Computational Genomic Scientist Position
The Applied Bioinformatics Core (ABC) at Weill Cornell Medicine (WCM) in New York City is seeking a highly skilled computational biologist with a strong analytical background, driven to tackle the mysteries of biology with high-throughput data. We are looking for a bright and motivated person to join our team of experienced bioinformaticians.
The ABC is a well-established central service group located within the thriving Tri-I research environment created by Weill Cornell Medicine, Memorial Sloan Kettering Cancer Center, and Rockefeller University. We provide analytical capabilities to support the cutting-edge biomedical research at WCM spanning virtually all areas of basic and biomedical science. Faculty and staff at this core facility have extensive expertise analyzing biological data from diverse types of high-throughput experiments, building standardized workflows as well as custom-tailored analyses with an emphasis on thorough quality control and statistical rigor. .
As a computational genomic scientist at the ABC, you will perform in-depth analyses of high-throughput data (single-cell and bulk RNA-seq, CITE-seq, ATAC-seq, ChIPseq/CUT&TAG, WGBS, etc.) to address a multitude of biological or clinical questions at the forefront of research across the WCM community. Central to this position is the ability to quickly develop a deep understanding of the underlying biology that each project addresses and of the scope and limitations of the individual experimental methods that are used. We are looking for candidates with deep knowledge of genomics, cell biology, and experimental protocols related to DNA sequencing and/or other ‘omics data types who are passionate about science and data analysis.
Qualifications we are looking for:
- Master’s degree or PHD (preferred) in Statistical/Computational Genomics or Bioinformatics, with a strong background in the biological sciences.
- Expertise in Unix environment, shell scripting, high performance computing, cloud and cluster environments, and version control with git.
- Intimate knowledge of common high-throughput sequencing analysis tools such as short-read/sequence aligners (STAR, salmon, BWA etc.), single-cell analysis packages (Bioconductor, scanpy, Seurat etc.), visualization approaches, and functional annotation of sequencing data.
- Strong programming skills in at least one of Python, R, Julia; or compiled languages such as C/C++, Rust, and JAVA.
- Critical and creative thinking, detail-oriented work, enthusiasm to work on team projects, effective communication and presentation skills, never-ending curiosity, problem solving and passion for educating fellow staff, students and faculty about bioinformatics principles.
You will:
- Be responsible for designing and carrying out bioinformatics and biostatistical analyses of next generation sequencing (NGS) datasets from a variety of platforms, including Illumina and 10X Genomics. This includes a strong focus on quality control and critical assessment of the experimental design as well as normalization, clustering, visualization, cellular annotation (for single-cell assays) and additional downstream analyses.
- Collaborate with cross-disciplinary teams of WCM faculty, clinicians, trainees, and technicians from a variety of labs and centers, advising them on experimental design, data handling and analysis practices for a variety of experimental approaches, including transcriptomics, genomics and epigenomics methods;
- Critically review, analyze, summarize, and communicate results as well as limitations of analyses to research faculty, staff, and clinical collaborators.
- Prepare results for publications, work with collaborators in writing publications and optimizing visualizations.
- Write robust code that is rigorously documented and liberally commented that that can easily be shared via code repositories.
- Organize data in a systematic, resource-conscious way. Curate metadata and upload data sets to public repositories.
- Actively participate in identifying, evaluating, and benchmarking new computational tools and methodologies that will meet the scientific goals of the ABC’s constituents;
- Educate faculty and lab members in contemporary bioinformatics methods and best practices via small group training and one-on-one consulting.
This position combines the best aspects of industry and academia; it is ideal for PhD graduates looking to work in a thriving and stimulating research environment on cutting-edge medical and clinical research projects, directly impacting manifold research efforts. The focus of our work is to understand the data at hand and how it relates to the initial research question. If you enjoy detail-oriented data exploration, hypothesis testing, writing robust code, and contributing to a wide range of research projects without the pressure of having to publish papers or apply for grants, then this job is for you!
For recently published projects, check out
GitHub page.
To apply for this position, please email your CV in PDF format only along with a short cover letter to
abc@med.cornell.edu