Postdoctoral Associate | Beck Lab
The Jackson Laboratory, Farmington, CT, United States
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
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
EEO Statement:
The Jackson Laboratory provides equal employment opportunities to all employees and applicants for employment in all job classifications without regard to race, color, religion, age, mental disability, physical disability, medical condition, gender, sexual orientation, genetic information, ancestry, marital status, national origin, veteran status, and other classifications protected by applicable state and local non-discrimination laws.
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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
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
EEO Statement:
The Jackson Laboratory provides equal employment opportunities to all employees and applicants for employment in all job classifications without regard to race, color, religion, age, mental disability, physical disability, medical condition, gender, sexual orientation, genetic information, ancestry, marital status, national origin, veteran status, and other classifications protected by applicable state and local non-discrimination laws.
#J-18808-Ljbffr