LARVOL
LARVOL is a company that provides expertly-curated oncology data intelligence services. They assist top pharmaceutical companies by delivering comprehensive reports on Key Opinion Leader (KOL) activities, market intelligence, conference planning, and detailed cancer trial results. Their platform aggregates data from various sources, including clinical trials, social media, and conferences, to provide critical insights for strategic planning. LARVOL's services cater to those seeking in-depth analysis and well-organized information about oncology developments, and their products are recognized and highly valued by major pharmaceutical figures.
Financial analyst monitoring • Scientific Conferences • life sciences • medical conferences • healthcare
AI Developer - Predictive Modeling
February 26
LARVOL
LARVOL is a company that provides expertly-curated oncology data intelligence services. They assist top pharmaceutical companies by delivering comprehensive reports on Key Opinion Leader (KOL) activities, market intelligence, conference planning, and detailed cancer trial results. Their platform aggregates data from various sources, including clinical trials, social media, and conferences, to provide critical insights for strategic planning. LARVOL's services cater to those seeking in-depth analysis and well-organized information about oncology developments, and their products are recognized and highly valued by major pharmaceutical figures.
Financial analyst monitoring • Scientific Conferences • life sciences • medical conferences • healthcare
📋 Description
• Design, develop, and deploy AI models for predictive analytics. • Build and optimize machine learning models for tasks like classification, forecasting, and risk prediction. • Preprocess and clean data to improve model accuracy and efficiency. • Experiment with different feature engineering techniques to enhance predictions. • Monitor model performance and fine-tune parameters to improve results.
🎯 Requirements
• 1+ years of experience in AI development or machine learning. • Proficiency in Python and experience with machine learning libraries such as TensorFlow, PyTorch, or scikit-learn. • Familiarity with data preprocessing and feature engineering. • Ability to work independently and in a team environment. • Good problem-solving and analytical skills. • Strong communication skills to explain AI concepts to non-technical stakeholders.
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