Clinical Business Integration Specialist
4 weeks ago
Job Summary:
We are seeking a highly skilled Clinical Business Integrator to join our team at Winning Edge. As a key member of our clinical research team, you will be responsible for partnering with clinical business stakeholders to discuss opportunities to optimize and transform using tech solutions.
Key Responsibilities:
- Partner with clinical business stakeholders to discuss opportunities to optimize and transform using tech solutions.
- Act as domain lead and represent the clinical tech team in discussions with clinical business teams.
- Be an advocate of the data science vision of the tech team to introduce breakthrough innovations and cater to efficiency gains.
- Work with Engineering team to design, develop, and maintain IT systems and applications used in clinical research and drug development.
- Collaborate with clinical researchers, site personnel, data managers, and IT teams to implement and support clinical trial management systems (CTMS), electronic data capture (EDC) systems, and other relevant technologies.
- Ensure compliance with regulatory requirements and standards (e.g., FDA, EMA, GxP, GDPR).
- Develop IT solutions to digitize the clinical trial journey from protocol development to Clinical Study Report.
- Provide technical support and troubleshooting for clinical applications.
- Analyse and optimize workflows to enhance efficiency and data integrity in clinical trials.
- Manage data integration and interoperability between different clinical and IT systems.
- Stay updated with emerging trends and technologies in the clinical and IT fields.
Requirements:
- Proven experience (9+ years) in IT roles within clinical research and drug development environments.
- Strong understanding of clinical trial phases (Preclinical, Phase I-IV) and associated regulatory requirements.
- Experience working with research/clinical datasets (including large datasets) and performing data pre-processing & feature engineering (basic level).
- Proficiency in clinical trial management systems (CTMS), electronic data capture (EDC) systems, and other relevant technologies.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration abilities.
- Experience with data standards such as CDISC, SDTM, and ADaM.
- Experience working with teams using programming languages such as Python, Java, C#, SQL or JavaScript.
- Preferred exposure to AI/ML use cases in the clinical space.
- Familiarity with cloud computing and data security principles.
Preferred Qualifications:
- Advanced degree in a related field.
- Certifications in clinical research (e.g., CCRA, CCRP).
- Experience with machine learning and artificial intelligence in clinical research.
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