Job Description
Who you are:
This role involves working with our partners in different Therapeutic areas (e.g., Oncology, Vaccines, Chronic Care, etc) and Domain areas (Market Access, pricing, etc.) across the organization to help create scalable and production-grade analytics solutions, ranging from data visualization and reporting, to advanced statistical and AI/ML models.
- Expertise in statistical and machine learning techniques for NLP, including deep learning approaches such as Transformers and BERT
- Experience in Gen AI application development
- Experience in RAG and Agentic frameworks
- Strong programming skills in Python and experience with relevant libraries (e.g., spaCy, NLTK, Transformers, PyTorch)
- Experience with cloud-based platforms (e.g., AWS, GCP, Azure)
- Knowledge of data engineering concepts (e.g., ETL pipelines, SQL)
- Experience with data analysis and visualization tools (e.g., pandas, Tableau)
- Excellent written and verbal communication skills
- Strong attention to detail and ability to work in a fast-paced environment.
- Model development and deployment will occur in the cloud (AWS), and we’ll look for the appropriate experience.
- You need to be able to demonstrate aptitude, willingness to execute, and an ability to problem solve independently.
- This role will require interfacing with executive and business stakeholders, so strong communication skills is a must.
- You understand the foundations of statistics and machine learning and can work in high performance computing/cloud environments, with experience in some aspects across statistical analysis, machine learning, model management, data engineering, data visualization, and data interpretation
- You structure your data science approach according to the necessary task, while appropriately applying the correct level of model complexity to the problem at hand
- Experience with real world data (e.g., claims, electronic health records) is a plus
- Experience within any of the therapeutic areas like oncology is a plus
Education Requirements:
· Required: Bachelors degree with at least 8+ years industry experience
· Preferred: Advanced degree (MS, PhD) in a quantitative science or health field (e.g., computational biology, epidemiology, biostatistics, statistics, mathematics, physics, economics)
Current Contingent Workers apply
Not Applicable
Applied Machine Learning, Cloud Applications, Cloud Computing, Data Engineering, Design Applications, Information Security, Machine Learning, Machine Learning Algorithms, Machine Learning Techniques, Software Development, Software Development Life Cycle (SDLC), System Designs, Systems Integration, Testing
*A job posting is effective until 11:59:59PM on the dayBEFOREthe listed job posting end date. Please ensure you apply to a job posting no later than the dayBEFOREthe job posting end date.
A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.