Details:
- Compensation: $45 - $55/hour
- Benefits: Medical, Dental, Vision
- Employment Classification: Contract To Hire
- Status: On-Site
- Job ID: 21570
Job Title: Associate Scientist Next Generation Sequencing
Work Location: Middlesex County, Massachusetts
Summary:
Seeking a motivated Associate Scientist to join a Genome Engineering team, focusing on developing and executing sequencing workflows to support advanced genetic medicine platforms. This role involves hands-on laboratory work, data analysis, and collaboration with cross-functional teams to drive next-generation genome engineering technologies.
Responsibilities:
- Perform next-generation sequencing (NGS) workflows, including nucleic acid extraction, library preparation, sequencing, and quality control protocols.
- Maintain and track comprehensive metadata to ensure data integrity across multiple projects and collaborators.
- Analyze and interpret sequencing data, communicating results to guide project direction in collaborative settings.
- Collaborate closely with protein engineering and immunology teams to meet project deadlines and deliverables.
- Assist in developing and implementing new NGS workflows and technologies.
- Keep detailed and accurate laboratory records in accordance with established protocols.
- Follow standard operating procedures (SOPs) and laboratory best practices to ensure high-quality results.
- Support onboarding and training efforts for new NGS methodologies within the team.
Qualifications:
- Master’s degree in molecular biology or a related field with 3+ years of relevant industry or academic experience, or Bachelor’s degree with 5+ years of experience.
- Hands-on experience with NGS-based library preparation and sequencing techniques.
- Proven ability to execute, interpret, and troubleshoot NGS workflows.
- Strong verbal and written communication skills, with a collaborative approach to teamwork.
- Experience with DNA/RNA quality control assessment tools such as Tapestation, Qubit, Nanodrop, and qPCR.
- Familiarity with liquid handlers, Oxford Nanopore Technologies, and ddPCR is preferred.
- Experience in genome-editing assessment is a plus.
- Demonstrated ability to work independently, multitask, and maintain thorough written documentation.
Published Category: Discovery Research & Preclinical



