CertaraAI is looking to develop innovative LLM driven solutions and deliver high-quality machine learning based projects for their clients, accelerating the development of meaningful medicines.
Requirements
- Proficiency in Python, Git.
- In-depth knowledge of machine learning theory and application.
- Experience with data cleaning and experimental design.
- Experience with LLM prompt engineering, problem-solving using LLMs, and applying LLMs to real-world use cases.
- Familiar with Docker and Kubernetes.
Responsibilities
- Apply classical machine learning techniques to large clinical datasets across a variety of use cases, utilizing advanced data imputation, feature engineering, and model tuning methodologies.
- Develop useful and interpretable models, presentations, and reproducible, version-controlled workflows.
- Develop and maintain pipelines to enable efficient and effective project work.
- Develop expertise in the CertaraAI LLM platform and apply it across various software offerings to enhance efficiency and introduce new features in Certara’s products.
- Collaborate with internal software product teams at Certara to design and develop proof-of-concepts that leverage the CertaraAI LLM platform to enhance Certara’s efficiency and solve business problems.
- Use a combination of prompt engineering, scripting, retrieval augmented generation, and creativity to solve problems using the platform.
- Create feature requests for the platform based on hands-on experience and contribute to its development trajectory.
Other
- 3-5 years of experience in a data science role.
- Strong background in clinical data analysis.
- Excellent presentation skills with experience communicating complex ideas to diverse audiences.
- Master's degree or higher in a relevant field (e.g., data science, statistics).
- Experience working with large biomarker datasets.
