Post Doctoral Fellow

Emory • Atlanta, GA

6d • Onsite

About The Position

The Post Doctoral Fellow designs and conducts research in a specified field while receiving advanced training and mentorship from a Principal Investigator. The role supports the development of professional skills and research independence. The specific research area is determined by the department and laboratory. This fellow will integrate and analyze neuroimaging and proteomics data to investigate mechanisms underlying neurodegenerative diseases, developing and applying statistical, machine learning, and other computational methods. The fellow interprets results in the context of disease biology, prepares scientific manuscripts, presentations, and reports, publishes in peer-reviewed journals, presents at scientific meetings and conferences, and contributes to grant writing and new research projects. The position involves collaboration with multidisciplinary teams and may include operating equipment, teaching techniques, and training or supervising research staff.

This is a temporary research-trainee appointment. The initial appointment is one year, with renewal expected when progress is satisfactory and funding is available. Appointments may not exceed five years. Work is generally performed in person at an Emory University location; remote-work days may be granted at department discretion, and Emory may change remote-work status with notice.

Requirements

• Doctoral degree or equivalent (such as Ph.D., M.D., ScD., D.V.M., or DDS) in an appropriate field.
• Excellent scientific writing ability and strong oral communication skills.
• Ability to work effectively and collegially with colleagues.
• Strong analytical, presentation, and communication skills.
• Ability to work independently and collaboratively.
• Additional qualifications as specified by the Principal Investigator.

Nice To Haves

• Ph.D. in Biomedical Informatics, Bioinformatics, Computational Biology, Neuroscience, Biomedical Engineering, Computer Science, or a related field.
• Strong background in computational methods, statistical analysis, and machine learning applied to biomedical or clinical research.
• Proficiency in Python and/or R for data processing, statistical modeling, and data visualization.
• Experience analyzing large-scale biomedical datasets, preferably neuroimaging, proteomics, genomics, or other omics data.
• Familiarity with machine learning methods, data integration approaches, and computational techniques for identifying disease-associated patterns and biomarkers.
• Ability to interpret complex analytical results in biological or clinical research contexts.
• Publication record commensurate with career stage, with scientific writing experience and ability to prepare manuscripts for peer-reviewed journals.
• Experience presenting research findings at scientific meetings and national or international conferences.
• Ability to manage multiple research tasks and collaborate within multidisciplinary teams.
• Strong organizational skills, attention to detail, and commitment to reproducible research and scientific rigor.
• Prior research experience in Alzheimer's disease, related dementias, or other neurodegenerative diseases.
• Familiarity with neuroimaging modalities such as MRI or PET, and proteomic data generated using mass spectrometry or affinity-based platforms.

Responsibilities

• Design and evaluate experiments and conduct research under the direction of a Principal Investigator.
• Develop new ideas and computational methods that advance current research.
• Integrate and analyze large-scale neuroimaging and proteomics datasets using statistical and machine learning approaches.
• Interpret analytical findings in the context of disease biology and clinical research.
• Prepare and publish scientific manuscripts, presentations, and research reports.
• Present research findings at scientific meetings and national or international conferences.
• Contribute to grant writing and the development of new research projects.
• Collaborate with multidisciplinary research teams and communicate findings to diverse audiences.
• Operate specific equipment as needed.
• Teach techniques to others and train or supervise research staff as needed.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Education Level: Ph.D. or professional degree