The EIPM seeks a highly motivated Postdoctoral Fellow or Associate Research Scientist with an expertise in Computational Biology. The candidate will apply state-of-the-art computational methods to analyze large-scale sequencing data, including whole genome sequencing, interpret genetic variants, and identify novel human disease genes. The candidate will lead one or two of the major human genetics projects in the lab, focused on the following disease areas: cardiovascular, metabolic disease, neurodegenerative disorders, or cancer.
Responsibilities
- Lead bioinformatics projects to translate NGS data, as well as public and internal genomic, phenotype, and clinical/EMR datasets, to novel discoveries on a path to clinical utility.
- Publish and present novel findings in academic journals and conferences.
- D. with a background in cancer biology, bioinformatics or computational biology, or related fields.
- For bioinformatics postdoctoral and research analyst positions, experience in statistical and programming languages (e.g., R, Python, Perl), experience in computational biology applications (e.g. bwa, samtools, GATK, etc.), and next-generation sequencing are required. The position offers opportunities for close collaboration with the world-class bioinformatics team at the Englander Institute for Precision Medicine.
- High proficiency of Unix/Linux systems and code versioning tools.
- Experience with code development, optimization, automation, and testing, using common version control solutions e.g. git.
- Basic knowledge of molecular biology and genomics.
- Knowledge of containerization platforms (e.g. Docker, Singularity).
- Evidence of productivity from publications originating from Ph.D. or postdoctoral work.
- The position requires the ability to work with a heterogenous group of basic scientists, molecular biologists, physician scientists, computational biologist, data scientists, lab technicians, medical and graduate students. Hence, it requires excellent verbal and written communication skills.
- Excellent organizational skills, self-motivation, and creativity.
Qualifications
- PhD in Bioinformatics, Biomedical Informatics, Computational Biology, Genomics, or a related discipline requiring strong computational and analytical skills supplemented with biology background
- Extensive knowledge of using high-performance computing clusters, including common scheduling systems (e.g. OGE, slurm, etc.)
- Experience working with cloud computing infrastructures will be a plus, especially on Amazon AWS
- Knowledge of workflow languages, e.g. CWL, Nextflow or equivalent is a plus.
- Knowledge of agile software development preferred.
- Well-versed in the art of effective communication on interdisciplinary teams (scientists, programmers, and clinicians), especially graphical communication about high-complexity datasets to scientific audiences from different backgrounds.
- High self-motivation, great ability to work in both multiple-task and independent fashions.
Applications
Motivated to pursue postdoctoral training required for a future independent academic career. Candidates who meet the above criteria are encouraged to apply. Please email CV, statement of research interests, copies of previous publications, and the names and contact information for three references.