The Department of Medicine at Weill Cornell Medical College is seeking a highly motivated researcher with a computational biology/bioinformatics background to join our team. We are seeking a dynamic individual who will be responsible, as a member of a team, for providing computational support for a range of activities. Expertise will be applied to answer key biological questions exploring molecular abnormalities, which contribute to the pathogenesis of Myeloid Disorders (including, but not limited to, Acute Myeloid Leukemia and Myeloproliferative Neoplasms).
Research Leads to Cures Initiative: Weill Cornell Medical College
- The candidate is expected to execute integrative analyses of large datasets generated from clinical and functional genomic data from in-house experiments and/or available public repositories, by developing and applying computational pipelines mainly focused on next generation sequencing data and other large-scale datasets. The work will be performed under the supervision of faculty members (Dr. Francine Garrett-Bakelman, Dr. Christopher Mason and Dr. Ari Melnick) and with staff in the Division of Hematology and Medical Oncology and Cancer Center. The applicant would join a thriving and highly interactive research team including cancer biologists, hematopathologists, and computational biologists.
Applicants with the following qualifications and expertise:
- Training in a bioinformatics, computer science, biostatistics or related field (masters or higher degree), together with a background in molecular biology or a related field.
- A minimum of two years experience in analysis of next generation sequencing data, familiarity with graphics/visualization software for genomics and an understanding of the principals and use of biostatistics as applied to molecular level data.
- Experience with large-scale computational and statistical analyses.
- Experience in analysis of microarray data as well as integrative analysis approaches
- Experience with using computational and statistical tools (for example: bwa, samtools, Picard, GATK, bedtools, R, etc.)
- Experience with Unix/Linux computing environment, data management and organization, and general programming
- knowledge and ability to automate tasks using scripting languages such as bash, perl, python, R, or Java.
- Experience with large-scale computational cluster job submissions (SGE or PBS) for high-throughput data analysis.
- Experience with several of the following activities is desirable: proteomic analysis, phylogenetic analysis, comparative genomics, SNP and CNV analysis, trancriptomic and epigenomics data analysis and an understanding of emerging and commonly used bioinformatics tools.
There will be opportunities for training to complement current skills, and we envision numerous collaborations with other outstanding computational scientists at the Institute for Computational Biomedicine. Hence, good relational and communication skills are highly desirable.
- Appointments are for one year, with renewal based upon satisfactory performance and funding availability.
- Please send cover letter, one select publication and resume, including names of three references, to:
| Attn: Francine Garrett-Bakelman, MD, PhD E-MAIL: [email protected] |