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Clinical Data Analyst Intern Jobs in Basking Ridge, NJ

Rho Technologies

Quantitative Analyst Intern

New York, NY · On-site

$20 - $35/hr

About the role You'll work on high-impact data projects that help Rho detect, prevent, and better ... Analyze how post-sales teams respond to churn signals and identify where playbooks could improve.

City of New York

Data Analytics Grad Intern

Manhattan, NY · On-site

$20 - $30/hr

Tax Policy is seeking a highly motivated, detail-oriented individual to serve as a Data Analytics Grad Intern in the Property Tax Research and Analytics unit. Reporting to the Executive Director of ...

NYULMC

Data Analyst

New York, NY · On-site

$66K - $79K/yr

The Brooklyn Data Station at NYU Grossman School of Medicine's Department of Population Health is a resource for finding, accessing, analyzing, visualizing, and communicating clinical and community ...

RWJBarnabas Health

Data Analyst

West Orange, NJ · On-site

$68K - $97K/yr

Manage the collection, organization, analysis, and interpretation of complex clinical and operational data to support strategic and operational decision-making across the Children s Health * Leverage ...

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All JobsClinical Data Analyst Intern JobsClinical Data Analyst Intern Jobs in Basking Ridge, NJ

Clinical Data Analyst Intern information

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How much do clinical data analyst intern jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for clinical data analyst intern in Basking Ridge, NJ is $23.19, according to ZipRecruiter salary data. Most workers in this role earn between $17.84 and $25.29 per hour, depending on experience, location, and employer.

What does a clinical data analyst intern do?

A Clinical Data Analyst Intern assists in managing and analyzing clinical trial data to ensure its accuracy, integrity, and compliance with regulatory standards. They work closely with data managers, statisticians, and clinical research teams to clean, validate, and interpret data from clinical studies. Interns may also be involved in preparing reports, maintaining databases, and supporting the development of data collection tools. This role provides valuable experience in data management, clinical research, and the use of specialized software in the healthcare industry.

What are the key skills and qualifications needed to thrive as a clinical data analyst intern?

To thrive as a Clinical Data Analyst Intern, you need a solid background in statistics, data analysis, and healthcare concepts, often supported by coursework in public health, biostatistics, or related fields. Familiarity with tools like SQL, SAS, R, or Python and experience working with electronic health records (EHRs) and data visualization platforms are highly valuable. Attention to detail, strong problem-solving skills, and clear communication help you interpret complex data and collaborate with multidisciplinary teams. These abilities are essential for ensuring accurate data insights, supporting clinical decision-making, and driving improvements in healthcare outcomes.

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Clinical Data Analyst Intern jobs near you
Infographic showing various Clinical Data Analyst Intern job openings in Basking Ridge, NJ as of June 2026, with employment types broken down into 84% Full Time, 12% Part Time, 3% Contract, and 1% Nights. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $48,239 per year, or $23.2 per hour.

Quantitative Analyst Intern

Rho Technologies

New York, NY • On-site

$20 - $35/hr

Internship

Posted 17 days ago

Job description

About Us
Rho is the modern banking platform built for startups. Open accounts in minutes, issue cards, manage expenses, pay bills, and close the books - all in one connected platform backed by real human support.
About the role
You'll work on high-impact data projects that help Rho detect, prevent, and better understand customer behavior, from identifying early churn signals to mapping growth opportunities. Your work will directly support Rho's growth engineering function, the systems that power expansion, retention, and churn mitigation. The work spans designing experiments, building predictive models, extracting insights from unstructured data, and working with large, complex datasets. You'll collaborate across teams to drive workflow efficiency, improve customer retention, and influence product direction, taking full ownership of your analyses and communicating your findings clearly to technical and non-technical audiences.
Potential Projects
  • New churn leading indicators. The current set catches a lot, but not everything. Hunt for earlier, cleaner predictors of account churn and treasury drawdown. Backtest candidates against known outcomes and graduate what holds.
  • New expansion and deposit-growth signals. The upside side of the book is less built out than the churn side. What predicts an account is about to move more money onto Rho, hire, raise, or grow its treasury? Generate and test candidates.
  • Unstructured data as a new signal source. Today's entire signal universe lives in the warehouse; call transcripts are untouched. Build LLM extraction experiments to pull signals that will never appear in transaction data: a competitor mentioned on a call, product-limit frustration, expansion intent voiced directly. A different modality, genuinely additive.
  • Probabilistic modeling. Move signal scoring from hand-tuned rules toward measured weights. Model how signals interact, quantify which combinations actually matter, and cluster accounts into behavioral archetypes.
  • Graph and network signals. Map shared-investor and vendor co-occurrence structure for fundraise-contagion detection and referral clusters. Untouched today.
  • Customer health modeling. Improve how we model account health over time: how accounts move between health states, what predicts those transitions, and where intervention changes the trajectory.
  • Playbook effectiveness. Analyze how post-sales teams respond to churn signals and identify where playbooks could improve.
  • GTM workflow efficiency. Find and remove friction in how signals reach the field.
  • Product adoption. Analyze adoption patterns, identify behaviors that predict or drive adoption, and use them to make customers stickier.

You have:
  • Challenging coursework in Computer Science, Mathematics, Statistics, Data Science, or a related quantitative field
  • Project experience in statistics, ML, econometrics, or a related quantitative field
  • Proficient in Python, Comfortable with SQL
  • Willing to run a high volume of experiments and work with messy, incomplete data
  • Communicates quantitative work clearly to technical and non-technical stakeholders

Strong fit if:
  • Comfortable with ambiguity. Problems arrive underspecified.
  • Take ownership. You run your experiments end to end and do not need handholding. If something is broken or unclear, you chase it down rather than wait.
  • Question everything. You do not take a number, a signal, or an assumption at face value, including your own. You pressure-test before you trust.
  • Very fast learner. You pick up new tools, new data, and new methods quickly and independently, and you are not thrown by unfamiliar territory.
  • High attention to detail.
  • Deeply analytical. You reason from the data, quantify your claims, and can explain why something works or does not.
  • High throughput. You would rather run five experiments this week than one perfect one next month.

Hourly: $20-$35 | Start: ASAP

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