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Principal AI Data Scientist - The City
£27,000 - 90,000
Jazz Pharmaceuticals
Wardour Street 80-82, The City
£27,000 - 90,000
Requirements
Must:
- Advanced degree (MS or PhD) in Data Science, Computer Science, Biostatistics, or a related field.
- 3 – 5 years of related professional experience, with at least 1 year of experience applying AI/ML techniques to healthcare or clinical research data.
- Strong programming skills in Python, R, or similar languages, with experience in modern ML frameworks (PyTorch, TensorFlow).
- Demonstrated experience with generative AI technologies, including LLM architectures and frameworks.
- Knowledge/experience with digital healthcare tools design and development.
- Experience with natural language processing and generative AI for medical text analysis, generation, and interpretation.
- Familiarity with high compute cloud-based platforms and services, particularly AWS.
- Familiarity with code version control and MLOps deployment approaches.
- Ability to understand healthcare challenges and adapt AI solutions accordingly.
- Strong relationship-building skills with stakeholders and subject matter experts.
- High adaptability to meet cross-organizational goals.
Responsibilities
- Support the development and implementation of AI/ML/GenAI solutions to optimize clinical trial operations, including patient recruitment, retention, real-time data monitoring, and automated data collection systems.
- Assist in the creation of GenAI applications for automated clinical trial documentation generation, including medical reports, clinical study reports, protocols, and patient narratives.
- Contribute to the development of Digital Healthcare applications for medical and scientific tools and innovative ways to engage patients through Real-World Evidence (RWE).
- Design and develop predictive models and generative AI solutions using diverse healthcare data sources such as clinical trials data, electronic health records, wearable devices, patient-reported outcomes, HEOR data, and phase IV studies.
- Collaborate with cross-functional teams, including clinical operations, clinical development, data science, and global medical & scientific affairs, to address business challenges and add value through AI-driven solutions.
- Ensure compliance with regulatory requirements and data privacy standards.
- Facilitate knowledge sharing and collaboration within Jazz Data Science and across Jazz Research and Development.
Description
We are Jazz Pharmaceuticals, a global biopharma company driven by the purpose of innovating to transform the lives of patients and their families. Our commitment lies in developing life-changing medicines for serious diseases, particularly when there are limited or no therapeutic options. Our diverse portfolio includes leading therapies for sleep disorders, epilepsy, and a growing range of cancer treatments. We pride ourselves on our patient-focused, science-driven approach that powers innovative research and development across our pipeline in oncology and neuroscience. With our headquarters in Dublin, Ireland, we operate research and development laboratories and manufacturing facilities across multiple countries, all dedicated to serving patients worldwide. At Jazz Pharmaceuticals, we are an equal opportunity/affirmative action employer. We ensure that all qualified applicants receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in a variety of benefits offerings, including medical, dental, vision insurance, retirement savings plans, and flexible paid vacation.
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The company with most openings is DataAnnotation as they are hiring for 46 different Data Engineer jobs in the UK. They are probably quite committed to find good Data Engineers.
The company with most openings is DataAnnotation as they are hiring for 46 different Data Engineer jobs in the UK. They are probably quite committed to find good Data Engineers.