Manager, Flow Cytometry Data Analysis - Job Opportunity at Precision for Medicine
USD 110,000 - 150,000 per year based on seniority and market demand
Benefits
Remote work flexibility
Professional development opportunities
Scientific publication support
Industry-standard healthcare package (implied)
Collaborative research environment
Key Responsibilities
Lead and perform complex flow cytometry data analysis for assay development and validation
Provide scientific leadership and mentorship to data science team members
Drive process improvement initiatives for quality and efficiency
Collaborate with laboratory and translational science teams
Author scientific publications and technical documentation
Manage project timelines and quality standards
Contribute to grant applications and contract proposals
Requirements
Education
Bachelor's Degree in life sciences or relevant field (Master's or PhD preferred)
Experience
8 years of relevant flow cytometry data analysis experience
Required Skills
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Industry Trends
Role Significance
Typically manages 3-5 data scientists in a matrix organization structure with dotted-line relationships to laboratory and clinical teams
Senior technical leadership position with direct reports and significant influence on scientific operations and quality standards
Key Projects
Success Factors
Market Demand
High demand position due to increasing adoption of flow cytometry in drug development and clinical research, with particular growth in contract research organizations
Important Skills
Critical Skills
Beneficial Skills
Unique Aspects
Combination of technical leadership and hands-on data analysis requirements
Focus on emerging spectral flow cytometry technologies
Strong emphasis on scientific publication and thought leadership
Direct involvement in cutting-edge precision medicine applications
Career Growth
2-4 years in role typically required before advancement to director-level positions
Potential Next Roles
Company Overview
Precision for Medicine
Precision for Medicine is a specialized CRO focused on biomarker-driven drug development and precision medicine applications
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