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2 дня назад

Data Analyst (Clinical Data)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
Poland
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR

Data Analyst (Clinical Data): Standardizing and aligning diverse clinical study data into reliable, high-quality datasets with an accent on identifying patterns, inconsistencies, and translating findings into mapping rules and validation checks. Focus on enhancing data FAIRness by improving metadata, lineage, quality controls, and proactively addressing documentation gaps.

Location: Hybrid in Warsaw, Poland, requiring office attendance 1-2 times per week.

Company

hirify.global is an IT services and staffing company helping individuals find career opportunities and grow within the IT sector.

What you will do

  • Standardise and align data across multiple clinical studies with differing legacy standards and conventions.
  • Identify patterns, inconsistencies, and structural differences, translating findings into mapping rules and documentation.
  • Enhance data FAIRness by improving metadata, lineage, definitions, and quality controls.
  • Partner with product, technical, and analytics leads to convert business questions into structured data requirements.
  • Extract, transform, and reconcile data using Python, SQL, and AWS tools for insight generation and modelling.

Requirements

  • 4+ years of experience as a Data Analyst.
  • Proficient in Python and SQL for analysis, validation, and reconciliation.
  • Familiarity with AWS-based data environments (e.g., S3, query/processing services).
  • Experience in standardizing definitions and mappings across datasets.
  • Skilled at identifying patterns and exceptions across multiple datasets.
  • Ability to create clear data visualizations and dashboards (Power BI or similar).
  • Fluent English.

Nice to have

  • Familiarity with clinical trial standards (CDISC SDTM, ADaM).
  • Experience with SAS-formatted clinical data and legacy reporting environments.
  • Understanding of clinical study conduct, data flows, and patient privacy principles.
  • Exposure to machine learning, AI, and agentic tooling, including LLM-based workflows.

Culture & Benefits

  • Opportunities for career growth through an Internal Mobility Program with diverse projects and technologies.
  • Referral Program.
  • hirify.global Club for long-term cooperation anniversaries.
  • CSR Events & team buildings fostering accountability, partnership, and expertise.
  • Cafeteria.
  • Medical Healthcare.
  • Multisport Club Card.
  • Technical and Personal training, and language courses.
  • Life insurance, bonuses for Personal Events, and a day off for volunteering for CoW employees.

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