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Associate Director, AI Data Scientist

Davita Inc.

Palo Alto (CA)

On-site

USD 150,000 - 200,000

Full time

4 days ago
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Job summary

A leading biopharmaceutical company seeks an Associate Director, AI Data Scientist, to drive innovative AI solutions improving clinical trial execution and digital healthcare. The role requires advanced expertise in AI technologies, strong programming skills, and substantial experience in healthcare applications.

Benefits

Medical, dental and vision insurance
Retirement savings plan
Flexible paid vacation

Qualifications

  • 7 - 10 years of experience in AI/ML in healthcare.
  • 3+ years applying AI/ML techniques to clinical research data.
  • Experience in digital healthcare tool design is a plus.

Responsibilities

  • Lead implementation of AI/ML solutions for clinical trials.
  • Collaborate with cross-functional teams to address business challenges.
  • Ensure compliance with regulatory requirements and data privacy.

Skills

Python
R
Machine Learning
Natural Language Processing
Generative AI
Stakeholder Engagement
MLOps
AWS

Education

Advanced degree (MS or PhD) in Data Science, Computer Science, Biostatistics, or related field

Job description

If you are a current Jazz employee please apply via the Internal Career site.


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.


The Associate Director, AI Data Scientist will be responsible for leading 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.

Essential Functions

  • Lead the development and implementation of AI/ML/GenAI solutions to optimize clinical trial operations, including such areas as patient recruitment, patient retention, real-time data monitoring and automated data collection system build.
  • Lead the development and implementation of GenAI applications for automated clinical trial documentation generation including such areas medical reports, clinical study reports, protocols and patient narratives.
  • Lead the development and implementation of Digital Healthcare applications for medical and scientific tools, RWE new ways of generating real data, patients' engagement.
  • Design and develop predictive models and generative AI solutions using diverse healthcare data sources, including clinical trials data, electronic health records, wearable devices, patient-reported outcomes, HEOR data, phase IV studies.
  • Collaborate with cross-functional teams including clinical operations, clinical development, data science and global medical & scientific affairs, RWE and patients working groups to tackle business challenges and bring value of AI-driven solutions.
  • Build and maintain strategic relationships with external subject matter experts, including healthcare providers, medical researchers, regulators, and AI technology partners, to ensure alignment of AI solutions and stay current with emerging technologies and methodologies in the field.
  • Ensuring 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 languages, with experience in modern ML frameworks (PyTorch, TensorFlow).
  • Demonstrated experience with generative AI technologies, including LLM architectures and frameworks.
  • Experience with natural language processing and generative AI for medical text analysis, generation, and interpretation.
  • Demonstrated ability to build relationships with stakeholders and subject matter experts.
  • Familiarity with high computer cloud-based platforms and services, in particular AWS.
  • Familiarity with code version control and MLOps deployment approaches.
  • Ability to understand healthcare challenges and adapt accordingly to the AI solutions.
  • Cross-functions high adaptability to meet cross organization goals.

Required/Preferred Education

  • Advanced degree (MS or PhD) in Data Science, Computer Science, Biostatistics, or related field
  • 7 - 10 years of related professional experience, with 3+ years of experience applying AI/ML techniques to healthcare or clinical research data.
  • Experience in healthcare/AI implementation in healthcare field is a plus.
  • Experience/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, disability status, protected veteran status, 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: https://careers.jazzpharma.com/benefits.html.
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