At a Glance
- Tasks: Develop AI solutions to optimise clinical trials and enhance patient engagement.
- Company: Join Jazz Pharmaceuticals, a global leader in biopharma innovation.
- Benefits: Enjoy competitive pay, health insurance, flexible vacation, and career growth opportunities.
- Other info: Remote work available with a focus on diversity and inclusion.
- Why this job: Make a real difference in healthcare with cutting-edge AI technology.
- Qualifications: Advanced degree in Data Science or related field and strong programming skills required.
The predicted salary is between 80000 - 100000 £ per year.
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.
Essential Functions:
- Support 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.
- Support the development and implementation GenAI applications for automated clinical trial documentation generation including such areas medical reports, clinical study reports, protocols and patient narratives.
- Support the development and implementation of Digital Healthcare applications for medical and scientific tools, RWE new ways of generating real data, patients’ engagement.
- Support the 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.
- Ensuring compliance with regulatory requirements and data privacy standards.
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.
- Knowledge/experience with digital healthcare tools design and development.
- 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 compute cloud-based platforms and services, in particular AWS.
- Familiarity with code version control and MLOps deployment approaches.
Required/Preferred Education and Licenses:
- 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 healthcare field is a plus.
- Knowledge of digital healthcare tools design and development.
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.
Principal, AI Data Science (London) in Slough employer: Jazz Pharmaceuticals
Jazz Pharmaceuticals is an exceptional employer, offering a dynamic work culture that prioritises innovation and patient impact. Located in London, employees benefit from a collaborative environment that fosters professional growth through cutting-edge research in AI and healthcare, alongside comprehensive benefits such as flexible paid vacation and robust health insurance. Join us to be part of a mission-driven team dedicated to transforming lives through pioneering biopharmaceutical advancements.
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We think this is how you could land Principal, AI Data Science (London) in Slough
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We think you need these skills to ace Principal, AI Data Science (London) in Slough
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Jazz Pharmaceuticals. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Jazz Pharmaceuticals
✨Brush Up on Your Statistics
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✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Jazz Pharmaceuticals!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.