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Чёткие инженерные задачи, переход на Python и работа с клиническими данными в регулируемой сфере делают вакансию сильной возможностью, но удалённая работа доступна только в США.
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Клинические исследования
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Clinical Data Programmer (Python) (Clinical Trials/Regulated Data): Developing scalable Python applications, reusable packages, and automation frameworks for clinical data processing and trial deliverables with an accent on SAS-to-Python modernization, metadata-driven transformation, and CDISC SDTM datasets. Focus on designing maintainable data workflows, validating ingestion and reconciliation processes, and establishing coding and quality standards for regulated clinical programming.
Location: Remote within the United States
Company
hirify.global, part of Thermo Fisher Scientific, develops regulated technology and software platforms for clinical trials, diagnostics, and medical decision-making.
What you will do
Design, develop, and maintain Python applications, reusable packages, and automation frameworks for clinical data processing and transformation.
Modernize SAS-based programming workflows with scalable, maintainable Python solutions.
Build metadata-driven and configuration-driven automation for data ingestion, transformation, validation, reconciliation, and reporting.
Develop and validate data transformation processes for clinical trial deliverables, including datasets aligned with CDISC SDTM standards.
Establish Python coding standards, development practices, version control, and quality assurance approaches.
Collaborate with programming teams across global locations and support adoption of Python-based solutions.
Requirements
Bachelor’s degree in Computer Science, Life Sciences, or a related field, or equivalent practical experience.
At least 3 years of professional Python programming experience developing production-quality applications and reusable software components.
Strong proficiency in Python, object-oriented programming, data processing, and automation, including pandas and NumPy.
Experience designing maintainable software solutions, working with complex datasets, and using Git-based version control.
Analytical and problem-solving skills, including the ability to understand existing workflows and develop practical technical solutions.
Strong written and verbal English communication skills and effective collaboration within distributed technical teams.
Ability to work remotely within the United States.
Nice to have
Familiarity with SAS programming, SAS-to-Python migration, or statistical data processing.
Experience in pharmaceutical, clinical research, CRO, or other regulated data environments, including familiarity with CDISC SDTM standards.
Culture & Benefits
Full-time employment with remote work flexibility within the United States.
Health, dental, and vision coverage.
401(k) retirement plan with company match.
Paid time off, company holidays, wellness programs, and an Employee Assistance Program.
Inclusive workplace committed to equal employment opportunity and diversity.
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