Senior Research Associate, Platform Technology

Deep Genomics • Cambridge, MA

2d

About The Position

We are seeking a highly motivated Senior Research Associate to join our Platform Technology team and play a critical role in advancing our AI-enabled RNA therapeutics discovery platform. In this position, you will design, implement, and optimize genomics-based assays that power therapeutic discovery, screening, and validation across a wide range of cellular systems. You will support high-throughput evaluation of novel RNA therapeutics—including modalities such as ADAR editing, ASOs, siRNAs, and mRNAs—and generate high-quality molecular data that directly feeds into computational models and therapeutic decision-making. As a key contributor within a dynamic research environment, you will collaborate closely with computational scientists, platform biologists, and therapeutic program teams. You will develop and execute next-generation sequencing assays, functional genomics readouts, and high-throughput molecular screens that drive target validation, lead optimization, and drug profiling. This role is ideal for candidates who thrive in a fast-paced, cross-functional setting and enjoy building and scaling cutting-edge experimental technologies.

Requirements

• BS or MS in Molecular Biology, Genetics, Genomics, Biotechnology, Biochemistry, or related discipline with 3–6 years of relevant industry experience.
• Strong understanding of molecular and cell biology principles.
• Experience with NGS library preparation, including amplicon-seq, bulk RNA-seq, targeted panels, or single-cell sequencing.
• Experience extracting RNA/DNA from cells and animal tissues.
• Demonstrated proficiency in designing and executing genomics-based or molecular assays.
• Excellent communication, organizational, and documentation skills.
• Ability to prioritize and drive work independently in a fast-paced research environment.

Nice To Haves

• Proficiency with specific liquid handling platforms such as Hamilton STAR, Agilent Bravo, or Beckman Echo.
• Familiarity with RNA therapeutic modalities (ADAR editing, ASOs, siRNAs, mRNA).
• Hands-on experience growing, maintaining, and transfecting mammalian cells.
• Prior experience in a biotechnology, pharmaceutical, or platform-driven discovery environment and demonstrated ability to collaborate within a highly cross-functional and multidisciplinary team.

Responsibilities

• Design, execute, and optimize high-throughput genomics assays, including NGS workflows, targeted sequencing, RNA-seq, and high-content gene expression readouts, to evaluate RNA therapeutic candidates.
• Sequence prepared libraries independently using instruments such as the Illumina NextSeq, including run setup, instrument operation, and routine troubleshooting.
• Troubleshoot library prep, QC metrics, and workflow bottlenecks to ensure consistently high-quality datasets for computational analysis.
• Implement automated workflows using liquid handlers (e.g., Hamilton STAR, Agilent Bravo, Beckman Echo) to scale discovery and screening activities.
• Perform a broad range of molecular biology techniques including PCR, qPCR/ddPCR, and nucleic acid extractions on a variety of cell types and tissues.
• Clearly document experimental plans, results, SOPs, troubleshooting steps, and data within an electronic lab notebook (ELN).
• Present experimental findings and assay performance updates to project teams and collaborators.

Benefits

• A collaborative and innovative environment at the frontier of computational biology, machine learning, and drug discovery.
• Highly competitive compensation, including meaningful stock ownership.
• Comprehensive benefits - including health, vision, and dental coverage for employees and families, employee and family assistance program.
• Flexible work environment - including flexible hours, extended long weekends, holiday shutdown, unlimited personal days.
• Maternity and parental leave top-up coverage, as well as new parent paid time off.
• Focus on learning and growth for all employees - learning and development budget & lunch and learns.
• Facilities located in the heart of Toronto - the epicenter of machine learning and AI research and development, and in Kendall Square, Cambridge, Mass. - a global center of biotechnology and life sciences.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 51-100 employees