The Health Sciences Center (HSC) at West Virginia University is seeking a highly motivated PhD-level scientist to oversee and expand the Molecular Analytics & Therapeutics Core (MATRIX Core). The purpose of this position is to provide leadership, technical expertise, and strategic development of metabolomics and compound characterization services to support a diverse and growing biomedical research community. The successful candidate will bring expertise in analytical chemistry and mass spectrometry-based metabolomics and lipidomics, with hands-on experience operating and maintaining LC/MS instruments, including triple quadrupole and high-resolution instruments (e.g., Orbitrap). Experience with NMR-based metabolomics is desirable. This individual will play a central role in advancing molecular analytics capabilities at WVU by supporting investigators, developing new analytical methods, and ensuring high-quality, reproducible data generation. We strongly believe in work-life balance and keeping time for things we love outside our work. WVU offers generous benefits, including: • 37.5-hour work week • 13 paid holidays (staff holiday calendar) • 24 annual leave (vacation) days per year (employee leave) • 18 sick days per year (for when youre ill, for when you need time to care for sick family, for your own, or your familys, regularly scheduled medical appointments. Who is family for the purpose of this leave? A lot of people in your life including immediate relatives and in-laws as well as others considered to be members of your household living under the same roof) • WVU offers a range of health insurance and other benefit • 401(a) retirement savings with 6% employee contribution match, eligibility to continue health insurance, and other retiree perks. Looking for more retirement benefits information? Check out retirement health insurance benefits, retirement income, and FAQs. • Wellness program What Youll Do • Oversee daily operations of the MATRIX Core, including instrument performance, maintenance, and troubleshooting of LC/MS systems • Develop, optimize, and validate targeted and untargeted methods to expand the range of services offered • Manage scheduling and utilization of core instruments and ensure equitable and efficient access for users • Provide consultation to investigators on experimental design, sample preparation, and data interpretation • Perform or oversee sample analysis, data acquisition, and quality control • Maintain accurate records of instrument performance, service logs, and experimental workflows • Coordinate with instrument vendors and service engineers to diagnose and resolve technical issues, and arrange for repairs and preventive maintenance as needed • Order and manage inventory of solvents, consumables, and replacement parts required for continuous operation of the instruments • Train and supervise users, students, and staff in molecular analytics techniques and instrument operation • Collaborate with investigators on grant applications and manuscripts involving metabolomics data • Evaluate and implement new technologies to enhance core capabilities • Ensure compliance with institutional safety regulations and best practices for handling chemicals and biological samples • Manage core-related documentation, billing, and reporting as required Qualifications • PhD in chemistry, biochemistry, or a related field or equivalent degree. • A minimum of three (3) years of experience in the following: • Demonstrated experience with LC/MS-based metabolomics platforms. • Experience with NMR-based metabolomics is a plus • All qualifications must be met by the time of employment. Knowledge, Skills and Abilities • Extensive knowledge of mass spectrometry and chromatographic techniques • Strong quantitative and analytical skills • Demonstrated ability to develop and optimize analytical methods • Experience in troubleshooting and maintaining complex analytical instruments • Knowledge of metabolomics data processing and analysis workflows • Ability to design experiments and provide scientific consultation • Strong organizational and project management skills • Excellent communication skills, including the ability to interact with investigators of diverse backgrounds = • Ability to train and mentor students and staff • Proficiency with data analysis software and standard computing tools • Commitment to maintaining high standards of data quality and reproducibility