Postdoctoral Fellow
Postdoc position on integrative cancer genomics and precision oncology Full-time
Position Description
The Lagana Lab at Mount Sinai, New York, is looking for a post-doc to develop and apply computational methods for integrative analysis of cancer genomics data with precision oncology applications. The post-doc will process and analyze sequencing and clinical data of multiple myeloma patients to discover genetic and molecular features of disease pathogenesis and progression, and drug resistance.
The post-doc will work and collaborate with bioinformaticians, biologists and clinicians in the Tisch Cancer Institute and the Multiple Myeloma Program at Mount Sinai. The approaches used will include network modeling, analysis of next-generation sequencing and clinical data and machine learning.
This position is highly collaborative, and applicants must be comfortable in a dynamic research environment comprised of students and staff from diverse backgrounds.
Requirements
- Ph.D. in computational biology (preferably cancer biology), bioinformatics or biostatistics is required.
- Experience in a research environment.
- Prior experience in cancer genomics and analysis of deep sequencing data is highly valued.
- Excellent communication skills in written and oral English are essential.
- Proficiency in R and/or Python.
- The candidate is also expected to be self-motivated, creative and capable of contributing productively in a team environment.
Duties and responsibilities
- Collaborates with the PI in the development of new projects and research methodologies. Incumbents are expected to stay apprised of the literature as well as practical skill sets relevant to the field.
- Perform analysis of next-generation sequencing data (whole-exome, whole-genome, RNAseq, single cell seq) from cancer samples.
- Develop and apply methods to perform integrative analysis of clinical and sequencing data.
- Develop machine learning and network models from clinical and sequencing data for the discovery of disease drivers and characterization of molecular pathways in cancer.
- Assists the PI with publications by extracting and compiling moderate to complex research data (i.e. related to genomics, oncology, immunology, etc.); assisting in interpreting the data; reviewing and editing articles used in scientific publication.
- Nurture collaborative relationships with fellow scientists within the institution, locally, nationally and internationally.
- Ensures compliance with safety and regulatory requirements.
- Provide bioinformatics support to genomics and precision medicine projects.
To apply, send CV to: alessandro.lagana@mssm.edu.