Indiana University

Position Summary

The Dage Lab at the Indiana University School of Medicine is seeking a highly motivated Postdoctoral Research Fellow to join our innovative research team. Our lab focuses on developing precision medicine approaches for diagnosing neurodegenerative diseases, such as Alzheimer’s disease, through the discovery of blood-based biomarkers.

This position is funded by the Alzheimer’s Disease and Aging Cohort Consortium (ADACC) U24 grant (Wake Forest PI: Dr. Michelle Mielke, IU mPI: Dr. Nicole Fowler) and will involve cutting-edge research in Alzheimer’s disease and related neurodegenerative disorders. The primary goal of this research project is to establish a national consortium, the Alzheimer’s Diagnosis in Older Adults with Chronic Conditions (ADACC) Network. This consortium will consist of multidisciplinary investigators dedicated to developing evidence-based strategies for the use and implementation of biomarkers for Alzheimer’s disease and related dementias (ADRD) in older patients with multiple chronic conditions and cognitive impairment.

This clinical research-focused position involves working with clinical, imaging, biomarker, and genetics data across multiple studies. Expertise in biostatistics and familiarity with handling multiple data types, both cross-sectionally and longitudinally, are critical for success.

IUSM is committed to being a welcoming campus community and we seek candidates whose research, teaching, and community engagement efforts contribute to robust learning and working environments for all students, staff, and faculty. We invite individuals who will join us in our mission to improve health equity and well-being for all throughout the state of Indiana.

Basic Qualifications

Educational Requirements:

Candidates must have an MD/PHD or Ph.D. or in Neuroscience, Bioinformatics, Biostatistics, or a related field prior to the start of the appointment

Skills Requirements:

• Prior experience in Alzheimer’s disease and related dementia research is highly desirable
• Strong background in statistical data analysis
• Excellent communication and organizational skills
• Ability to work independently and collaboratively

Skills Preferred:

• Familiarity with biomarker assay discovery and development
• Experience with multi-omics approaches (proteomics, genomics, metabolomics)

Department Contact for Questions

Dr. Jeffrey L. Dage

jdage@iu.edu

Additional Qualifications

Experience with and computational biology