Postdoctoral Associate | Beck Lab

About the role

The Beck Lab is seeking an enthusiastic, independent, and highly motivated postdoctoral fellow to join our innovative research group at the Jackson Laboratory for Genomic Medicine and University of Connecticut Health Center in Farmington, CT. The Beck lab uses and develops genomic and transcriptomic techniques to identify variation within repetitive and complex regions of mammalian genomes. As a postdoctoral fellow in the Beck lab, you would lead projects examining the mechanisms and consequences of structural variants across human and mammalian organisms.

To accomplish these goals, the fellow will analyze existing genomic and transcriptomic data with computational tools to identify novel loci of interest, and will execute laboratory experiments to test the consequences of genomic variation. Fluency with multiple experimental techniques coupled with ability or a willingness to learn Python or R and common bioinformatics tools is required to carry out analyses and prepare results for publication. Experience with cell culture, and in particular iPSCs, will be beneficial for these projects.

Key Responsibilities

• Conduct cell culture, molecular biology and biochemistry experiments
• Maintain lab equipment, reagents, and follow safety protocols
• Author manuscripts and grant applications
• Present results at lectures and conferences
• Use bioinformatics tools to analyze genomic and transcriptomic data from human and mouse samples
• Interpret variation, variant mechanisms, and the effect of variants on transcription
• Contribute to project planning and implementation
• Perform data curation and maintain documentation
• Generate reproducible analysis and properly use statistics to support observations
• Collaborate with a multidisciplinary team of researchers who perform bench and computational experiments

Preferred/bonus skills

• Experience with iPSC culture and differentiation
• Knowledge of structural variation and variant mechanisms
• Experience using computational libraries for tabular data and statistical analysis
• Experience executing jobs and pipelines in a high-performance computing cluster
• Experience working in a Linux command-line environment

Qualifications

• PhD in Physiology, Molecular Biology, Genetics, Biomedical Engineering, or a related field
• Strong publication record in peer-reviewed journals
• Excellent communication and teamwork skills, with the ability to work independently and collaboratively
• Experience using statistical inference to support results

Additional information

Application Instructions: Please submit your current CV, at least 2 letters of reference, and a 1-page (maximum) statement

• JAX Salary: Year 0 - 1: $65,589
• Year 1 - 2: $67,318
• Year 2 - 3: $69,095
• Year 3 - 4: $70,521
• Year 4 - 5: $72,877
• Year 5 - 6: $75,569
• Based on years of experience as Postdoc