Interview kit: Data Specialist at New Zealand Clinical Research

How to use this kit

Ground every answer in facts on this page and the original listing. We never invent Glassdoor-style reviews or salaries that are not in our data.

Interview prep

Walk through how you catch and fix data errors before analysis
Explain when a statistical method is (or isn’t) appropriate for a research question
Show a sample of how you present results to non-stats stakeholders
Discuss on-site collaboration with study or ops teams in a research setting

Fit summary

Strong fit if you enjoy meticulous data prep and analysis in a clinical research context, prefer structured on-site work in Penrose/Auckland, and can turn messy inputs into defensible, report-ready outputs. Thin public company intel means culture and level should be confirmed in the process.

Day in the role

As a Data Specialist at New Zealand Clinical Research in Penrose, a typical day centres on preparing and checking research datasets: organising raw inputs, flagging inaccuracies, and weighting or adjusting data before analysis. You may assess whether statistical methods fit the study questions, run analyses that highlight meaningful patterns, and package findings as tables, charts, or short reports for study teams. Accuracy and audit-ready documentation matter as much as speed.

Skills to emphasize

Data cleaning, QC, and audit trails
Basic-to-intermediate stats and method choice
Tables, charts, and clear reporting
Clinical/research data hygiene and consistency

FAQ from this listing

Is this role remote?

No — the listing is on-site in Penrose, Auckland City.

What kind of work does “Data Specialist” imply here?

Tasks aligned with statistical data work: prepare and validate data, choose suitable methods, analyse, and report results clearly.

Where can I read formal task language for this occupation family?

O*NET’s summary for SOC 15-2041.00 at onetonline.org lists related tasks and skills.

Occupation tasks (O*NET)

Public-domain labor data — prepare examples for 2–3 of these.

Analyze and interpret statistical data to identify significant differences in relationships among sources of information.
Evaluate the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy.
Report results of statistical analyses, including information in the form of graphs, charts, and tables.
Determine whether statistical methods are appropriate, based on user needs or research questions of interest.
Prepare data for processing by organizing information, checking for inaccuracies, and adjusting and weighting the raw data.
Develop and test experimental designs, sampling techniques, and analytical methods.
Identify relationships and trends in data, as well as any factors that could affect the results of research.
Present statistical and nonstatistical results, using charts, bullets, and graphs, in meetings or conferences to audiences such as clients, peers, and students.

O*NET source

Role overview (listing rewrite)

Data Specialist - New Zealand Clinical Research - Penrose, Auckland City What This Role Involves The Data Specialist will play a critical role in ensuring the accuracy and integrity of data collected from clinical trials. Responsibilities include managing databases, conducting data validation, preparing reports, and collaborating with cross-functional teams to ensure compliance with regulatory standards. What You'll Do Manage and maintain clinical trial databases using industry-standard software tools. Conduct thorough data validation and cleaning to ensure accuracy and completeness of data. Create and distribute regular reports on data trends, findings, and issues to stakeholders. Collaborate with project teams to identify and resolve data-related challenges during clinical trials. Ensure adherence to regulatory requirements and best practices in data management. Requirements A degree in Biostatistics, Data Science, or a related field is required. At least 3 years of experience in clinical research with a focus on data management. Familiarity with statistical software and database management systems (e.g., SAS, SQL). Strong attention to detail and ability to work accurately under pressure. Excellent communication skills for working across multiple departments. About New Zealand Clinical Research New Zealand Clinical Research was established in 2020 through the merger of Auckland Clinical Studies (ACS) and Christchurch Clinical Studies Trust (CCST). With over 35 years of combined research excellence, NZCR has successfully completed 750 trials involving 15,000 participants. Our mission is to advance medical knowledge and improve patient outcomes by leading in early-phase clinical research. How to Apply To apply, complete your application directly on this page, or you'll be redirected to the employer's application platform to finish submitting there.

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Questions to ask them

What does success look like in the first 90 days for this role?
How is the team structured, and who would I work with most?
What tools and systems does this role use daily?
Is the work primarily based in Penrose, Auckland City, hybrid, or fully remote?