Postdoctoral Associate

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 and to examine the mechanisms and consequences of these variants.

The postdoctoral fellow will analyze genomes and transcriptomes with computational tools and execute laboratory experiments for testing the consequences of genomic variation. Fluency with 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 iPSCs is desirable but not required.

Key Responsibilities:

• Computational analysis of human and mouse genomes using genomic and transcriptomic data
• Analysis of variation, variant mechanisms, and the effect of variants on transcription
• Contribute to project planning and implementation
• Rigorous maintenance of data curation, documentation and data analysis/statistics
• Maintenance and proper handling of lab equipment and safety protocols
• Author manuscripts and grant applications
• Present results at lectures and conferences
• Collaboration within a multidisciplinary team of researchers who perform bench and computational experiments

Preferred/bonus skills:

• Experience designing and executing experimental protocols
• Experience with iPSC culture and differentiation
• Knowledge of structural variation and variant mechanisms
• A thorough working knowledge of Python or R
• 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.
• Prior research experience in mouse/rodent models of cardiovascular disease and cardiac physiology is strongly preferred.
• Strong publication record in peer-reviewed journals.
• Excellent communication and teamwork skills, with the ability to work independently and collaboratively.
• Experience with statistical and bioinformatics tools (e.g., R, Python).
• 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 andChina. 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 visitwww.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.