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Data Associate Jobs in Wharton, NJ (NOW HIRING)

Pwc

Data Engineer - Senior Associate

Florham Park, NJ · On-site

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Bayer

Associate Dir, Full Stack Data Scientist

Whippany, NJ · On-site +1

$59K - $59K/yr

Associate Dir, Full Stack Data Scientist PURPOSE:The purpose of the Associate Director is to lead and deliver cross-functional Data Science capabilities enablement as a Full Stack Data Scientist in ...

Bayer

Associate Dir, Full Stack Data Scientist

Whippany, NJ · On-site +1

$59K - $59K/yr

Associate Dir, Full Stack Data Scientist PURPOSE: The purpose of the Associate Director is to lead and deliver cross-functional Data Science capabilities enablement as a Full Stack Data Scientist in ...

Pioneer Data

Drug Safety Associate

Parsippany, NJ · On-site

Drug Safety Associate Duration: 12 months contract, extendable up to 36 months Location: Parsippany ... You may participate in the company group medical insurance plan Safety Data Management Specialist ...

RetailData

Data Scanning Associate

Midland Park, NJ · On-site

$17 - $22/hr

The pricing intelligence pioneer, RDSolutions is hiring immediately in your area! Are you retired, want extra income, have extra time on your hands and want to stay active? Retirees are welcome and ...

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All JobsData Associate JobsData Associate Jobs in Wharton, NJ

Data Associate information

See Wharton, NJ salary details

$15

$34

$58

How much do data associate jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for data associate in Wharton, NJ is $34.45, according to ZipRecruiter salary data. Most workers in this role earn between $25.53 and $40.82 per hour, depending on experience, location, and employer.

What is the difference between Data Associate vs Data Analyst?

AspectData AssociateData Analyst
Required CredentialsBachelor's degree in related field, basic data handling skillsBachelor's or higher, often with specialized training in data analysis or statistics
Work EnvironmentData entry, data cleaning, supporting data management teamsAnalyzing data, creating reports, interpreting data trends
Employer & Industry UsageCommon in healthcare, finance, and tech companies for data support rolesUsed across industries for data-driven decision making

Data Associates focus on data entry, cleaning, and supporting data management tasks, often requiring basic technical skills. Data Analysts perform deeper analysis, interpret data, and generate insights, typically needing more advanced analytical skills. Both roles are essential in data-driven organizations but differ in complexity and responsibilities.

What is a data associate?

Data Associates are professionals who collect, manage, process, and ensure the quality of data within an organization. They often work with databases, spreadsheets, and software tools to organize and validate data, making it accessible and accurate for analysis and reporting. Data Associates may also assist with data entry, cleaning, and basic analysis tasks, supporting teams like data analysts or data scientists. Their work is crucial for maintaining reliable information that drives business decisions.

What are the key skills and qualifications needed to thrive as a data associate?

To thrive as a Data Associate, you need strong analytical skills, attention to detail, and a solid foundation in data management or statistics, often supported by a bachelor's degree in a related field. Familiarity with data analysis tools such as Excel, SQL, and sometimes Python or data visualization software is commonly required. Excellent organization, problem-solving abilities, and effective communication help individuals stand out in this role. These skills ensure accurate data handling, reliable reporting, and clear collaboration across teams, which are critical for data-driven decision-making.

How does a data associate typically collaborate with other teams within an organization?

Data Associates frequently work alongside analysts, engineers, and business stakeholders to ensure data accuracy and accessibility. They may be responsible for gathering data from various sources, cleaning datasets, and supporting the data needs of other departments. Effective communication and teamwork are essential, as Data Associates often receive requests for reports or data updates and must coordinate with technical and non-technical colleagues to deliver actionable insights. This collaborative environment helps Data Associates learn about different business functions and can open doors for career growth.
What are the most commonly searched types of Data jobs in Wharton, NJ? The most popular types of Data jobs in Wharton, NJ are:
What cities near Wharton, NJ are hiring for Data Associate jobs? Cities near Wharton, NJ with the most Data Associate job openings:
Data Associate jobs near you

Oncology-CRA/Data Management, Analytics & Statistical Support

BriaCell Therapeutics Corp.

