Senior Manager, Clinical Data Science
J
JobgetherPharmaceuticals
Based in the United StatesFull-TimeManager
SalaryAnnual base salary range of $143,500–$188,400
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Job Details
- Experience
- Minimum of 6 years of relevant professional experience
- Required Skills
- AWSPythonCloud ComputingMachine LearningLinuxRDeep LearningNLP
Requirements
- Minimum of 6 years of relevant professional experience in data science, data engineering, computational science, or a closely related discipline.
- Master’s degree required; Ph.D. preferred, particularly in Engineering, Computer Science, or a related technical field.
- Strong programming experience with at least two languages or technologies such as R, Python, and Shell scripting.
- 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, omics, or comparable real-world datasets.
- Strong knowledge of machine learning, deep learning, NLP, predictive modeling, or other advanced data science methodologies.
- Demonstrated experience creating data analysis pipelines using cloud servers and high-performance computing clusters.
- High proficiency with Linux and Windows operating systems and experience working within AWS environments.
- Experience developing front-end or web-based interfaces for statistical and predictive models.
- Demonstrated ability to create visual analytics and deploy interactive prediction applications using Streamlit, R-Shiny, or similar technologies.
Responsibilities
- Lead data science initiatives that support clinical drug development, with a focus on predictive modeling of disease characteristics and drug response.
- Process, integrate, and analyze high-dimensional multimodal datasets, including clinical, imaging, genomic, text, and other real-world data sources.
- Develop sophisticated predictive models using machine learning, deep learning, natural language processing, and related advanced analytical methods.
- Design, build, deploy, and support scalable data engineering and data science platforms for research and clinical development projects.
- Develop analysis pipelines for complex datasets such as genomics and imaging using cloud infrastructure and high-performance computing environments.
- Build and deploy interactive web-based interfaces for statistical models, visual analytics, and predictive applications using tools such as Streamlit, R-Shiny, or comparable technologies.
- Work closely with data scientists, translational sciences teams, IT, and software engineering partners to deliver secure, scalable, and effective solutions.
- Translate complex analytical approaches and findings into practical solutions that support project teams and broader drug development objectives.
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