Key Responsibilities:
- 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.
Qualifications:
- 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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What We Do
Customized intelligence reports and SaaS solutions - We provide healthcare and life sciences experts accurate, rapid, expertly-curated information to enable strategic decision-making. Our products include KOL monitoring, real-time high-impact news, intuitive cancer biomarker database and comprehensive conference planners. To keep you at the forefront of clinical and industry developments, LARVOL curates pharmaceutical and biotech competitive intelligence using a proven combination of broad therapeutic-area expertise and technological innovation. Our team of MDs and PhDs collates data from over 25,000 sources and distills the most relevant findings into concise reports that provide real-time insights and time-saving analysis. Our global team is comprised of professionals with expertise in all major therapeutic areas, with a special focus on oncology, inflammation, cardiovascular, and CNS. We are a valued partner to numerous Fortune 500 companies as well as small and mid-size pharma and biotech enterprises.
