Bioinformatics Analyst I - Carter Lab

Job Summary:

The Carter Lab is seeking a Bioinformatics Analyst to join our research in the genetics and genomics of Alzheimer’s disease. This position will focus on using bioinformatics and computational biology analyses to formulate network-level therapeutic hypotheses to drive the development of new treatments. This analysis is a critical component of our goal to integrate diverse data resources, screen candidate compounds, and translate findings into preclinical tests using precision mouse models of disease. This work will be performed as part of two NIA-funded projects, the Emory/Sage/SGC TREAT-AD center (treatad.org) and IU/Jax/Pitt MODEL-AD center (model-ad.org), that bring together researchers from more than a dozen institutions to develop new approaches to understanding and treating late-onset Alzheimer’s disease. These centers are components of a major open science initiative to understand and treat Alzheimer’s disease that includes the AMP-AD, ADNI, and ADSP research consortia.

We are especially interested in candidates with systems biology expertise in model organisms who are seeking to apply their innovative ideas in a translational setting. The structure of TREAT-AD and MODEL-AD enable collaborative follow-up experimentation and refinement of computational hypotheses. We are dedicated to open science and establishing an inclusive culture to expand our vision of scientific progress.

What You'll Contribute

• Mining genome-scale data and interpreting results.
• Performing statistical analysis, algorithm implementation, data visualization, and bioinformatics programming; packaging and interpreting results.
• Developing novel computational strategies for big data integration.
• Coordinating data analysis across multiple collaborating institutions.
• Mentoring junior-level colleagues.
• Assisting in research planning.
• Assisting in data dissemination.
• Contributing to publications and presenting at seminars and conferences.

What You're Good At:

• BS degree in Bioinformatics or relevant biological sciences degree + five years of professional bioinformatics work experience or MS degree in Bioinformatics or relevant biological sciences degree. Works under close supervision. PhD degree preferable in computer science, bioinformatics, or a related field preferred
• Experience with R is required, other languages such as Python are recommended
• Experience with algorithm development in areas such as machine learning, genomics, statistics
• Experience with genomic data is strongly recommended
• Knowledge of genetics, neuroscience, and Alzheimer’s disease are desired but not required
• Ability to read scientific literatures in fields related to current projects.
• Ability to contribute to scientific presentations and manuscripts.
• Ability to work in a team science environment involving researchers across multiple organizations.
• Ability to lead projects/processes, working independently with limited supervision

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.