Our company is seeking to provide data analytics solutions for real-world tasks, with a focus on complex data types such as histology images, signals, and text, utilizing modern statistical and AI/ML methods to enable the discovery, development, regulatory approval, manufacturing, and marketing of medical drugs and vaccines.
Requirements
- Familiarity with analyzing complex data types such as histology images
- Solid knowledge of AI/Machine Learning and statistical principles and methodologies.
- Demonstrated strong programming skills, particularly in Python and R languages.
- Demonstrated interest in methodology research and the application of novel methods to real-world problems.
Responsibilities
- Provide data analytics solutions for real-world tasks, with a focus on complex data types such as histology mages, signals, and text.
- Utilize modern statistical and AI/ML methods, including deep learning and generative AI.
- Apply sound scientific principles and data analytic methods to Pharmaceutical Research and Development (R&D) projects.
- Implement and apply machine learning and statistical analysis pipelines for complex data types such as digital pathology images
- Serve as data analytic representative in cross-functional teams for pharmaceutical R&D.
- Identify potential data and data-analysis related problems, propose solutions, and implement them.
- Engage in AI/ML and statistical methodology research.
Other
- Understand customer requests and effectively communicate analysis results to customers.
- Collaborate with people from diverse background and expertise, including research scientists, clinical scientists, regulatory experts, IT specialists, etc.
- Identify opportunities to add value to different phase of pharmaceutical R&D projects.
- Analyzes data and interpret results.
- Communicate analysis results effectively to audience with diverse background and expertise through both oral presentations and written reports.
- Provide responses to data and analysis related queries from research scientists, clinical scientists, and regulatory agencies.
- Strong oral and written communication skills.
- Ability to work well both independently and collaboratively.
- Ability to learn, be proactive and motivated, and consistently focus on details and prompt execution.
- Ability to collaborate with scientists and work effectively on multidisciplinary teams.
- Ph.D. or equivalent degree in Statistics/Biostatistics/Data Science/Computer Science or related disciplines. OR Master's degree with a minimum of 4 years of relevant work experience.
- Domestic Relocation
- VISA Sponsorship: Yes
- Travel Requirements: 10%
- Flexible Work Arrangements: Hybrid
