Associate Computational Scientist | Li Lab
The Jackson Laboratory | |
United States, Connecticut, Farmington | |
10 Discovery Drive (Show on map) | |
Nov 12, 2024 | |
Job Summary: The Shuzhao Li lab is seeking an Associate Computational Scientist to perform and lead data analysis and scientific investigation on metabolomics, microbiomics, and other data types across multiple projects. This role involves managing and analyzing large-scale data, developing software tools for metabolomics and mass spectrometry data, and contributing to data visualization and cloud computing efforts. The successful candidate will also bring a strong biological understanding, demonstrated through high-impact publications. What You Contribute:
What You're Good At:
The salary range is $96,945 - $162,310. Salary is determined based on qualifications and years of relevant experience. #LI-MJ1 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. 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. |