Remotely
pythonrawsnlpcloud computinghigh performance computingdatastreamlitr shiny
Job Description
📋 Description
- Lead data science initiatives that support clinical drug development, with a focus on predictive
- Process, integrate, and analyze high-dimensional multimodal datasets, including clinical, imaging
- Develop sophisticated predictive models using machine learning, deep learning, natural language
- Design, build, deploy, and support scalable data engineering and data science platforms for
- Develop analysis pipelines for complex datasets such as genomics and imaging using cloud
- Build and deploy interactive web-based interfaces for statistical models, visual analytics, and
🎯 Requirements
- Minimum of 6 years of relevant professional experience in data science, data engineering
- Master’s degree required; Ph.D. preferred, particularly in Engineering, Computer Science, or a
- Strong programming experience with at least two languages or technologies such as R, Python, and
- Proven experience developing, deploying, and supporting data engineering and data science platforms.
- Hands-on experience working with unstructured and high-dimensional data, including text, imaging
- Strong knowledge of machine learning, deep learning, NLP, predictive modeling, or other advanced
🎁 Benefits
- Competitive Compensation: Annual base salary range of $143,500–$188,400, with final compensation
- Annual Incentive: Eligibility to participate in an annual incentive plan.
- Employee Benefits: Access to a comprehensive employee benefits program supporting health
- Remote Work: Fully remote position based in the United States.
- Career Development: Opportunities to grow technical expertise and contribute to innovative data
- Collaborative Environment: Work alongside multidisciplinary professionals across data science
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