at The Jackson Laboratory in Bar Harbor, Maine, United States
The Carter Lab focuses on computational and big data approaches to understanding Alzheimer's disease. We are seeking a Bioinformatics Analyst to join our research in the genetics and genomics of dementias. This position will be part of our ongoing studies to understand the origins, progression, and potential treatments of Alzheimer's disease using multiple experimental platforms. We work with a range of biological models including cells, mice, and non-human primates, which creates a multi-species platform for translatable disease research.
This work is funded through multiple federally funded consortia within the NIA's Alzheimer's Disease Translational Research Program, in which we lead computational efforts in the , , and centers. Together, these form a collaborative network in which data can be analyzed, re-analyzed, and re-used to answer evolving questions regarding aging and Alzheimer's etiology.
We strive to maximize the distribution of data, analyses, and resources in an open science ecosystem. This role is focused on the design, creation, and maintenance of interactive online resources to disseminate study data, analyses, and summary results. We aim to provide comprehensive analyses and results arising from multi-omic studies in digestible formats to complement traditional research publications. Examples of such resources include:
We are dedicated to open science and establishing an inclusive culture to expand our vision of scientific progress. Data scientists with experience and enthusiasm to operate in the rapidly evolving open data ecosystem are especially encouraged to apply.
Designing and creating online data resources to disseminate bespoke research data, workflows, and results to the scientific community.
Working with research team members to implement and document novel analytical workflows.
Interfacing with academic and non-profit research partners for integrated and harmonized data sharing.
Liaising with experts in Information Technology to maintain cloud-based resources.
Interacting with users to optimize the understanding and uptake of research results.
Maintaining updated knowledge of technologies and practices that facilitate open data dissemination.
BS or MS degree in Statistics, Computer Science or a relevant quantitative sciences. Incumbents who have not achieved an MS degree may compensate for lack of a degree with at least five years of professional bioinformatics work experience. Works under close supervision.
Expertise in creating custom dashboards and notebooks using RStudio/Posit or similar tools is required.
Prior experience in genetics and genomic analyses, data curation, data visualization, and R scripting.
Experience in Alzheimer's disease research is preferred but not required.
The salary range for this position is $73,305 - $122,730. Salary will be determined based on qualifications and experience.
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 visit.
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.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status.