The Jackson Laboratory

Job Listings

Welcome to our employment section. Here you can view our current job openings and apply for positions online.

 

Helpful tips: 

Please add "agents.icims.com" to your safe sender list or address book to ensure that you do not miss important communications from us. If you experience issues, please contact recruiters@jax.org.

 

Connect with Us!

Not ready to apply? Connect with us for general consideration.

 

Job Listings

You can view all open positions or use the following search form to find jobs that suit your specific career interests. For best search results, enter keyword(s) into the “Start your job search here” field rather than using the Category drop-down. For example, searching on “finance” will show you all positions that pertain to finance, which may not be in the Finance Department.

 

If you are interested in Animal Care or Operation opportunities please click here.

If you are already a JAX employee click here.

Use this form to perform another job search

The system cannot access your location for 1 of 2 reasons:
  1. Permission to access your location has been denied. Please reload the page and allow the browser to access your location information.
  2. Your location information has yet to be received. Please wait a moment then hit [Search] again.
Click column header to sort

Search Results Page 3 of 3

Job Locations US-CT-Farmington
Posted Date 2 months ago(4/28/2020 5:48 PM)
Associate/Full Computational Scientist Structural Variation (SV)     The Jackson Laboratory for Genomic Medicine in Farmington, CT is seeking a Computational Scientist to join the Lee laboratory; this is an opportunity to be involved in the use of state-of-the-art technologies to study the structural genomic variation in human biology, evolution and disease.   The Computational Scientist will work closely with a team of scientists involved in the ongoing studies which includes; accurate identification and characterization of structural variation (SV) in human and other vertebrate genomes, the development of new algorithm/approach for SV detection, and understanding genome evolution in vertebrate species and its impact on genome stability.   In addition, the Computational Scientist will be involved in exciting research programs analyzing large numbers of human genomes, activities, consortium activities, and collaborations as assigned by the PI of the lab to the extent assigned. They work closely, and are not limited to, helping interns, post-doctoral fellows, scientists and grant writing. Furthermore, they will present results to others, and have many interactions at national and international conferences and workshops.
Job ID
2020-27686
Job Locations US-ME-Bar Harbor
Posted Date 2 months ago(4/27/2020 1:23 PM)
The Ke Lab is seeking a postdoctoral associate at The Jackson Laboratory in Bar Harbor, Maine. The lab focuses on RNA, a central node of genetic information flow from DNA to protein. Malfunction of RNAs leads to many human diseases, including neurological diseases and cancer. To thoroughly address fundamental molecular mechanism of RNA, the Ke lab utilizes multidisciplinary approaches, including cutting-edge computational biology, biochemistry, innovative bio-technologies, genetics and molecular biology. We are especially interested in m6A RNA biology: 1) the fundamental mechanism of m6A RNA biology, and 2) the biological effects of m6A regulation in nerve system, using mouse and human iPS models. (References: 1] Ke, S. et al. m6A mRNA modifications are deposited in nascent pre-mRNA and are not required for splicing but do specify cytoplasmic turnover, Genes & Development 2017, 31: 990-1006; 2] Ke, S. et al. A majority of m6A residues are in the last exons, allowing the potential for 3' UTR regulation, Genes & Development 2015, 29:2037-53.)  To learn more about the Ke Lab, please visit: https://www.jax.org/research-and-faculty/faculty/shengdong-ke.
Job ID
2018-25557
Job Locations US-CT-Farmington
Posted Date 2 months ago(4/27/2020 8:55 AM)
Postdoctoral Associate – Computational Cancer Biology Li Lab   Dr. Sheng Li’s lab at JAX-GM in Hartford, CT area is seeking a computational biology postdoctoral associate who is interested in studying cancer functional genomics. The Li Lab’s primary interests are computational biology and machine learning with a focus on functional genomics in normal and cancer systems. For additional information, visit the Li Lab online.    Key Responsibilities: -  Develop principled methods, based on machine learning and advanced statistical modeling techniques to address biological questions. -  Analyze massive functional genomics data at single cell and population levels. Requirements: - PhD in Computational Biology, or related quantitative area. - A strong background in machine learning or substantial experience analyzing large genomic datasets. - Programming experience in R, Python, or C++. - Publications in peer-reviewed journals. - Strong problem-solving skills, excellent communication skills, and enthusiastic about science.   Salary is competitive and will be supplemented with funding for computational equipment and for attending national and international conferences.    The Jackson Laboratory (JAX, www.jax.org) is a nonprofit biomedical research institute with over 2,000 employees whose mission is to discover precise genomic solutions for human disease and empower the global biomedical community in the shared quest to improve human health. A National Cancer Institute-designated Cancer Center, JAX has a mammalian genetics headquarters in Bar Harbor, Maine, a facility in Sacramento, California, and a genomic medicine facility, The Jackson Laboratory for Genomic Medicine (JAX-GM), in Farmington, Connecticut.   