Details:
- Compensation: $45 - $55/hour
- Benefits: Medical, Dental, Vision
- Employment Classification: Contract
- Status: On-Site
- Job ID: 21337
Associate Scientist, Genomic Engineering
Work Location: Middlesex County, Massachusetts
Summary:
Seeking a skilled scientist to design, execute, and analyze cell-based assays and high-throughput screening workflows, contributing to the advancement of genomic engineering platforms and programs. This role requires strong technical expertise, data analysis skills, and the ability to collaborate within cross-functional teams.
Responsibilities:
- Design and implement cell-based assays and screening workflows to support platform and program goals, both independently and collaboratively.
- Develop and execute high-throughput arrayed and pooled screening campaigns with a focus on rigor and reproducibility.
- Troubleshoot experimental protocols, analyze data, and translate findings into actionable scientific insights.
- Maintain comprehensive and accurate laboratory records, ensuring clear communication of data and results to scientific teams.
- Collaborate with cross-functional partners to advance optimized candidates into translational and preclinical development stages.
- Utilize gene editing technologies, such as CRISPR nucleases, recombinases, base editors, or transcriptional effectors, in experimental workflows.
- Apply laboratory automation platforms to enhance efficiency and consistency in cell-based screening processes.
- Present complex technical information clearly to diverse audiences and manage multiple projects and datasets with strong organizational skills.
Qualifications:
- Bachelor’s degree in cell biology, molecular biology, or a related field with 5+ years of relevant experience, or a Master’s degree with 3+ years of experience.
- Experience conducting high-throughput cell-based screens; expertise with primary T cells, hepatocytes, and cancer cell lines preferred.
- Hands-on experience with gene editing technologies, including CRISPR nucleases, recombinases, base editors, or transcriptional effectors.
- Familiarity with laboratory automation platforms for cell-based screening workflows.
- Proficiency in nucleic acid quality control methods such as TapeStation, Qubit, NanoDrop, and qPCR.
- Demonstrated ability to independently generate precise, reproducible data and perform rigorous quantitative analysis.
- Strong collaborative mindset and team-first approach.
- Excellent written and verbal communication skills, with the ability to present technical information clearly and concisely.
- Exceptional organizational skills, capable of managing complex datasets and multiple overlapping projects.
Published Category: Discovery Research & Preclinical