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

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