JAX-GM is transforming medicine by improving patient care, lowering costs, and increasing life span and health span. JAX-GM’s research focuses on the complex genetic causes of disease and on the development of genomic solutions tailored to each person's unique genetic makeup.   JAX-GM sits on a 17-acre site on the campus of the University of Connecticut Health Center. The 183,500-square-foot facility opened in the fall of 2014. Now, it houses over 300 biomedical researchers, technicians, and support staff in state-of-the-art computing facilities and laboratories.   JAX-GM resides in the scenic town of Farmington, in the state’s capitol region. The Hartford region, which offers some of the best public schools in the country, is made up of both bigger cities and smaller, charming historic New England towns. JAX-GM is also geographically located within 2 hours of Boston and New York and is close to multiple transportation systems, including bus lines, highways, railroads and international airports. JAX employees work in a collaborative, value-driven, and team-based environment where the focus is on advancing science and improving patients’ lives. Researchers apply genetics to increase the understanding of human disease and advance treatments and cures for cancer, neurological and immune disorders, diabetes, aging, and heart disease. JAX was voted among the top 15 “Best Places to Work in Academia” in the United States in a poll conducted by The Scientist magazine!   Our Values: INTEGRITY - Courage and commitment to do what is right PEOPLE - Inspiring our people to enhance the health of all ONE TEAM - Unified by our promise to transform medicine and science EXCELLENCE - Achieving world-class results INNOVATION - Leading with discovery and creative solutions STEWARDSHIP - Caring for and enhancing the resources entrusted to us   What do we have to offer? JAX offers a dynamic and supportive work environment, competitive salaries, and a comprehensive benefits package, including a medical plan, outstanding retirement plan, generous paid time off, and tuition reimbursement including an MBA program. Our campus offers a fitness center with an award-winning wellness program and an onsite full service cafeteria.   Most importantly, every position contributes to JAX’s mission of discovering precise genomic solutions for human disease and empowering the global biomedical community in our shared quest to improve human health.   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.   Learn more about career opportunities at JAX: http://www.jax.org/careers.
Job ID
2019-27422
Job Locations US-CT-Farmington
Posted Date 2 months ago(4/27/2020 8:33 AM)
Postdoctoral position available in Multi-omics data analysis in immunology PI: Shuzhao Li, Ph.D. The Jackson Laboratory for Genomic Medicine Farmington, CT   The Li lab at The Jackson Laboratory’s Genomic Medicine campus in Farmington CT, is seeking an independent, driven PhD-level scientist (<2 years previous postdoc experience) in computational systems biology, especially in the area of integrating transcriptomics, metabolomics, proteomics, lipidomics and microbiome in immunological projects. Our goal is to model human immune system through multi-omics and multiscale data. This involves data collected from vaccine and infection studies, and from NIH data repositories. We employ statistical, data mining and machine learning approaches. The new immunometabolomics program we are building at JAX will add high-resolution chemistry into the field of systems immunology.   Qualifications: • PhD in bioinformatics, computational biology, systems biology, or other quantitative science • experience in programming language (such as Python or R) and omics data analysis. • Experience in cloud computing • Track record of productivity supported by first-author publications in peer-reviewed journals • Outstanding writing and communication skills, with an ability to work both independently and within collaborative teams productively   Candidates will be expected 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.   Interested and qualified individuals should send a current CV, a 1-page (maximum) Statement of Research Interests and Career Goals, and contact information for 3 references to Dr. Shuzhao Li at shuzhao.li@gmail.com. Our research group is diverse and collaborative, and we seek to produce top notch science and foster the development of outstanding, independent scientists through critical but nurturing mentorship and interdisciplinary, collaborative efforts.
Job ID
2020-27533
Job Locations US-CT-Farmington
Posted Date 2 months ago(4/27/2020 8:33 AM)
Postdoctoral position available in metabolomics PI: Shuzhao Li, Ph.D. The Jackson Laboratory for Genomic Medicine Farmington, CT SUMMARY We are looking for a talented Postdoctoral associate to apply mass spectrometry based metabolomics to genomic medicine, and to develop novel methods and applications.   The ideal candidate will have a deep understanding of mass spectrometry and metabolomics, and a passion to impact biomedical research and practice. The incumbent will work closely with a team of chemists, biologists and computational scientists. The Jackson Laboratory provides unparalleled support of professional development. Metabolomics has evolved to a stage to employ rich data to guide experimental design and method development. The Li lab has recognized strengths in computational methods, integration with big data, and cutting-edge applications to human immunology and ImmunoMetabolomics. This position has the unique opportunity to interface with large scale projects on genomics, transcriptomics, microbiome, single cell technologies and cellular engineering, and to take leadership in innovations.   