Note: The job is a remote job and is open to candidates in USA. Alden Scientific is a life sciences company focused on AI-powered multi-omics analysis and precision biomedical research. The Bioinformatician, Omics QA/QC will maintain the quality and reproducibility of omics assay data, investigate assay failure modes, develop QC flags, and collaborate with engineering and data science teams to improve research and machine learning outcomes.
Responsibilities
- 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
Skills
- 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
- Please note: we are unable to sponsor work visas for international candidates at this time
- 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
- Hands-on molecular assay development experience
- Familiarity with cloud infrastructure (AWS, GCP, or similar)
- Experience with GitHub and version control
- 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
Benefits
- Competitive salary
- Equity options
- Health benefits
- Flexible PTO
- Professional development support
- 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.
Company Overview