Department: Biomedical Informatics, University of Colorado Anschutz Medical Campus
Location: Hybrid (3 days on campus in Aurora, CO)
Position: Post-Doctoral Fellow in AI-Driven Medication Management Research
Elevate Healthcare with Cutting-Edge AI Research
Are you passionate about applying AI, NLP, and machine learning to solve critical healthcare challenges? Do you thrive in collaborative and innovative environments where research has real-world clinical applications? The Sikora Lab is seeking a Postdoctoral Fellow to lead groundbreaking research at the nexus of AI and medication management for critically ill patients.
Your Mission:
- AI-Powered Innovation: Develop and implement cutting-edge NLP models and AI solutions for complex healthcare data.
- Transformative Research: Design and execute experiments, apply advanced analytics, and translate findings into impactful solutions for patient care.
- Data Mastery: Manage multimodal data sets and contribute to data cleaning, wrangling, and integration.
- Thought Leadership: Publish in leading journals, present findings at international conferences, and contribute to groundbreaking grant proposals.
- Mentorship & Collaboration: Guide graduate and undergraduate students while engaging with clinical and computational collaborators.
Why Join Us?
- State-of-the-Art Research Facilities: Work in the new Health Science building with cutting-edge resources and a stunning view of the Rocky Mountains.
- Direct Clinical Impact: Partner with healthcare professionals to create solutions that improve patient outcomes in the ICU.
- Career Development: Receive personalized support for career advancement, grant writing, and research ideation.
- Collaborative Community: Join a thriving interdisciplinary network of AI, biomedical, and healthcare experts.
- Unmatched Lifestyle: Enjoy Denver’s vibrant urban life and easy access to the outdoor wonders of the Rockies.
What You Bring:
- PhD in a Relevant Field: Computer Science, Biomedical Informatics, Data Science, AI, NLP, or related disciplines.
- Proficiency in AI Tools: Experience with frameworks like PyTorch or TensorFlow and NLP models such as BERT, GPT-4, or LLaMA.
- Data Analysis Expertise: Strong skills in handling large-scale datasets and applying advanced statistical methods.
- Scientific Communication: A track record of peer-reviewed publications and conference presentations.
- Bonus Points:
- Experience with biomedical datasets or electronic health records
- Expertise in high-performance computing environments
How to Apply:
Submit your Cover Letter, CV, and List of References electronically via CU Careers.
Application Deadline: Best consideration by January 5, 2025.
Compensation: $70,000 annual salary, with excellent benefits.
Join a mission-driven research community where your work directly contributes to transforming healthcare and improving lives.
