R&D Supervisor, Diagnostics — Technical Lead & Mentor

Abbott (abbottcareers2 board); San Diego (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

Abbott Cancer Diagnostics in San Diego seeks a Supervisor, R&D to lead a small team of junior researchers and drive project execution from concept to development within diagnostic assay programs. The role emphasizes independent planning, data interpretation, and cross-functional collaboration to advance pipeline milestones.

Responsibilities include designing experiments, generating and presenting results, maintaining rigorous documentation, and guiding staff through training and performance

Qualifications

• Provides leadership to a small team of junior research associates.
• Plans and analyzes bench level experiments.
• Translates research ideas into product development pipelines.
• Interprets data and communicates results to teams and leadership.
• Maintains knowledge of industry developments to inform processes.

Responsibilities

• Provide leadership to a small team of junior research associates.
• Conduct bench level experiments within several product or technology areas and identify problems and discrepancies.
• Independently plan and analyze results of bench level experiments within several product or technology areas.
• Prepare and provide information and data for scientific abstracts/conferences/project meetings/publication.
• Generate, document, and communicate development plans for critical aspects of a project.
• Present experimental results and defend scientific ideas and findings at meetings; provide technical input as needed.
• Supervise staff; organize and prioritize work, train/develop, and manage performance.

Skills

Leadership

Team management

Bench experiments

Data analysis

Project planning

Job description

Abbott Cancer Diagnostics in San Diego seeks a Supervisor, R&D to lead a small team of junior researchers and drive project execution from concept to development within diagnostic assay programs. The role emphasizes independent planning, data interpretation, and cross-functional collaboration to advance pipeline milestones.

Responsibilities include designing experiments, generating and presenting results, maintaining rigorous documentation, and guiding staff through training and performance