Lead our mass-spectrometry lab in biomarker discovery and molecular identification. Within 6–12 months, success means achieving more than 95% instrument uptime, supported by a clear preventive and corrective maintenance schedule and real-time QC dashboards. Turnaround times should be reduced by 30–50% through stable, well-documented workflows. Discovery must be reproducible, with QC pass rates above 90%, robust batch correction, and audit-ready ELNs and SOPs in place. The lab should also be prepared to scale, with an active GLP transition plan and a capacity model aligned to revenue targets.
Responsibilities
* Lead the lab: Manage day-to-day operations, method development and validation, scheduling, capacity planning, vendor relations, inventory, and EHS.
* Team & culture: Hire, coach, and develop scientists; enforce speed, efficiency, and ownership.
* Partner success: Translate objectives into executable lab plans; communicate progress, risks, and results with clarity.
* Work management: Run projects with Jira and maintain an electronic lab notebook.
* Biomarker discovery: Design and manage studies, validate strategies, and deliver statistically sound results.
* Molecular ID: Drive identification pipelines and triage unknowns with MS/MS libraries and orthogonal methods; coordinate with internal tech (e.g., IR-assisted ID).
* Quality & compliance: Operate in non-GLP today, while building SOPs, training, and documentation to transition toward GLP.
* Data rigor: Define data standards and interfaces with data tools (e.g., MS-DIAL, Skyline, vendor suites; R/Python preferred).
* Automation & uptime: Maximize instrument availability, maintain (preventive / corrective maintenance) PM/CM schedules, ensure ELN consistency, and streamline throughput. Lab automation/liquid handling and DoE for method optimization.
Qualifications
* 7+ years running a mass-spectrometry lab in a fast paced environment (CRO metabolomics services or pharma/biotech internal MS labs).
* Deep hands-on experience in sample preparation (plasma/serum/urine/tissues), LC-MS(/MS), and method development (QTOF; IMS a plus).
* Proven track record in biomarker discovery (study design, QC, stats) and metabolite identification (library/structure workflows).
* Strong command of untargeted pipelines (feature detection, alignment, batch correction) and targeted quant (MRM/PRM, calibration, QC).
* Familiarity with data tools (MS-DIAL, XCMS, Skyline, MassHunter) and basic scripting (R/Python) for QC/analysis.
* SOP writing, audits/readiness, and comfort evolving from non-GLP toward GLP.
* Startup mindset: high ownership, structured execution, bias to action; fluent with Jira, ELN/LIMS.
Nice To Have
* Experience with clinical sample chains, biobank interfaces, and chain-of-custody.
* Exposure to glycomics/proteomics and orthogonal ID techniques.
Culture and perks
* Impact that matters: Help solve one of the most difficult bottlenecks in translational science, trustworthy molecular ID and actionable biomarkers.
* Build the blueprint: Your systems and standards will define how next-gen metabolomics operates at scale.
* Elite collaborators: Work with leading hospitals, biotech, and pharma on programs that change patient outcomes. Ownership & growth: High autonomy, rapid learning, and a direct line from your work to patient benefit.
Seniority level
* Director
Employment type
* Full-time
Job function
* Research, Analyst, and Information Technology
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