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Internship Causal Inference Jobs in Mount Laurel, NJ

Internship Causal Inference information

See Mount Laurel, NJ salary details

$9

$17

$23

How much do internship causal inference jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for internship causal inference in Mount Laurel, NJ is $17.14, according to ZipRecruiter salary data. Most workers in this role earn between $14.28 and $19.04 per hour, depending on experience, location, and employer.

What types of projects and team collaborations can I expect during an internship in causal inference?

As an intern in Causal Inference, you will typically work on projects focused on analyzing data to determine cause-and-effect relationships, such as assessing the impact of interventions or policy changes. You may collaborate with data scientists, statisticians, and domain experts, contributing to experimental design, data cleaning, and the application of statistical methods. Interns often participate in weekly team meetings, present findings, and receive mentorship from senior researchers. This hands-on experience provides valuable exposure to both technical skills and interdisciplinary teamwork, which are crucial for growth in quantitative research roles.

What are the key skills and qualifications needed to thrive as an internship in causal inference, and why are they important?

To thrive in an Internship Causal Inference role, you need a solid background in statistics, econometrics, and data analysis, typically supported by coursework or degrees in statistics, economics, or related quantitative fields. Familiarity with statistical programming languages such as R or Python, and experience with causal inference frameworks and tools like propensity score matching or regression discontinuity, are commonly required. Strong problem-solving abilities, attention to detail, and effective communication skills help interns interpret results and collaborate with research teams. These skills and qualities are essential to ensure rigorous and meaningful analysis that informs data-driven decisions.

What is the difference between Internship Causal Inference vs Data Analyst?

AspectInternship Causal InferenceData Analyst
Required CredentialsUndergraduate or graduate in statistics, economics, or related fieldsDegree in statistics, data science, or related fields
Work EnvironmentResearch-focused, often in academia or research institutionsBusiness, corporate, or consulting settings
Employer & Industry UsageUniversities, research labs, tech companiesFinance, marketing, healthcare, tech companies
Comparison Search IntentUnderstanding causal inference techniques during internshipsAnalyzing data to inform business decisions

Internship Causal Inference roles focus on applying statistical methods to identify cause-effect relationships, often in research settings. Data Analyst roles involve interpreting data to support business strategies. While both require analytical skills, causal inference internships emphasize research and advanced statistical techniques, whereas data analyst positions focus on data processing and reporting.

What is an internship in causal inference?

An Internship in Causal Inference is a temporary position, typically for students or early-career professionals, that focuses on learning and applying methods to determine cause-and-effect relationships in data. Interns in this field work with statistical models, experimental designs, and software tools to analyze data and infer causal relationships, often in fields like economics, public health, or data science. These internships provide hands-on experience with real-world datasets, mentorship from experienced researchers, and opportunities to contribute to ongoing projects. Participants gain valuable skills in programming, statistical analysis, and research methodology, which are highly sought after in both academia and industry.
What are the most commonly searched types of Causal Inference jobs in Mount Laurel, NJ? The most popular types of Causal Inference jobs in Mount Laurel, NJ are:
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Senior Biostatistician

Madrigal Pharmaceuticals

Conshohocken, PA • Hybrid

$150K - $182K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 days ago


Job description

Madrigal is a biopharmaceutical company focused on delivering novel therapeutics for metabolic dysfunction-associated steatohepatitis (MASH), a serious liver disease that can progress to cirrhosis, liver failure, need for liver transplantation and premature mortality. Every member of our Madrigal team is connected by our shared purpose: leading the fight against MASH.

Madrigal's medication, Rezdiffra (resmetirom), is a once-daily, oral, liver-directed THR- agonist designed to target key underlying causes of MASH. Rezdiffra is the first and only medication approved by both the FDA and European Commission for the treatment of MASH with moderate to advanced fibrosis (F2 to F3). An ongoing Phase 3 outcomes trial is evaluating Rezdiffra for the treatment of compensated MASH cirrhosis (F4c).

Our success is driven by our people. We are building a dynamic, inclusive, and high-performing culture that values scientific excellence, operational rigor, and collaboration. To support our continued growth, we are strengthening our workforce strategy to ensure we have the right talent, at the right time, in the right way.

Madrigal Pharmaceuticals is a biopharmaceutical company delivering novel therapeutics for metabolic dysfunction-associated steatohepatitis (MASH), a serious liver disease that can progress to cirrhosis, liver failure, and premature mortality. Our medication, Rezdiffra (resmetirom), is a once-daily, oral, liver-directed THR- agonist designed to target F2/F3 MASH.

The Senior Biostatistician is an individual contributor working across biostatistics, translational development, and data science. The role supports biostatistical activities in clinical development - with a focus on early development (Phase IIa) and in causal inference using real-world data - and contributes to biomarker development, statistical modeling, and analysis of high-dimensional data. Title and scope are commensurate with experience. Reports to the VP of Biostatistics.

