Postdoctoral Associate | Beck Lab
The Jackson Laboratory
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Farmington, CT
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Entry level
Posted March 11, 2026
Job link
Thinking about this job
Responsibilities
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
Not Met Priorities
What still needs stronger evidence
Requirements
- 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.
- Knowledge of structural variation and variant mechanisms
- Experience executing jobs and pipelines in a high-performance computing cluster
- Experience working in a Linux command-line environment
- 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
Preferred Skills
- 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.
- 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
- PhD in Physiology, Molecular Biology, Genetics, Biomedical Engineering, or a related field
- Strong publication record in peer-reviewed journals
Education
- (Not required) – PhD in Physiology, Molecular Biology, Genetics, Biomedical Engineering, or a related field
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
About JAX
The Jackson Laboratory is an independent, nonprofit biomedical research institution with a National Cancer Institute-designated Cancer Center and nearly 3,000 employees in locations across the United States (Maine, Connecticut, California), Japan and China. Its mission is to discover precise genomic solutions for disease and empower the global biomedical community in the shared quest to improve human health.
Founded in 1929, JAX applies over nine decades of expertise in genetics to increase understanding of human disease, advancing treatments and cures for cancer, neurological and immune disorders, diabetes, aging and heart disease. It models and interprets genomic complexity, integrates basic research with clinical application, educates current and future scientists, and provides critical data, tools and services to the global biomedical community. For more information, please visit www.jax.org .
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.
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
About JAX
The Jackson Laboratory is an independent, nonprofit biomedical research institution with a National Cancer Institute-designated Cancer Center and nearly 3,000 employees in locations across the United States (Maine, Connecticut, California), Japan and China. Its mission is to discover precise genomic solutions for disease and empower the global biomedical community in the shared quest to improve human health.
Founded in 1929, JAX applies over nine decades of expertise in genetics to increase understanding of human disease, advancing treatments and cures for cancer, neurological and immune disorders, diabetes, aging and heart disease. It models and interprets genomic complexity, integrates basic research with clinical application, educates current and future scientists, and provides critical data, tools and services to the global biomedical community. For more information, please visit www.jax.org .
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.