Qualifications: • Recent PhD related to metabolomics, mass spectrometry, analytical chemistry • Experience in LC-MS, MS/MS, compound identification, isotope tracing • Experience in Orbitrap instruments is advantageous • Experience in metabolomics data processing and analysis • Track record of productivity supported by first-author publications in peer-reviewed journals • Outstanding writing and communication skills, with an ability to work both independently and within collaborative teams productively   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.   Interested and qualified individuals should send a current CV, a 1-page (maximum) Statement of Research Interests and Career Goals, and contact information for 3 references to Dr. Shuzhao Li at shuzhao.li@jax.org.   Our research group is diverse and collaborative, and we seek to produce top notch science and foster the development of outstanding, independent scientists through critical but nurturing mentorship and interdisciplinary, collaborative efforts.
Job ID
2020-27534
Job Locations US-ME-Bar Harbor
Posted Date 3 months ago(4/21/2020 11:30 AM)
The Tewhey Lab at The Jackson Laboratory in Bar Harbor, Maine is seeking a Postdoctoral associate to join our team of scientists working to understand the precise genetic mechanisms underlying complex traits, and the impact human genetic variation has on gene regulatory function. Our group develops and applies novel high-throughput genetic techniques (e.g. MPRA and CRISPR based screens) to comprehensively characterize non-coding regions of the genome, in both mouse and human, to interpret the regulatory grammar of gene expression.    
Job ID
2018-25153
Job Locations US-ME-Bar Harbor
Posted Date 3 months ago(4/21/2020 11:29 AM)
The Kaczorowski Lab at The Jackson Laboratory is seeking a Postdoctoral Associate to investigate mechanisms underlying susceptibility and resilience to normal aging and Alzheimer’s disease (https://www.neuro-central.com/2018/09/19/risk-resilience-understanding-role-genetics-alzheimers-disease/).  Dr. Kaczorowski is an Associate Professor and the Evnin Family Endowed Chair in Alzheimer’s Research at the Jackson Laboratory – a research institution specializing in genetics and genomics in order to discover solutions for disease. Projects leverage novel mouse models, in vitro slice electrophysiology, circuit mapping and genome engineering to understand how genetic and environmental factors interact to influence learning and memory, cognitive aging, neurodegeneration, and Alzheimer’s. Sources of support include NIH, BrightFocus, The Glenn Foundation for Medical Research, as well as generous philanthropy awards in support of research and innovation in areas of normal aging and Alzheimer’s Disease.   Exceptional candidates will have the opportunity 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 (https://www.jax.org/education-and-learning/pre-and-postdoctoral-program/jax-scholars    
Job ID
2018-24771
Job Locations US-ME-Bar Harbor
Posted Date 3 months ago(4/6/2020 8:14 AM)
This is a key technical role in supporting the Genetic Engineering Technologies (GET) molecular and cellular laboratory capabilities. This individual may have a greater focus on either molecular or cellular biology or may be cross trained to support both areas. This individual should be capable of understanding molecular design/processes, executing the necessary molecular lab protocols criticial to the creation, and validation of, genetically engineered animals. This individual reports to the Molecular Biology lab manager in GET. The Technician also works in tight alignment with GET Study Directors and other GET staff members to ensure rapid turnaround of high quality molecular data. They are expected to identify and pursue process improvements to increase capabilities and capacity. This position may occasionally require non-standard working hours (weekends).
Job ID
2020-27722
Job Locations US-ME-Bar Harbor
Posted Date 5 months ago(2/11/2020 7:40 AM)
A postdoctoral associate position is available in the laboratory of Dr. Jennifer Trowbridge at The Jackson Laboratory in Bar Harbor, Maine, to study epigenetic mechanisms governing hematopoietic stem cell lineage commitment and how deregulation of epigenetic modifications leads to myeloproliferative disorders including leukemia. The Trowbridge Lab offers a challenging but supportive environment. Past trainees have a noteworthy track record for obtaining grant funding and fellowships. For more information, please visit: https://trowbridgelab.com.
Job ID
2018-25929
Job Locations US-CT-Farmington
Posted Date 6 months ago(12/30/2019 11:18 AM)
Associate Research Scientist Chuang Lab   Computational biology is critical not only to the processing and manipulation of data, but to the scientific discovery process itself. Our lab empowers computational biologists to make discoveries by providing a rich work environment for computational/mathematical analysis of biological systems, access to novel data and computational infrastructure, resources to conduct new experimental measurements, and partnerships with experimental colleagues with shared interests. As of December 2019, the Chuang Lab is seeking a scientist to join our projects combining computational and experimental approaches to study cancer. This project is being considered primarily at the level of a postdoctoral fellow, but scientists with prior postdoctoral experience and relevant expertise may be considered at the associate research scientist level upon discussion. Our current projects are at the intersections of cancer biology, machine learning, genomics, image analysis, and pathology. This is a fast-moving field with tremendous opportunities to understand cancer and impact patient outcomes. New team members will have unique opportunities to investigate mechanisms of cancer, to