Omics QA/QC Bioinformatician — Python & ML, Equity

Alden Scientific; Boston (MA); Hybrid; USD 110,000 - 160,000; Full time

Benefits offered by this job

Competitive salary

Equity options

Health benefits

Flexible PTO

Professional development support

Job summary

Alden Scientific, a Cambridge, MA-based life sciences company, seeks a Bioinformatician focused on QA/QC for multi-omics data. You will advance QC flags, collaborate with engineers, and guide SOP improvements while leveraging Python and molecular biology expertise.

The role blends computational work with omics assay understanding, requiring proactive data quality enhancement and clear communication across scientific and technical teams.

Qualifications

• Fluent Python programming and clean, reproducible code.
• Molecular biology experience is required to reason about data in the omics context.
• Strong collaboration and communication in cross-functional teams.
• Ability to translate QC findings into actionable SOP improvements.
• Experience with omics data and multi-omics analyses is a plus.

Responsibilities

• Maintain QA/QC of omics assay data to ensure reproducibility and validity of results.
• Investigate failure modes, identify root causes, and prototype QC flags.
• Collaborate with engineering to productionize QC flags.
• Work with data science to define QC requirements for ML models.
• Assess QC impact on downstream use cases and replicate data.
• Guide SOP improvements and educate collaborators on QA/QC results.

Skills

Python

Clean code

Multidisciplinary collaboration

Data visualization

Communication skills

Attention to detail

Adaptability

Education

PhD in quantitative field

Tools

GitHub

Version control

AWS/GCP

Job description

Alden Scientific, a Cambridge, MA-based life sciences company, seeks a Bioinformatician focused on QA/QC for multi-omics data. You will advance QC flags, collaborate with engineers, and guide SOP improvements while leveraging Python and molecular biology expertise.

The role blends computational work with omics assay understanding, requiring proactive data quality enhancement and clear communication across scientific and technical teams.