Bioinformatician

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

Bioinformatician, Omics QA/QC Alden Scientific | Full-Time | Cambridge, MA

Alden Scientific is a leading life sciences company based in Cambridge, MA, focused on AI-powered multi-omics analysis and precision biomedical research. We work at the intersection of advanced laboratory science, large-scale data, and translational insight to support biopharma, academia, government, and individuals pioneering precision medicine globally.

About the Role

A crucial part of multi-omic data processing is quality assurance/quality control (QA/QC). Rigorous QA/QC is necessary to ensure our research, findings, and interpretation are not confounded by technical artifacts.

A successful candidate should be able to say that a data point is not up to our QA/QC standards, as well as why. We're looking for a Bioinformatician with strong Python experience and molecular biology experience. While the role is fully computational, we're looking for candidates who understand the ins and outs of the omics assays we use (e.g., proteomics, immunomics, metabolomics). We expect you to be proactive in suggesting changes to our SOPs for improving data quality.

What You'll Do

• Maintain QA/QC of omics assay data to ensure reproducibility and validity of results for members and internal R&D.
• Conduct R&D projects investigating failure modes on each assay, identify root causes, and produce interpretable prototypes of QC flags.
• Partner with the engineering team to implement and productionize prototype QC flags.
• Partner with the modeling/data science team to define QC requirements for reliable ML model development.
• Evaluate the impact of QC on downstream use cases, including ML model prediction outcomes.
• Assess within-platform and cross-platform reproducibility on replicate samples.
• Guide changes in sample and data handling SOPs to continually improve data quality and reduce QC failure rates in future datasets.
• Summarize and communicate new findings with audiences of different backgrounds.
• Educate colleagues and partners (scientific collaborators, omics assay vendors) on interpretation of QA/QC results.

Who We're Looking For

• A track record of writing clean code and executing successful research projects in computational science.
• Fluency in Python.
• Prior molecular biology experience is required — you should be able to reason about how a sample's handling history shows up in the data.
• Exceptional attention to detail.
• Experience collaborating in multidisciplinary teams.
• Clear verbal and written communication.
• Exceptional data visualization skills.
• Adaptability in the face of non-standard challenges and goals.

Preferred Qualifications

• PhD in a quantitative field (our interview task is designed for an early-career PhD scientist).
• Experience analyzing multiple omics assay types, including incorporating multiple omics into one analysis.
• Familiarity with cloud infrastructure (AWS, GCP, or similar).
• Experience with GitHub and version control.

Why Join Us

• Impact: Your work will directly support multi-omic science and AI models that empower individuals to take control of their health.
• Growth: We're a fast-growing team of ~50 people, have completed two acquisitions, and are actively pursuing more. You'll see how a company operates at that stage and grow as our capabilities scale.
• Innovation: Expand the frontier of data-driven, AI-informed health management.
• Collaboration: Work alongside scientists, engineers, and product teams redefining health management.
• Benefits: Competitive salary, equity options, health benefits, flexible PTO, and professional development support.

Location

Our strong preference is for candidates who can work at our Cambridge, MA office. Exceptional US-based candidates with prior success in remote roles will be considered; remote team members should expect periodic travel to Boston for collaborative work.

Please note: we are unable to sponsor work visas for international candidates at this time.

Interview Process

Our process includes an introductory call, an interview with the hiring manager, a take-home task (4-6 hours, materials provided), a presentation to our quantitative biology group, and a final conversation with our CEO.