Software engineer
- Location
- San Francisco
- Type
- Full time
- Compensation
- $150k-$200k
- Posted
- 2 days ago
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Department: Otolaryngology-Head and Neck Surgery
Institution: Icahn School of Medicine at Mount Sinai
Name of PI or Supervisor: Maaike van Gerwen, 212-241-0432, maaike.vangerwen@mountsinai.org
Location: New York, NY
Employment Type: Full Time
Start Date: Fall/ Winter 2026
Administrative Contact: Kerry Feeney, 212-241-7008, kerry.feeney@mountsinai.org
Requirements
A doctoral degree (e.g., PhD, MD) is required. Additional required qualifications include:
Preferred Qualifications
Responsibilities
Compensation Statement
The Mount Sinai Health System (MSHS) provides salary ranges that comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $74,69200 - $80,000.00 Annually. Actual salaries depend on a variety of factors, including experience, education, and operational need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.
SPOC-UAW Local 4100 at Icahn School of Medicine (Post Docs), ICW - Otolaryngology Administration - ISM, Icahn School of Medicine
About
The Department of Otolaryngology-Head and Neck Surgery at the Icahn School of Medicine at Mount Sinai seeks a highly motivated and talented postdoctoral research fellow with interests in environmental epidemiology, multi-omics integration, and bioinformatics.
The candidate will join a multidisciplinary research team investigating the role of environmental exposures in the development and progression of head and neck diseases. Our research integrates large-scale epidemiological data with multi-omics approaches, including genomics, epigenomics, transcriptomics, and metabolomics, to better understand the molecular mechanisms underlying environmental health effects and disease susceptibility.
This position is well-suited for candidates with a strong background in environmental epidemiology, bioinformatics, computational biology, or biostatistics who are interested in applying advanced statistical and computational approaches to investigate the relationships between environmental exposures, molecular mechanisms, and disease. The successful candidate will have opportunities to lead research projects, develop innovative analytical approaches, collaborate with researchers across disciplines, and contribute to high-impact scientific publications.