Offer summary

Qualifications:

At least 1 year of experience in AI development or machine learning., Proficiency in Python and familiarity with libraries like TensorFlow, PyTorch, or scikit-learn., Knowledge of data preprocessing and feature engineering techniques., Ability to work independently and collaboratively, with strong problem-solving and communication skills..

Key responsibilities:

Design, develop, and deploy AI models for predictive analytics.

Build and optimize machine learning models for classification, forecasting, and risk prediction.

Preprocess and clean data to enhance model accuracy.

Monitor and fine-tune model performance to improve results.

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.

Job description

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.

Required profile