Postdoctoral Fellow in Precision Medicine Translational Research Full-time

Postdoctoral Fellow in Precision Medicine Translational Research

The Johns Hopkins Division of Rheumatology is seeking a one or two-year MD, PhD, or MD/PhD Postdoctoral Fellow for a T32-funded postdoctoral training position to join a multidisciplinary team advancing biomarker discovery, validation, and clinical translation in lupus nephritis and related autoimmune diseases. This position is part of the Johns Hopkins Individualized Health Initiative (Hopkins inHealth), a University-wide effort to develop precision tools that improve diagnosis, prognosis, patient stratification, and therapeutic decision-making.

Position Overview

The successful applicant will work closely with a collaborative team to:

– Identify and validate molecular biomarkers (proteomic, genomic, cellular) that predict disease activity, renal outcomes, and treatment response.

– Integrate urine proteomics, tissue transcriptomics, immune phenotyping, and clinical data to define biologically meaningful patient subgroups.

– Contribute to the development of risk-prediction tools, biomarker panels, and precision-medicine algorithms.

– Participate in NIH-funded translational studies involving spatial multi-omics, proteomics platforms, and clinical cohorts.

– Lead manuscripts and abstracts in biomarker discovery and translational immunology.

Qualifications

Eligibility Requirements:

Due to T32 funding requirements, applicants must be U.S. citizens, noncitizen nationals, or permanent U.S. residents.

Required Qualifications

– MD, PhD, or MD/PhD in a clinical or biomedical science discipline.

– Strong interest in biomarker discovery and translational research.

– Experience integrating molecular and clinical data is highly desirable.

– Excellent scientific writing and communication skills.

Ideal Candidate Attributes

– Strong motivation to publish and advance biomarker-based precision medicine.

– Background in immunology, nephrology, rheumatology, pathology, molecular biology, computational biology, or related areas.

– Collaborative mindset and ability to work across clinical and computational.

Application Instructions

Interested applicants should submit:

– Curriculum vitae

– Cover letter describing research interests and relevant experience

– 2 Confidential Letters of Recommendation