Responsibilities

  • Develop and apply statistical and machine-learning models to high-dimensional data to support biomarker strategy and clinical evidence generation.
  • Work with multi-omic profiling, PK/PD biomarkers, and biobank- or EHR-linked genomic data
  • Ability to apply human genetics methods (e.g., GWAS, polygenic risk scores, sequencing) to inform translational strategy is a plus.
  • Generate real-world evidence from observational data and apply causal-inference methods to draw robust conclusions from non-randomized studies.
  • Support the design and analysis of clinical trials and real-world data (claims, EHR, registries); contribute to protocols and Statistical Analysis Plans.
  • Partner across translational science, early clinical research, Real-World Evidence generation, and contribute to publications and conferences.

Qualifications

  • Ph.D. in (Bio)statistics, Statistics, Data Science, or a related quantitative field, with at least 2 years of relevant experience (or equivalent internship, co-op, or postdoctoral research). Ideal candidates will have between 3-5 years of relevant work experience. Level may be commensurate with experience.
  • Proficiency in R and SAS, with working knowledge of Python and machine-learning libraries (scikit-learn, PyTorch, TensorFlow).
  • Building data pipelines that transform high-dimensional and real-world datasets into analysis-ready form.
  • Ability to communicate complex analyses to non-statisticians and influence decisions across scientific and clinical teams.
  • Experience with real-world data sources and knowledge of regulatory guidelines a plus.
  • Familiarity with multi-omic and PK/PD biomarker data and with biobank- or EHR-linked genomic datasets a plus.

Location

This is a hybrid role based in Conshohocken, PA - three days per week in the office and two days remote. Some travel may be required (< 10%).

Madrigal's Total Rewards strategy is based on a biotech industry peer group comparator and is inclusive of base pay, bonus and equity. Our equity offers meaningful opportunity allowing our employees to share in the success they help create. By aligning individual and company performance, we empower employees to think like owners, giving them a stake in the organization.

All employees receive equity, which we believe reinforces our ownership culture. Base salary is determined by several factors including the candidate's qualifications, skills, education, experience, business needs and market demands. As of the date of this posting, a good faith estimate of the current pay scale for this position, applicable to all candidates, is $150,000 - $182,500 per year. We comply with all applicable minimum wage laws.

All full-time employees receive equity, which reinforces our ownership culture and offers meaningful opportunity for our employees to share in the success they help create. By aligning individual and company performance, we empower employees to think like owners, giving them a stake in the organization.

Full-time employees are also eligible for comprehensive benefits, including flexible paid time off, medical, dental, vision and life/disability insurance, and 401(k) offerings (i.e., traditional, Roth, and employer match) in accordance with applicable plans. We also offer additional voluntary benefits like supplemental life insurance, legal services, and other offerings. In addition, we offer mental health benefits through our Employee Assistance Program for employees and their family. The company also provides other benefits in accordance with applicable federal, state, and local laws.

We are committed to providing reasonable accommodations for individuals with disabilities throughout the hiring process. If you need assistance, please contact HR@madrigalpharma.com.

Madrigal is an Equal Opportunity Employer. All employment is decided on the basis of qualifications, merit, and business need. Applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex gender identity, sexual orientation, national origin, age, disability, protected veteran or disabled status, or other characteristic protected by applicable federal, state, or local law.

Unsolicited resumes from agencies should not be forwarded to Madrigal. Madrigal will not be responsible for any fees arising from the use of resumes through this source. Madrigal will only pay a fee to agencies if a formal agreement between Madrigal and the agency has been established.

Applications are being accepted on an ongoing basis and can be submitted through our Madrigal Careers site.

Please be aware that we have received reports of individuals misrepresenting themselves as Madrigal Pharmaceuticals' Hiring Managers, seeking to engage with job candidates through fraudulent online advertisements or job posting sites. These unauthorized individuals are using Madrigal's name and logo in an attempt to solicit up-front fees and obtain personal information from interested job candidates. Please know that Madrigal does not conduct interviews via text or in chat rooms; conduct interviews via Skype, RingCentral or solely via telephone; charge candidates an advance fee of any kind (e.g., fees for purchasing equipment); nor does it offer positions of employment without undergoing a thorough recruiting process.

Please also note that any correspondence with regard to employment would come from an authorized madrigalpharma.com email address or from an email address from one of our trusted search firm partners. We are aware that incorrect/fraudulent email addresses, with Madrigal misspelled, have been utilized in these most recent fraud attempts. If you receive unsolicited employment offers from people claiming to work for or on behalf of Madrigal, we recommend that you: do not respond to their questions; do not open any attachments; and do not click on any hyperlinks. Any questions regarding the legitimacy of job-related contacts can be directed to HR@madrigalpharma.com.