Job Description

Design your own scientific path at the Johns Hopkins University School of Medicine

Why join us?
Chart your trajectory. We give postdocs true intellectual ownership. In addition to predefined analyses, choose the questions you want to explore, develop your own grant proposals, and take first‑author leadership on papers.
Unmatched data depth. You will work with one of the richest, multi‑modality resources in Alzheimer’s and aging including longitudinal plasma and CSF proteomics, neuroimaging, neuropathology and a recent expansion into single‑cell transcriptomics and spatial proteomics, all linked to decades‑deep clinical cohorts (JH‑ADRC, BIOCARD, BLSA).
Interdisciplinary ecosystem. Collaborate with neurologists, neuropathologists, neuropsychologists and neuroradiologists and with machine‑learning and statistics experts across Hopkins.
Career development. Internal university (Discovery, Catalyst, KL2, and ADRC project) grants, and travel funds let you build the CV you need for either an independent academic lab or bio‑tech/AI roles.

The project space:
We are integrating high‑throughput proteomics with single‑cell & spatial transcriptomics of immune cells (CSF, blood) and human brain tissue from the large JHU brain bank. Your mission: extract novel biomarker signatures and therapeutic targets that explain disease heterogeneity across the Alzheimer’s spectrum.
You can:
Lead de‑novo multiomic integration pipelines
Design your own sub‑project leveraging cutting‑edge wet‑lab platforms (Olink Explore, DIA_MS, NULISA, Aviti24 cytoprofiling and tissue transcriptomics) available in the lab.
Publish first‑author papers and present at ISMB, AAIC, ANA and others

What you will do:
Analyze large‑scale proteomic, single‑cell, spatial datasets to discover pathway‑level disease mechanisms.
Build reproducible pipelines in R/Python
Integrate proteomic signatures with neuroimaging, cognitive and neuropathology phenotypes.
Write manuscripts, contribute to grant proposals, and present findings at international conferences.

What you bring?
PhD (or near completion) in Bioinformatics, Computational Biology, Data Science, Statistical Genomics, or related field.
Proficiency in R and Python; comfortable on Linux clusters. Bonus points for Julia or cloud‑native workflows.
Proven analytical reasoning—able to translate numbers into biological insight.
Desire to innovate independently while thriving in a collaborative, multidisciplinary team.

Career development advantages at JHU:
Internal KL2 and Catalyst awards reserved for early‑career investigators.
Access to Hopkins Post‑doc Association workshops on grantsmanship, leadership & science communication.

Location & resources:
Dr. Moghekar’s BrainSignatures Lab is housed on the Bayview Campus of Johns Hopkins University (Baltimore, MD) with newly renovated wet‑lab and computational suites. Visit us: https://www.brainsigns.net
This full‑time position comes with the comprehensive Johns Hopkins post‑doctoral benefits package—including health, vision, dental, retirement contributions, free MTA transit pass, and subsidised childcare. Details: https://provost.jhu.edu/education/postdoctoral-affairs/postdoc-wellness-benefits-and-policies

How to apply:
Submit a single PDF containing (1) your CV, (2) a statement of research interests & career goals (cover letter), and (3) contact information for three references