Data Scientist with Real-World Evidence Expertise
vor 1 Monat
Luminary Group is currently partnering with a world-leading life science company to fill the role of a Senior Machine Learning Engineer with expertise in Real-World Evidence (RWE). This position involves developing and implementing cutting-edge machine learning models and algorithms to analyze RWE data, extracting valuable insights for the healthcare industry.
Responsibilities:- We are seeking an experienced Senior Machine Learning Engineer to design, develop, and deploy machine learning models and algorithms that analyze complex RWE datasets.
- The ideal candidate will collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
- They will preprocess and clean large-scale RWE data to ensure quality and integrity.
- The chosen individual will evaluate and select appropriate machine learning techniques, tools, and frameworks for specific use cases.
- They will train, fine-tune, and validate machine learning models using state-of-the-art methodologies and techniques.
- The Senior Machine Learning Engineer will optimize machine learning models for scalability, performance, and accuracy.
- They will monitor and maintain deployed machine learning models, ensuring their ongoing performance and relevance.
- Staying up-to-date with the latest trends and advancements in machine learning and real-world evidence is crucial for this role.
- A Bachelor's degree in computer science, data science, or a related field; an advanced degree is preferred.
- Minimum 4 years of experience in machine learning engineering or data science, with a focus on healthcare and real-world evidence (RWE).
- Strong knowledge of machine learning algorithms, statistical modeling, and data mining techniques.
- Proficiency in programming languages such as Python or R for data preprocessing, analysis, and model implementation.
- Experience with machine learning libraries and frameworks, such as TensorFlow, PyTorch, or scikit-learn.
- Solid understanding of database systems and SQL for data manipulation and querying.
- Experience with big data technologies and distributed computing frameworks is a plus.
- Strong problem-solving and analytical skills, with the ability to find creative solutions to complex problems.
- Excellent communication and collaboration skills, with the ability to work effectively in a team environment.
- Experience in the healthcare industry and familiarity with healthcare data standards is preferred.
$140,000 - $170,000 per year, depending on location and experience.
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