Post-Doctoral Fellow (SRI) Biological Sciences Temporary Full-time

A 2-year (renewable) full-time postdoctoral fellowship is available in the laboratory of Prof. Alain Dabdoub. The position focuses on decoding the molecular landscape of the human inner ear during development and regeneration and translating these findings to advance therapeutic strategies. Our research investigates mechanisms that regulate auditory and vestibular homeostasis the regeneration of sensory hair cells stria vascularis and auditory neurons as well as the implications for therapies and understanding disorders associated with aging hearing loss and balance dysfunction. Our projects combine state-of-the-art computational tools and cutting-edge biological experiments.

Position Eligibility and Start Dates

The successful candidate will benefit from a multidisciplinary collaborative environment strong mentorship and access to top-tier facilities. They will take a lead role in projects using single-cell and multiomic sequencing as well as advanced computational tools. Primary responsibilities will include bioinformatics analyses with a focus on single-nuclei RNA- and ATAC-seq interpretation and visualization of complex datasets and integration with experimental results. Candidates will contribute to research design data management analysis tool development manuscript and grant writing and presentations at scientific meetings. Active participation in collaborative projects training initiatives and group infrastructure development is expected. This opportunity welcomes applications from all qualified candidates and the position is open and can start as soon as mutually convenient.

Qualifications:

• Recent PhD or MD/PhD (02 years postdoctoral experience) in computational biology bioinformatics or closely related disciplines. Demonstrated expertise in bioinformatics statistics and proficiency in programming (e.g. R and/or Python)
• Experience with omic datasets: proteomics transcriptomics and/or epigenomics (snRNA-seq snATAC-seq analysis preferred)
• Proven track record of first-author publications in high-quality journals
• Excellent analytical problem-solving written and verbal communication skills
• Ability to work independently as well as in a collaborative multidisciplinary environment
• Fluency in English (written and spoken)

Preferred Skills

• Experience with data quality control large multiomic dataset management and high-performance computing
• Advanced data visualization tool/methods development and presentation skills
• Participation in manuscript and grant preparation
• Interest in mentoring and training team members

Application Process
Please submit a single PDF including:

• Cover letter (with reasons for applying)
• Full CV (including thesis details academic distinctions and publication list)
• Brief statement of previous work career goals and research interests (max 1 page)
• Contact information for at least two referees

Send applications to Prof. Alain Dabdoub at