Postdoctoral Associate | RNA Biology

Postdoctoral Position - RNA Biology & Cancer

Dr. Olga Anczuków, PhD, Associate Professor and Cancer Center Research Program Co-Leader

The Jackson Laboratory for Genomic Medicine, CT

We are looking for talented postdoctoral candidates to investigate how misregulation of alternative RNA splicing contributes to human disease, with a specific focus on cancer. The positions are fully funded through two NIH grants, and awaiting the proper, enthusiastic applicant.

Our research goals are to: i) define the molecular pathways that regulate splicing factors in normal and cancer cells, as well as during cell differentiation; ii) uncover causal splicing alterations in breast tumors; and iii) identify splicing factors and spliced isoforms which could be used as biomarkers to predict disease progression or drug-response, or as targets for RNA-based therapeutics. Our research uses 3D cell culture models, mouse models including patient-derived xenograft, as well as large clinical datasets, and leverages cutting-edge approaches such as RNA-targeting CRISPR, short- and long-read RNA-sequencing, and single-cell approaches, to decipher the role of spliced isoforms and their regulators.

Our research group, consisting of a postdoctoral associate, two graduate students, and two research associates, is diverse and collaborative. We seek to produce top notch science and foster the development of outstanding, independent scientists through nurturing mentorship and interdisciplinary, collaborative efforts. We have close collaboration with members of the JAX NCI-designated Cancer Center and the Nathan Shock Excellence of Research on Aging Center.

For more, visit the Anczuków Lab online.

Qualifications:

* PhD (or nearing completion of PhD degree).
* Track record of productivity supported by accepted or in press first-author publications in peer-reviewed journals.
* Experience in RNA biology and/or cancer research.
* Outstanding writing and communication skills, with an ability to work both independently and within collaborative teams productively.
* Required experience with mammalian cell culture, and basic molecular biology techniques such as molecular cloning, RNA extraction, PCR, qPCR, western blotting, and microscopy.
* Experience with computational analysis of sequencing data is a plus.

How to apply: Interested and qualified individuals should send a current CV, a 1-page Statement of Research Interests and Career Goals, and contact information for 3 references to Dr. Olga Anczukow at olga.anczukow@jax.org.

Candidates will be encouraged to apply for competitive foundation and federal training fellowships and awards. Exceptional candidates also have the opportunity to become a JAX Postdoctoral Scholar, a selective award that includes an independent research budget, travel funds, and a salary above the standard postdoctoral scale.

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 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.