
Minimum Rate
$105,000 Annually
Maximum Rate
$245,000 Annually
Do you enjoy exploring and analyzing data to find data-driven solution to complex problems?
Do you want to contribute to work that is crucial to maintaining our national security and strength?
Are you continuously searching for new ways to grow your knowledge and improve your skills?
If you are graduating with a PhD in Statistics, Physics, Mathematics, Computer Science, or a related field, we would love to have you join our team! We are seeking a new PhD graduate with expertise in statistics to support multi-disciplinary teams performing a variety of quantitative tasks for defense and national security applications. You will be joining a varied team of engineers, software developers, statisticians, data scientists, and analysts who are committed to advancing the state-of-the-art in performance evaluation of the nation's strategic weapons systems throughout their lifecycle. We believe in continually growing our capabilities and cultivating a work environment that embraces innovation, integrity, trust, and teamwork.
As a member of our team, you will...
- Work with multi-disciplinary teams to support development of data collection, processing, and analysis efforts to assess the performance of a number of systems supporting the Navy and Air Force.
- Develop and evaluate statistical models for complex defense applications, including uncertainty quantification, inference, forecasting, and decision support.
- Apply statistical reasoning for data-driven studies, selecting appropriate methods (e.g., Bayesian or frequentist approaches) based on the problem.
- Quantify and communicate uncertainty, assumptions, and limitations to support sound decision-making in complex, real-world setting.
- Use internal funding opportunities to shape the direction of future research.
- Communicate technical knowledge by articulating ideas clearly through papers and presentations to technical staff, management, and government decision makers.
Qualifications
You meet our minimum qualifications for the job if you...
- Have a PhD in Data Science, Statistics, Physics, Mathematics, Computer Science or a related field.
- Demonstrate strong interpersonal skills and the ability to work independently and on a team.
- Have strong foundations in statistical inference, probability, statistical modeling, and experimental design.
- Have experience using scientific programming tools such as Python, R, or similar languages for quantitative analysis.
- Have experience investigating and adapting modern statistical and computational methods to address emerging analysis challenges in sparse, noisy, or high-dimensional data setting.
- Demonstrate experience with statistical modeling, inference, or experimental design approaches such as Bayesian methods, regression, causal inference, or hypothesis testing...
- Are able to obtain Interim Secret level security clearance by your start date and can ultimately obtain Top Secret level clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.
You will go above and beyond our minimum requirements if you...
- Have experience in project management or leading technical teams.
- Have experience in writing technical proposals, particularly to government research projects.
- Have experience mentoring students, teaching, or communicating complex technical concepts in academic, research, or professional settings.
- Have contributed to peer-reviewed publications, technical reports, or presentations in statistics, machine learning, applied mathematics, or related fields.
- Have experience using probabilistic programming frameworks such as Stan, PyMC, or similar tools.
- Have research or professional experience developing reproducible analytical workflows, computational research tools, or statistical methodologies for complex quantitative problems.
About Us
Why Work at APL?
The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation's most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates.
At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL's campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities athttps://www.jhuapl.edu/careers.
All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law.APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contactAccessibility@jhuapl.edu.
The referenced pay range is based on JHU APL's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis.
Minimum Rate
$105,000 Annually
Maximum Rate
$245,000 Annually
About Johns Hopkins University Applied Physics Laboratory
Sourced by ZipRecruiter
Industry
Guided missile and space vehicle manufacturing
Company size
5,001 - 10,000 Employees
Headquarters location
Laurel, MD, US
Year founded
1942