design new studies, and to develop novel artificial intelligence approaches to mine these data. Our lab seeks to understand how tumor ecology and evolution impact susceptibility and response to immunotherapy, targeted therapy, and chemotherapy. We interrogate these questions by generating data from clinical samples and model systems (xenografts, organoids) and by mining large cancer genomic and imaging datasets using techniques such as deep learning and evolutionary modeling. This position is supported by an R01 grant from the NCI awarded through 2023. While our lab focuses on computational approaches, we also generate our own data by making use of the extensive scientific services at JAX and in collaboration with many experimental colleagues. These include clinical and experimental groups at JAX (Robson, Palucka, Liu, Anczukow-Camarda, et al.) and with external partners (NCI PDXNet, Yale, Northwestern, UCSD, et al). We have particular access to patient-derived xenografts (PDXs) due to Prof. Chuang's position as co-PI of the National Cancer Institute's PDXNet Consortium Data Commons and Coordination Center, in addition to the extensive data and experimental resources for PDXs at JAX. Thus candidates will have novel opportunities at the intersection of data interpretation, algorithms, and experimental design. For this position, the ideal candidate will have Ph.D. experience in computational biology, cancer biology, evolutionary biology, digital pathology, or a similar discipline. Outstanding applicants new to computational biology will also be considered as the lab has an extensive record of training candidates who originally studied in other fields, including physics, applied math, computer science, electrical engineering, and experimental molecular biology. A particular area of growth for the lab is the combination of genomic and pathological analysis, and those with a medical background in pathology but a strong interest in computational approaches are encouraged to apply. Computing (programming, data analysis, statistical inference, etc), publication, and communication skills will be essential. Across these backgrounds, enthusiasm and aptitude for computational biology are what define the lab.
Job ID
2019-27442
Job Locations US-CT-Farmington
Posted Date 7 months ago(12/6/2019 11:35 AM)
Computational Postdoctoral Associate Chuang Lab   Computational biology is critical not only to the processing and manipulation of data, but to the scientific discovery process itself. Our lab empowers computational biologists to make discoveries by providing a rich work environment for computational/mathematical analysis of biological systems, access to novel data and computational infrastructure, resources to conduct new experimental measurements, and partnerships with experimental colleagues with shared interests.   As of December 2019, the Chuang Lab is seeking a postdoctoral scientist to join our projects combining computational and experimental approaches to study cancer. Our current projects are at the intersections of cancer biology, machine learning, genomics, image analysis, and pathology. This is a fast-moving field with tremendous opportunities to understand cancer and impact patient outcomes.   New team members will have unique opportunities to investigate mechanisms of cancer, to design new studies, and to develop novel artificial intelligence approaches to mine these data. Our lab seeks to understand how tumor ecology and evolution impact susceptibility and response to immunotherapy, targeted therapy, and chemotherapy. We interrogate these questions by generating data from clinical samples and model systems (xenografts, organoids) and by mining large cancer genomic and imaging datasets using techniques such as deep learning and evolutionary modeling. This position is supported by an R01 grant from the NCI awarded through 2023.   While our lab focuses on computational approaches, we also generate our own data by making use of the extensive scientific services at JAX and in collaboration with many experimental colleagues. These include clinical and experimental groups at JAX (Robson, Palucka, Liu, Anczukow-Camarda, et al.) and with external partners (NCI PDXNet, Yale, Northwestern, UCSD, et al). We have particular access to patient-derived xenografts (PDXs) due to Prof. Chuang's position as co-PI of the National Cancer Institute's PDXNet Consortium Data Commons and Coordination Center, in addition to the extensive data and experimental resources for PDXs at JAX. Thus candidates will have novel opportunities at the intersection of data interpretation, algorithms, and experimental design.   For this position, the ideal candidate will have Ph.D. experience in computational biology, cancer biology, evolutionary biology, digital pathology, or a similar discipline. Outstanding applicants new to computational biology will also be considered as the lab has an extensive record of training candidates who originally studied in other fields, including physics, applied math, computer science, electrical engineering, and experimental molecular biology. A particular area of growth for the lab is the combination of genomic and pathological analysis, and those with a medical background in pathology but a strong interest in computational approaches are encouraged to apply. Computing (programming, data analysis, statistical inference, etc), publication, and communication skills will be essential. Across these backgrounds, enthusiasm and aptitude for computational biology are what define the lab.   Interested and qualified individuals should send a current CV, a 1-page (maximum) Statement of Research Interests and Career Goals, and contact information for 3 references to Dr. Jeff Chuang at jeff.chuang@jax.org
Job ID
2019-27402