onsite
Lead Data Scientist - J&J Family of Companies
Data Scientist
Lead a multidisciplinary data science team to develop predictive models and AI solutions for healthcare, leveraging Python, machine learning, deep learning, statistical analysis, and cloud platforms.
About the role
Key Responsibilities
- Define and execute the data science strategy to support product innovation and clinical decision support.
- Lead a team of data scientists and analysts in building, validating, and deploying machine learning and deep learning models.
- Collaborate with cross‑functional stakeholders—including product, engineering, and clinical teams—to translate business problems into data‑driven solutions.
- Design and implement scalable data pipelines and analytics workflows on cloud platforms such as AWS.
- Ensure rigorous model evaluation, monitoring, and compliance with regulatory standards.
Requirements
- Advanced degree (Ph.D. or Master’s) in Computer Science, Statistics, Biomedical Engineering, or a related field.
- 5+ years of hands‑on experience in machine learning, deep learning, and statistical modeling, preferably in healthcare or life sciences.
- Proficiency in Python and SQL, with experience using libraries such as scikit‑learn, TensorFlow/PyTorch, and data‑engineering tools.
- Demonstrated ability to lead technical teams and deliver production‑grade AI solutions on AWS or similar cloud environments.
- Strong communication skills to convey complex analytical concepts to non‑technical audiences.
Skills
pythonmachine learningdeep learningsqlaws