Postdoctoral Research Fellow II - McWilliams School of Biomedical Informatics at UTHealth in Houston, Texas

Job Description:

What we do here changes the world. UTHealth Houston is Texas' resource for healthcare education, innovation, scientific discovery, and excellence in patient care. That's where you come in.

Once you join us you won't want to leave. It's because we reward our team for the excellent service they provide. Our total rewards package includes the benefits you'd expect from a top healthcare organization (benefits, insurance, etc.), plus:

• 100% paid medical premiums for our full-time employees
• Generous time off (holidays, preventative leave day, both vacation and sick time - all of which equates to around 37-38 days per year)
• The longer you stay, the more vacation you'll accrue!
• Longevity Pay (Monthly payments after two years of service)
• Build your future with our awesome retirement/pension plan!

We take care of our employees! As a world-renowned institution, our employees' wellbeing is important to us. We offer work/life services such as...

• Free financial and legal counseling
• Free mental health counseling services
• Gym membership discounts and access to wellness programs
• Other employee discounts including entertainment, car rentals, cell phones, etc.
• Resources for child and elder care
• Plus many more!

Position Summary:

A biomedical postdoc position provides an opportunity for early-career researchers to gain valuable experience, develop independent research skills, and contribute to the advancement of scientific knowledge in their field of expertise.

The groups of Drs. Kim and Jiang at UTHealth are searching for a highly motivated and talented Postdoctoral Fellow. This position is perfect for someone eager to lead groundbreaking research projects in multi-modal biomedical data analysis, leveraging advanced machine learning techniques to propel biomedical discovery and therapy development.

Position Key Accountabilities:

• Conduct innovative independent research under the guidance of Drs. Kim and Jiang, pushing the boundaries of biomedical AI/ML.
• Develop and implement innovative machine learning models tailored for multimodal disease and drug data analysis, including clinical registries, imaging, genomics, protein sequences, and protein 3D structures.
• Collaborate closely with domain experts in neuroscience and biology, translating complex data into actionable insights and scientific advancements.
• Publish high-impact research findings in top-tier journals, highlighting novel methodologies and contributions to the biomedical field.

Certification/skills:

• Proven expertise in designing, implementing, and applying contemporary machine learning techniques for biomedical data analysis, with proficiency in tools such as PyTorch and HuggingFace, highly preferred.
• Excellent communication skills, with a demonstrated ability to articulate complex biomedical issues to both technical and non-technical audiences.
• An independent and highly motivated researcher with a strong penchant for collaboration, capable of thriving in interdisciplinary teams alongside computational scientists and medical professionals.

Minimum Education:

• Doctoral/Terminal Degree
• Ph.D. in Computer Science, Informatics, Statistics, Biostatistics, Computational Biology, or a related discipline

Preference:

As part of the application process, it is a strong preference to provide a current curriculum vitae and a cover letter including a brief statement of research interests.

Physical Requirements:

Exerts up to 20 pounds of force occasionally and/or up to 10 pounds frequently and/or a negligible amount constantly to move objects.

Security Sensitive:

This job class may contain positions that are security sensitive and thereby subject to the provisions of Texas Education Code § 51.215

Residency Requirement:

Employees must permanently reside and work in the State of Texas.

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