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Principal, AI Data Scientist (Remote)
ZipRecruiter
City Of London
À distance
GBP 70 000 - 90 000
Plein temps
Hier
Soyez parmi les premiers à postuler

Résumé du poste

A global biopharma company is seeking a Principal, AI Data Scientist to implement innovative AI/ML solutions for clinical trials and digital healthcare. The role requires strong programming skills in Python or R, experience in generative AI, and an advanced degree in a relevant field. Candidates should have a minimum of 3-5 years of experience, with 1+ year focused on healthcare applications. This position offers various benefits including medical and flexible vacation.

Prestations

Medical insurance
Dental insurance
Vision insurance
Retirement savings plan
Flexible paid vacation

Qualifications

  • 3 - 5 years of related professional experience in AI/ML.
  • 1+ years of experience applying AI/ML techniques to healthcare or clinical research data.

Responsabilités

  • Support AI/ML/GenAI solution implementation for clinical trials.
  • Develop applications for automated clinical trial documentation.
  • Design predictive models using diverse healthcare data.

Connaissances

Python
R
Machine Learning
Natural Language Processing
Generative AI
AWS

Formation

Advanced degree (MS or PhD) in Data Science, Computer Science, Biostatistics, or related field
Description du poste
Overview

Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases — often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit www.jazzpharmaceuticals.com for more information.

Brief Description

The Principal, AI Data Scientist will be responsible for supporting the implementation of innovative, complex and transformative AI/ML/GenAI solutions across the areas of Clinical Trial Execution and Digital Healthcare across Jazz Research and Development.

Responsibilities
  • Support the development and implementation of AI/ML/GenAI solutions to optimize clinical trial operations, including areas such as patient recruitment, patient retention, real-time data monitoring and automated data collection system build.
  • Support the development and implementation of GenAI applications for automated clinical trial documentation including medical reports, clinical study reports, protocols and patient narratives.
  • Support the development and implementation of Digital Healthcare applications for medical and scientific tools, real-world evidence (RWE) generation and patient engagement.
  • Support the design and development of predictive models and generative AI solutions using diverse healthcare data sources, including clinical trials data, electronic health records, wearable devices, patient-reported outcomes, health economics and outcomes research (HEOR) data, and phase IV studies.
  • Collaborate with cross-functional teams including clinical operations, clinical development, data science and global medical & scientific affairs, RWE and patient groups to tackle business challenges and bring value of AI-driven solutions.
  • Ensure compliance with regulatory requirements and data privacy standards.
  • Facilitate knowledge sharing and exchange within Jazz Data Science and across Jazz Research and Development.
Required Knowledge, Skills and Abilities
  • Strong programming skills in Python, R, or similar, 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 and interpretation.
  • Demonstrated ability to build relationships with stakeholders and subject matter experts.
  • Familiarity with high compute cloud-based platforms and services, in particular AWS.
  • Familiarity with code version control and MLOps deployment approaches.
  • Ability to understand healthcare challenges and adapt AI solutions accordingly.
  • Cross-functional adaptability to meet cross-organization goals.
Required Education
  • Advanced degree (MS or PhD) in Data Science, Computer Science, Biostatistics, or related field.
  • 3 – 5 years of related professional experience, with 1+ years of experience applying AI/ML techniques to healthcare or clinical research data.
  • Experience in healthcare/AI implementation in the healthcare field is a plus.
  • Knowledge in digital healthcare tools design and development.
Description of Physical Demands
  • Occasional mobility within office environment
  • Routinely sitting for extended periods of time
  • Constantly operating a computer, printer, telephone and other similar office machinery

Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, veteran status, disability, or any characteristic protected by law.

The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: jazzpharma benefits page.

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* Le salaire de référence se base sur les salaires cibles des leaders du marché dans leurs secteurs correspondants. Il vise à servir de guide pour aider les membres Premium à évaluer les postes vacants et contribuer aux négociations salariales. Le salaire de référence n’est pas fourni directement par l’entreprise et peut pourrait être beaucoup plus élevé ou plus bas.

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