The Talkowski Laboratory in the Center for Genomic Medicine (CGM) at Massachusetts General Hospital (MGH) and the Broad Institute is seeking a highly motivated, enthusiastic candidate to join our research group. The position would involve a leadership role in the functional genomics group to perform analyses of genomics datasets related to human congenital anomalies and neurodevelopmental disorders. The candidate will lead projects jointly with collaborating laboratories to investigate the functional consequences of genomic variation using various data types, including whole-genome sequencing, bulk and single-cell transcriptome sequencing (10X and inDrop), ChIP-sequencing, and other data types. The candidate will be located at the Simches Research Center at MGH with part-time space at the Broad Institute in close interaction with the Data Sciences Platform / GATK group, the Stanley Center for Psychiatric Research, and the Program in Medical and Population Genetics. The candidate will be expected to interact closely with several collaborating laboratories and consortia, as well as students, postdocs, and staff across the CGM and Broad Institute.
PRINCIPAL DUTIES AND RESPONSIBILITIES:
- Perform complex data acquisition, storage, cleaning, and pre-processing
- Performs advanced quantitative statistical analysis methods
- Dissemination of results via presentation and publications.
- Computational biology and statistical genetics consultant and resource for center and department.
Apply online here: https://partners.taleo.net/careersection/ghc/jobdetail.ftl?job=3077237
PhD degree strongly preferred; Exceptional candidates with an MS and extensive experience in genomics analyses would be considered.
2-5 years of experience in large-scale data analyses preferred, exceptional recent graduates will be considered.
- Advanced skillset in computational biology, bioinformatics, statistics, or genomics.
- Advanced knowledge of statistical association analyses and approaches in genomics studies
- Experience in cloud-based computing preferred
- Must be able to work independently as well as part of a team in a fast-paced, highly collaborative and supportive environment
- Ability to adapt to shifting priorities in response to changing deadlines and the needs of the lab
- Excellent written and verbal communication skills
- Excellent organizational skills
- Excellent quantitative and organizational skills
- Proven ability to work well in collaborative environment
- Proficiency in complex data mining, database management, biostatistics, and computer programming.