Data Scientist – NLP/GenAI
Lifelancer
Job DescriptionAre you a data scientist with experience in natural language processing, machine learning, and advanced analytics, and looking to apply your expertise in a collaborative and intellectually stimulating environment? Are you passionate about the future of healthcare?Our enterprise-wide data science, data engineering and product team is looking for a data scientist with experience in natural language processing and a passion for addressing business needs through data analysis and solutions. You will work on a highly collaborative, centralized team of data scientists, engineers, and strategists to deliver analytical insights and data products that drive value and impact for our highest priority business needs. Youll work side-by-side with internal partners across development, clinical, commercial, and general and administrative areas to develop creative NLP solutions that contribute meaningfully to our business and patients.Key Duties and Responsibilities:
Collaborate with a centralized team of data scientists/engineers/strategists and cross-functional partners to conceptualize and deploy data science solutions for business problems using NLP (including but not limited to large language models), and to design and execute A/B tests to quantify the value of these solutionsBuild and deliver compelling data visualizations and outputs to communicate findings to technical collaborators, non-technical audiences, and business leadersParticipate in the broader data science community to stay current with methodology, software, and data development and availabilityBring an entrepreneurial and ethical mindset, openness, transparency, and collegiality to your workMinimum Qualifications:
Preferred Qualifications:
Lifelancer ( ) is a talent-hiring platform in Life Sciences, Pharma and IT. The platform connects talent with opportunities in pharma, biotech, health sciences, healthtech, data science and IT domains.Please use the below Lifelancer link for job application and quicker response.
London
Sun, 04 Aug 2024 22:23:10 GMT
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