Postdoctoral Position in the Loda Lab

The Loda Laboratory at the Department of Pathology and Laboratory Medicine of Weill Cornell Medicine in New York City is seeking a postdoctoral fellow with expertise in bioinformatics and computational biology.

 Our research focuses on understanding the role of tumor microenvironment (TME) of Prostate Cancer in modifying the behavior of genetically defined drivers and their metabolic dependencies with a specific interest in lipid metabolism and its regulation.

Our approach is multidisciplinary, utilizing cell lines, orthotopic tumor xenograft, genetically engineered murine models and human tumors. We also use cutting-edge molecular pathology techniques such as ex vivo organotypic cultures, multiplexed immunohistochemistry (Nanostring GeoMx DSP; CODEX, Hyperion) and in situ hybridization, advances in image analysis and machine learning and applying molecular techniques such as metabolic profiling to formalin-fixed, paraffin-embedded tissue. 

 The successful candidate will have demonstrated a solid understanding of biology and genomics, programming skills, and experience with high-throughput molecular sequencing technologies. Preference will be given to candidates who have significant experience with genome wide CRISPR screens and construction of computational pipelines for RNA-seq data from single-cell platforms such as 10x.

Job Requirements

An ideal applicant should have:

• A recent PhD in a quantitative field such as Bioinformatics, Genomics, Computational Biology, Computer Science, Mathematics, Physics or a related discipline.

• Excellent programming skills in R, Python and BASH with emphasis on scientific data. Demonstrated experience in developing high-performance algorithms is beneficial.

• Familiarity with analysis of large-scale genomic sequence data.

• A strong track record of scientific publications.

• Good oral and written communication skills in English.

 •A high proficiency with multiple software platforms is required

 • Experience with database integration, maintenance, and optimization with LIMS systems are a plus

• Knowledge of sequencing technologies such as RNA-Seq, ChIP-Seq, ATAC-Seq, Single Cell Seq

• Understanding of whole-genome or transcriptome alignment programs such as Bowtie, Trinity, RNA-STAR, GSNAP, Salmon, Kallisto

• Experience with statistical analysis of biological data - e.g., using DESeq to test for differential expression

• Ability to work in a multi-disciplinary environment of biostatisticians, computational biologists, laboratory biologists and translational scientists

• Familiarity with cloud computing infrastructures  such as Google Cloud, AWS, or Microsoft Azure

• Experience with visualization tools such as Tableau, Matplotlib, or ggplot2

• Understanding of the biology of gene regulation is a plus (promoters, enhancers, microRNAs, etc)

Interested applicants should include a CV and a one-page research proposal with links to past coding projects as the cover letter. 

 

Salary Range is: $58,500 - $65,320 

Weill Cornell Medicine provides the above salary range in compliance with the New York City law on Salary Transparency in Job Advertisements. The salary range listed is for full‐time employment not including bonuses, clinical incentive compensation, or benefits. Actual salaries depend on a variety of factors including but not limited to internal equity, specialty, training, and hospital/community needs.

The above salary range for New York City based roles represents WCM’s good faith and reasonable estimate of possible compensation at the time of posting.

Contact

Dr. Massimo Loda

Office of Postdoctoral Affairs 1300 York Ave, Suite A-139 New York, NY 10065 Phone: