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Postdoctoral Fellow
Emory University. Design and conduct research within a specified field under the guidance of a Principal Investigator .
Core Competencies
Role fitCore Competencies
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Demonstrates expertise in advanced machine learning, deep learning, and AI tools applied to genomics data analysis, alongside strong scientific writing and communication skills. Capable of conducting independent research and collaborating effectively within cross-disciplinary teams.
Highest-signal resume keywords
Ph.D. In BiostatisticsMachine LearningGenomics Data AnalysisScientific WritingOral Communication Skills
ATS Keywords
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Hard Skills
Advanced Machine LearningDeep LearningAI ToolsGenomics Data AnalysisStatistical AnalysisExperimental DesignData EvaluationProgramming In RProgramming In PythonNext-Generation Sequencing
Soft Skills
Effective CollaborationCollegial WorkTeaching TechniquesSupervising Research Staff
Tools & Technologies
High-Performance ComputingLinuxBash Commands
Certifications & Qualifications
Doctoral Degree (Ph.D., M.D., ScD., D.V.M., DDS)
Industry Keywords
GeneticsGWASTranscriptomicsEpigeneticsProteomicsComplex DiseasesAlzheimer's DiseaseParkinson DiseaseCareer-Development Awards
Tech Stack
Tools & technologiesLinuxPython
About the role
Key responsibilities & impact- Design and conduct research within a specified field under the guidance of a Principal Investigator
- Receive advanced training to enhance professional skills and research independence
- Design and evaluate experiments
- Develop new ideas that promote current research
- Prepare and publish scientific manuscripts under the direction of the Principal Investigators
- Operate specific equipment as needed
- Teach techniques to others, train, and supervise research staff as needed
- Develop and apply novel advanced machine learning, deep learning, and AI tools to study genomics data streams, including genetics/GWAS, transcriptomics, epigenetics, and proteomics
- Study the underlying genomics etiology of complex diseases including Alzheimer's disease, age-related motor traits, and Parkinson disease
- Engage in cross-disciplinary collaborative research within and beyond the department
- Work jointly with Principal Investigators Drs. Michael Epstein and Jingjing Yang
- Pursue career-development awards as part of the training process
Requirements
What you’ll need- A doctoral degree or equivalent (Ph.D., M.D., ScD., D.V.M., DDS etc) in an appropriate field
- Excellent scientific writing ability
- Strong oral communication skills
- Ability to work effectively and collegially with colleagues
- Additional qualifications as specified by the Principal Investigator
- Preferred: Ph.D. in Biostatistics, Bioinformatics, Statistics, Computer Science, Computational Biology, or a related field
- Preferred: Proficiency in one or more programming languages, such as R or Python
- Preferred but not required: Experience working with large-scale genomics datasets and next-generation sequencing data
- Preferred but not required: Experience with high-performance computing cluster environments with Linux (bash commands)
Benefits
Comp & perks- Remote work from home day options may be granted at department discretion
- Career-development award application opportunities
- Reasonable accommodations for qualified individuals with disabilities upon request