Newark, NJ • Remote

$80K - $120K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 days ago

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Job description

Hybrid/Remote – Travel Required
We are seeking a flexible and experienced Oncology Clinical Research Coordinator (CRC) or a newly transitioned Clinical Research Associate (CRA) to join our dynamic Clinical Operations team. This hybrid role supports oncology clinical trials and is open to candidates with experience in CROs or academic institutions, even if they lack direct sponsor experience.
In addition to clinical operations expertise, the ideal candidate will bring a strong background in data management, data analytics, and statistical interpretation, with demonstrated experience analyzing clinical trial data to support study execution, monitoring, and decision‐making.
We also welcome international clinical research professionals who are authorized to work in the United States for any employer and bring prior hands‐on experience with U.S.-based clinical research trials and data management.
Remote work flexibility is available, with the expectation that team members adhere to each site's operational policies and requirements. Strong communication skills are essential, with an emphasis on real‐time responsiveness to logistical and operational questions from sites.

Key Responsibilities
Site Monitoring

  • Conduct regular on‐site and remote monitoring visits to ensure compliance with study protocols, Good Clinical Practice (GCP), and regulatory requirements
  • Execute monitoring plans tailored to each study
  • Review case report forms (CRFs), source documentation, and data entries for accuracy, completeness, and consistency
  • Identify data discrepancies and collaborate with Data Management to ensure timely query resolution
  • Resolve site-related issues and manage investigational product logistics
  • Maintain strong relationships with site staff and provide real-time support on eligibility, protocol logistics, and operational questions
  • Deliver high-quality presentations during SQVs/SIVs


Data Management, Analytics & Statistical Support

  • Review and interpret clinical trial data to identify trends, risks, and data quality issues
  • Support data cleaning, query management, and reconciliation activities in collaboration with Data Management teams
  • Analyze enrollment trends, protocol deviations, and site performance metrics
  • Apply basic statistical concepts to interpret trial data and support operational decision-making
  • Contribute to development of data tracking tools, dashboards, and performance reports
  • Ensure accuracy and completeness of data within EDC and other clinical systems (CTMS, IRT)
  • Participate in cross-functional data review meetings and support data-driven study execution


Recruitment and Retention Strategies

  • Develop and implement tailored patient recruitment and retention plans using approved vendors
  • Analyze recruitment data and site performance metrics to drive strategic improvements
  • Collaborate with site staff to identify and overcome recruitment barriers
  • Track and report recruitment KPIs and provide actionable insights to the project team
  • Prioritize recruitment support and re-training for underperforming sites
  • Conduct in‐service training and apply engagement strategies to improve enrollment


Communication and Collaboration

  • Serve as the primary point of contact for study sites
  • Collaborate cross-functionally with Clinical Operations, Data Management, Biostatistics, and Regulatory teams
  • Prepare and present study progress reports, including data trends and analytics insights, to stakeholders


Training and Development

  • Train and mentor site staff on protocols, GCP, data entry expectations, and system use (EDC/CTMS)
  • Stay current with industry trends, data management practices, and evolving regulatory expectations


Qualifications

  1. Bachelor’s degree in life sciences, nursing, or related field required
  2. Clinical degree (MD, RN, PharmD, or equivalent).
  3. Experience in data management, clinical data review, and/or data analytics required
  4. Background in statistics, epidemiology, or data analysis strongly preferred
  5. Minimum 2–3 years of oncology clinical research experience (CRC or CRA)
  6. Experience in CROs or academic institutions acceptable in lieu of direct sponsor experience
  7. Strong understanding of GCP, ICH guidelines, and regulatory requirements
  8. Demonstrated ability to interpret clinical trial data and apply analytical thinking
  9. Proficiency with EDC systems, CTMS, and data tracking/reporting tools
  10. Excellent communication, presentation, and problem-solving skills
  11. Ability to respond promptly to site inquiries and logistical needs
  12. Willingness to travel regularly based on monitoring and recruitment requirements

Company Description

BriaCell Therapeutics is a clinical-stage immuno-oncology company developing novel cell-based immunotherapies for solid tumors, including metastatic breast cancer. Our mission is to advance innovative immunotherapy approaches that improve outcomes for patients with difficult-to-treat malignancies.