Computational Postdoctoral Associate

Carter Lab

Bar Harbor, ME or Farmington, CT

The Carter Lab has an opening for a postdoctoral associate in the computational biology of Alzheimer’s disease. This position will be part of our ongoing studies that seek to understand the origins, progression, and potential treatments of Alzheimer’s disease through multiple experimental platforms.

This position will be focused on a new collaborative project to characterize donor-derived organoid models and assess their utility in precision medicine approaches to treating Alzheimer’s disease. This process encompasses a range of computational and systems biology approaches, including big data analysis through dimensional reduction, inference of disease relevance by comparison to matched human data, and pharmacogenomic analysis of targeted therapies. This project is embedded in a broader set of studies using mouse and non-human primate models to enable unique cross-species analysis to accelerate the discovery of treatments for dementia.

We are especially interested in candidates with systems biology expertise seeking to develop innovative ideas in translational data analysis. Our collaborative, consortium-based environment provides a rich data environment and opportunities for follow-up experimentation. We are dedicated to open science and establishing an inclusive culture to expand our vision of scientific progress.

The Jackson Laboratory provides excellent educational and training opportunities for JAX Postdoctoral Associates. Exceptional candidates are encouraged to apply for the prestigious JAX Scholar award, which supports promising early-career postdoctoral associates conducting cutting edge biomedical and basic biological research at JAX. The award includes an independent research and travel budget and a salary above our standard postdoctoral scale.

To apply, please submit 1) a cover letter outlining research accomplishments and interests, 2) a current CV, and 3) names and contact information for three references.

Responsibilities:
The successful candidate will perform independent computational analyses of multiple data sets to prioritize molecular hypotheses of Alzheimer’s disease development. They will document and report results to center colleagues for collaborative experimental validation. They will lead efforts to disseminate research results including all data and analysis via publications, data sharing, and presentations to consortium peers and at scientific meetings. Postdocs are also expected to participate in the broader Jackson Laboratory community to foster their career development and progression.

Qualifications:

• Ph.D. in bioinformatics, computational biology, biostatistics, or related field is required;
• Exceptional verbal and written communication skills;
• Demonstrates ability to be collaborative across disciplines; and
• Demonstrated writing ability as evidenced by significant contribution/leadership role in bringing a minimum of one 1st author paper from graduate work to publication.

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

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​​​​​​​.