- Company: New Zealand Clinical Research
- Location: Penrose, Auckland, New Zealand
- Salary: Pay not listed
New Zealand Clinical Research at a glance
SEC filings mentioning "New Zealand Clinical Research": 15 — search EDGAR
Data Specialist - New Zealand Clinical Research - Penrose, Auckland, New Zealand
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
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Explore New Zealand Clinical Research online
Working in Penrose, Auckland, New Zealand
Weather right now in Penrose, Auckland, New Zealand: checking… · Local time: · Air quality: · Daylight: · UV index: · Wind: · Pollen:
Penrose sits in Auckland’s industrial east, handy to Station Road and the Maungakiekie-Tāmaki area. Auckland is New Zealand’s largest metro on the North Island, with roughly 1.5 million urban residents and a wider region of about 1.8 million (June 2025). Expect a busy commercial precinct rather than a CBD campus feel; this role is on-site, not remote.
Auckland is a large metropolitan city in the North Island of New Zealand. It has an urban population of about 1,547,200. It is located in the greater Auckland Region, the area governed by Auckland Council, which includes outlying rural areas and the islands of the Hauraki Gulf, and which has a total population of 1,816,000 as of June 2025. It is the most populous city of New Zealand and the fifth-
Recent seismic activity: 2 earthquakes (M4.5+) within 200km in the last 6 months — largest M4.7 near 100 km ENE of Pauanui, New Zealand. via USGS
- Elevation 26m (85 ft)
Source: Wikipedia (state)
About this role & career path
O*NET maps related work under Data Entry / statistical data roles (SOC 15-2041.00). Core work includes validating methods, preparing data for processing, interpreting results, and communicating findings. See O*NET summary 15-2041.00 for task detail.
Traits that fit this role
- Achievement Orientation
- Intellectual Curiosity
- Cautiousness
- Integrity
- Attention to Detail
Source: O*NET Work Styles (Distinctiveness Rank).
Typical preparation needed: Job Zone 5: Extensive Preparation Needed. Most of these occupations require graduate school -- for example, a master's degree, and some require a Ph.D., M.D., or J.D. — via O*NET
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Source: O*NET (public-domain bulk data)
Salary & compensation
Workers in Computer & Mathematical occupations earn a national median of $98,769 — via US Census ACS / Data USA
Build the skills for this role
- Data cleaning, QC, and audit trails
- Basic-to-intermediate stats and method choice
- Tables, charts, and clear reporting
- Clinical/research data hygiene and consistency
- 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
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.
Job details above are provided by the employer/source. The sections on this page are compiled from public data sources with AI assistance.
Accommodations: if you need a workplace accommodation to apply for or perform this job, see ADA.gov or EEOC.gov for guidance on your rights and how to request one.
Listing facts
- Role Data Specialist
- Employer New Zealand Clinical Research
- Location Penrose, Auckland, New Zealand
- Type Full Time
- Pay (from listing) Pay not listed
- Posted July 23, 2026
- Apply by August 22, 2026
- Overview Full job description on this page (258 words)
Facts above come from this job record on Get A Job.AI — not copied from third-party review sites.
Typical work in Data Entry Specialist
Independent occupational context from O*NET (U.S. public-domain labor data). This is about the occupation, not a rewrite of this employer's posting.
- 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.
Explore related openings
Occupation family: Data Entry Specialist
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