Molecular Bioengineer
Team: Application Development
Location: Seaport District, Boston, MA
Commitment: Full-time
Workplace Type: onsite
Salary:
Day 1 to Year 1
- Design, optimize, and validate core NGS assay steps including enzymatic fragmentation, hybrid capture, size selection, and PCR-free workflows while defining measurable performance metrics for field reliability.
- Prototype new assay components rapidly to generate early biological data and analyze run logs, QC outputs, and workflow metrics to identify trends and failure modes.
- Troubleshoot biological QC deviations, size distribution discrepancies, and regional coverage biases as well as systemic workflow failures arising from software configuration, hardware behavior, or workflow logic.
- Contribute to standardization across Apps and help shape a unified architecture for workflow design including monitoring, logging, and performance tracking standards.
- Analyze App performance in real-world deployments to proactively identify regressions, reliability gaps, and systemic issues.
- Build monitoring tools, dashboards, scripts, or QC pipelines to track workflow performance over time.
- Generate clear data visualizations, summaries, and presentations to communicate findings to cross-functional stakeholders and leadership.
Who You Are
- Master’s + 4 years OR PhD + 1 year in Bioengineering, Biochemistry, or related field.
- Strong hands-on experience with molecular workflows; NGS library prep experience strongly preferred with experience across multiple NGS workflows (e.g., WGS, targeted panels, RNA-seq, amplicon workflows) considered a plus.
- Skilled in experimental design, assay optimization, and troubleshooting complex molecular systems with demonstrated experience performing structured root-cause and failure mode analysis.
- Familiarity with automated liquid handling or integrated systems.
- Experience with Illumina, Oxford Nanopore, PacBio, or similar sequencing platforms.
- Proficient in Python, R or similar languages for data analysis and workflow scripting and capable of building monitoring tools, dashboards, and performance visualizations.
- Effective communicator and collaborator across R&D, automation, software, and manufacturing teams.
- Excellent documentation habits; comfortable working in a fast-paced, evolving environment and presenting performance findings clearly using data visualization and structured reporting.
- Deep NGS library prep specialization.
- Experience with hardware integration or microcontrollers.
- Git/version control familiarity.
- Exposure to manufacturing transfer or high-scale assay development.
- Openness to leveraging LLMs for workflow development and analysis acceleration.
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