What are the responsibilities and job description for the Senior Data Scientist position at OM1?
PLEASE NOTE THAT YOU MUST RESIDE IN BRAZIL TO BE CONSIDERED FOR THIS POSITION.
OM1 is on a mission to improve health outcomes by unlocking the power of data. We are a healthcare data and technology company focused on real world clinical data and outcomes, accelerating medical research and personalizing healthcare. Our quality-focused team culture and supportive management ensure growth, learning opportunities, and achievement for every employee.
We are seeking an experienced and motivated Senior Data Scientist to join our team in Brazil. The role focuses on designing, developing, and deploying state-of-the-art AI solutions tailored for the healthcare sector. The ideal candidate will bring deep expertise in machine learning, generative AI, and natural language processing, with a passion for tackling complex problems using multimodal data.
\n- Develop innovative AI solutions for healthcare applications, leveraging multimodal datasets.
- Develop foundation models using state-of-art architectures, algorithms and technology from the AI community.
- Derive performance metrics and communicate them to stake-holders.
- Generate evidence to highlight the clinical relevance and value of AI solutions.
- Collaborate with cross-functional teams in a supportive and knowledge-sharing environment.
- Lead and manage independent projects, ensuring timely delivery and high-quality outcomes.
- Efficiently handle and process large, complex datasets.
- Strong background in deep learning, machine learning, natural language processing
- Hands-on experience coding in Python and proficiency in packages such as pytorch, tensorflow, langchain, llama-index, scikit-learn, numpy, scipy, pandas, matplotlib etc.
- Experience working with large datasets using SQL
- Familiarity with both open-source and proprietary generative AI models (e.g., prompt engineering, fine tuning, retrieval-augmented generation).
- Master’s degree in a quantitative or analytical discipline (e.g., Computer Science, Data Science, Statistics, Mathematics, etc) with at least 5 years of relevant experience; OR
- Ph.D. in a related discipline with at least 3 years of relevant experience.
