Jobs | Institute for Computational Biomedicine — Weill Cornell Medical College

Positions Available

Postdoctoral Positions in Computational Genomics — Algorithm Development

There are positions for outstanding postdoctoral fellows. Ideal candidates must have a Ph.D. in Computer Science, Computational Biology, Engineering or a related life sciences field with quantitative skills. Excellent computational (e.g. Algorithms, Machine Learning, Mathematics), programming (e.g. C/C++, Java or Python) and communication skills are required. Candidates with prior experience in biomolecular sequence analysis are highly desirable.

The candidate is expected to take leadership of some of the exciting research questions we are actively perusing in the domains of characterizing human genomes using current (and future!) sequencing technologies, understanding of cancer genomes and quantifying the disease evolution.

Please email your CV to Iman Hajirasouliha “imh2003@med.cornell.edu” along with a brief description of your background and future interest. Use the subject “Postdoctoral Fellows in Computational Genomics — Algorithm Development”.

For more info please visit: www.imanh.org

Postdoctoral Researcher / Computational Biology

We are looking for an ambitious, driven post-doctoral scientist to lead computational analysis and method development for large multi-omics experiments focusing on epigenomics, transcriptomics and chromatin topology. The work will focus on stem cells and hematological malignancies and will take place in the context of a close and productive collaboration between three laboratories at Weill Cornell Medicine and in the Meyer Cancer Center: Dr Olivier Elemento, whose group focuses on cancer genomics, precision medicine and cancer systems biology, Dr. Ari Melnick who studies epigenomics of hematological malignancies and hematopoietic development and Dr. Effie Apostolou who studies the epigenomics and chromatin topology of embryonic stem cells. The group has collectively advanced the field and published hundreds of papers in the past few years in the areas of epigenomics and chromatin topology applied to problems of high biomedical relevance. The post-doctoral scientist will perform computational analyses to integrate and interpret massive multi-omics genome-wide biological datasets (RNA-seq, ERRBS, ChIP-seq, HiC etc) generate testable hypotheses, build predictive models that will further drive experimental discovery. The candidate will be integrated into the Institute of Computational Biomedicine (ICB), which hosts a petabyte scale high-performance computing infrastructure. The ICB also has a large group of talented and experienced computational biologists with a strong focus on cancer genomics on whom the post-doctoral scientist can rely for intellectual input, support and extensive computational resources. The position is ideal for a candidate who if successful seeks relatively fast and successful academic progress to an instructor and assistant professor position.

To apply, please send a brief cover letter, curriculum vitae and contact information for at least two references to ole2001@med,cornell.edu, amm2014@med.cornell.edu and efa2001@med.cornell.edu

Position Activities

1) Lead computational analysis of RNA-Seq, ChIP-Seq, ATAC-Seq, 4C-Seq, Hi-C data generated in stem cells, cancer cells and normal cells during development and immune challenges, generate hypotheses, design follow-up experiments.
2) Develop novel methods and algorithms for normalization, analysis and visualization of massive multi-omits data.
3) Correlate/Integrate multiple comics datasets.
4) Present results at joint group meetings and other outlets, write manuscripts.

Minimum Requirements

1) A PhD in Biology, Bioinformatics or Computer Science.
2) Strong publication record with at least one strong first author paper.
3) Strong background in bioinformatics with experience in analysis of next-generation sequencing data demonstrated by relevant publications.
4) An ability to program in at least one widely used language (Perl, Python, Java, C++, etc.), proficiency in statistical software packages such as R / Bioconductor, ability to create compelling graphics and use state-of-the-art data visualization methods e.g. RMarkdown, Shiny, ggplot2, D3.js

Highly Desired Skills and Abilities

1) Strong focus and interest on biomedically relevant problems.
2) Track record of developing novel computational methodologies and publishing innovative software packages.
3) Demonstrated ability to lead projects and work both independently and collaboratively.
4) Excellent verbal and written communication skills demonstrated by track record of publication, public speaking and collaborative interactions.

Relevant Websites:

Olivier Elemento’s lab: http://physiology.med.cornell.edu/faculty/elemento/lab/
Effie Apostolou’s lab: http://www.apostoloulab.com
Ari Melnick’s lab: http://melnicklaboratory.med.cornell.edu

Postdoctoral positions in computational genomics

Applications are invited for postdoctoral positions in the laboratory of Ekta Khurana (http://khuranalab.med.cornell.edu) at the Weill Cornell Medical College (WCMC) in New York City. The research focus of the lab is to understand the role of genomic sequence variants in human disease. The successful applicants will be affiliated to the Sandra and Edward Meyer Cancer Center, the Institute for Precision Medicine (IPM) and the Institute for Computational Biomedicine at WCMC, and will have opportunities to collaborate with a diverse group of experimental and computational biologists. The Khurana lab has access to clinical data from IPM and participates actively in many international genomics consortia. There will also be opportunities for wet lab research for interested candidates.

A PhD in computational biology, bioinformatics, genomics or a related field is required. A strong computational background, proficiency in at least one programming language and knowledge of statistics are also required. Research experience in genomics is desirable.

Interested candidates should send a cover letter, CV and names of three references to Dr. Khurana (ekk2003@med.cornell.edu). Please put the word ‘Postdoc-Application-2014’ in the subject line of your email.

WCMC offers competitive salary and generous benefits.

