Turbine provides the world's first cell simulation platform, enabling scientists to test hypotheses and make data-driven R&D decisions. Their platform, Simulated Cell™, augments pipelines by…
Turbine provides the world's first cell simulation platform, enabling scientists to test hypotheses and make data-driven R&D decisions. Their platform, Simulated Cell™, augments pipelines by…
Join our team as a
Lab Data Engineer
and help virtualize biological experiments to accelerate discovery!
The
Lab Data Engineer
is responsible for building data pipelines for effective processing of our high-throughput screening results. Your goal is to continuously develop and maintain our existing data pipelines for various use cases ranging from plate reader-based readouts, microscopy images and ideally NGS-derived and omics data. You will be responsible to create dashboards and QC reports for our lab scientists and proactively communicate about their needs, explore new processing algorithms and work together with the database owners for long term storage.
Responsibilities
Data handling:
Backup and handle data according to standard practices established for data pipelines
Data pipeline development:
Programming and development of data pipelines for quality control and downstream handover to the modeling teams
Troubleshooting:
Support lab scientists during daily operations with troubleshooting and insights
Cross-team data analysis support:
Work together with other team members and lab teams to assess the needs and provide insights from the data generated
QC report generation:
Deliver QC reports for lab scientists for evaluation of screen results
Long term database storage:
Coordinate persistence of the data in a centralized location with the database owners
Data model development:
Propose ideas how to develop and sustain data models and schemas for various biological datatypes
Documentation:
Document of the processing workflows and logic
Key Expectations
Design, build, maintain, and continuously improve data pipelines for high-throughput screening (HTS) data.
Ensure reliable processing of diverse biological data types (plate reader data, microscopy images, NGS/omics data).
Enable smooth handover of processed data to modeling teams.
Implement and maintain QC workflows.
Skills
Soft Skills
Ability to translate technical concepts into clear insights for lab scientists.
Proactive communication regarding pipeline issues and improvements.
Clear documentation writing skills.
Cross-functional teamwork with scientists, data scientists, and database teams.
Stakeholder management across technical and non-technical teams.
Takes initiative in improving systems and processes.
Suggests scalable, long-term solutions rather than short-term fixes.
You are a Turbiner if these personality traits apply to you
You have self-awareness and strong intention on personal growth
You seek out feedback and learn from mistakes and apply what you learned
You take responsibility and focus on the outcomes over tasks
You focus on shared success and are open to challenging others respectfully to get the best possible outcome
You are in it for the long haul and have passion for our mission
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Generate clear and actionable QC reports for lab scientists.
Work closely with lab scientists to understand experimental needs.
Partner with modeling/data science teams for downstream analysis.
Coordinate with database owners for long-term storage and architecture alignment.
Maintain clear documentation of data workflows.
Standardize processes for reproducibility and onboarding.
Communicate technical solutions effectively to non-technical stakeholders.
Strong proficiency in Python (preferred), R, or similar languages.
Experience building ETL/ELT pipelines.
Experience with workflow orchestration tools (e.g., Airflow, Nextflow, Snakemake).