Postdoctoral Position in Computational Biology

A postdoctoral position in computational biology is available in the lab of Doron Betel at Weill Cornell Medical College in New York City. Our work is focused on the development and application of computational tools for the study of post-transcriptional regulation specifically miRNA and other small regulatory RNAs. We have several active collaborations with experimentalist and clinicians at Weill Cornell as well as other institutes in the areas of cancer, stem cell and neurobiology. Postdocs in the group will have the opportunity to take a leadership role in one or more of these projects, initiate new projects and foster new collaborations. We currently have a position open to work on the analysis and interpretation of miRNA targets and RNA expression data in cancer and neurobiology using novel experimental and high-throughput sequencing approaches.

An ideal candidate should have Ph.D (or equivalent) training in statistics, machine learning, algorithmic development and computational biology as well as detail understanding of molecular biology and genetics. Prior experience in processing and managing high-throughput sequencing data is desired.

Applications will be accepted until the position is filled. Please submit a CV, a brief research statement, bibliography (or preprints), and names of at least three references to Doron Betel (dob2014@med.cornell.edu).

Postdoctoral Research Positions in Molecular Modeling

Postdoctoral Research Positions in Cancer Genomics

Description: A Starr Cancer Consortium Foundation-funded post-doctoral position in cancer genomics is available in the Institute for Computational Biology at Weill Cornell Medical College of Cornell University. The position is focused on untangling large scale data emerging from DNA genome and RNA transcriptome sequencing in the area of prostate cancer. The ability to understand the functional implications of mutations and deregulation of genes and pathways will provide novel insight into the disease process and help nominate putative therapeutic targets.

The postdoc will work under the direct supervision of Francesca Demichelis (Leader of the Computational Group for Prostate Cancer at Weill Cornell). Key interactions will occur with collaborators in the Department of Pathology and Laboratory Medicine (Mark A. Rubin, Prostate Cancer Pathology Laboratory) and the Broad Institute (Levi Garraway, Prostate Cancer Functional Group) to 1) identify, characterize, and prioritize .driver. genomic mutations (e.g., in/dels, non-synonymous mutations, gene fusions events, etc.), 2) Determine canonical pathways that are altered due to a combination of mutations and deregulation of transcriptomic events to help determine key functional targets, 3) Develop novel approaches to integrate DNA-sequencing, RNA-Sequencing, and somatic copy number alteration data with the goal of providing novel insights no currently available from existing computational approaches.

Qualifications: A strong computational background and basic knowledge of statistics are required. Specific knowledge of Cancer Biology is not required but would be an asset. The ideal candidate will need to interact well with non-computational biologist in a systems biology approach. A Ph.D. in either computational biology or genomics, or in a closely-related field, is required by the position start-date.

Contact Information: Interested candidates should send a curriculum vitae and brief summary of research experience to: Francesca Demichelis, Ph.D.; Department of Pathology and Laboratory Medicine, Institute for Computational Biomedicine, Weill Cornell Medical Center, 1305 York Avenue, Room Y-1307, Box 140; New York, NY 10021. Email: frd2004@med.cornell.edu

Post-doctoral Position in Functional and Computational Genomics

The Mason lab focuses on the development of new algorithms for the analysis of next-generation sequence (NGS) data, including the creation of the BioHDF (Hierarchical Data Format) structures. We also work on the parallelization of automated analytic steps and visualization of enormous data sets (trillions of data points). In this lab, you would develop novel programs for DNA and RNA variant detection from RNA-Seq and other NGS data, with multi-dimensional integration of these data along regulatory and developmental layers, including new methods in immersive environments and gesture-based computing. You would help classify genetic variants that are found leukemia and lung disease patients, validate them, and then utilize these methods to examine other datasets from our lab, such as normal brain samples studied as part of neurogenetics time course and Autism samples.

Excellent bioinformatic and programming skills (e.g., in C, C++, Perl, Python, or Java), a strong background in genetics and biology, and expertise in statistics are necessary for this position. Prior experience with analysis of deep sequencing, expression, and CNV data would be ideal. Salary will be competitive with entry-level post-docs, but experience can obviously increase the starting salary. Benefits are excellent at Cornell.

To apply, email a resume in addition to names and contact addresses of two persons who can provide recommendation letters to:

Christoper Mason
chm2042@med.cornell.edu
http://physiology.med.cornell.edu/faculty/mason/lab/
Weill Medical College of Cornell University
Institute for Computational Biomedicine
1305 York Avenue
New York, NY, 10021

Postdoctoral Position in Computational Genomics

The group’s research emphasis is the systems and computational biology of regulatory networks in normal and malignant cells. As part of our research, we develop and apply innovative computational tools and modeling techniques to generate testable hypotheses and reveal fundamental principles about regulatory network connectivity, regulatory mechanisms, regulatory sequences, drug targets, and other molecular aspects of cancer cells. Experimental testing of these hypotheses and generation of new data (e.g., ChIP-seq and RNA-seq) is done in collaboration with other groups at Weill Cornell and elsewhere.

Strong programming skills (e.g., in C, C++, or Java), expertise in statistics and machine learning are necessary for this position. Prior experience with analysis of deep sequencing or proteomic data would be a plus.

To apply, email a resume in addition to names and contact addresses of two persons who can provide recommendation letters to:

Olivier Elemento
ole2001@med.cornell.edu
http://physiology.med.cornell.edu/faculty/elemento/lab/
Weill Medical College of Cornell University
Institute for Computational Biomedicine
1305 York Avenue
New York, NY, 10021