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As a Scientific Service Project Manager, you will play a key role in ensuring the accuracy and reliability of our scientific services. You will work closely with other team members to maintain high-quality transcription, data accuracy, and user experience, supporting the continuous improvement of LabTwin, our voice-powered smart digital assistant, and other related voice products.
Fluency in both German and English is essential, as you will ensure precise transcription and seamless communication for a diverse range of scientific users. Your expertise in scientific workflows and AI-driven speech processing will help refine our services and enhance user satisfaction.Collaborate with other Scientific Services team members to ensure manual transcription Word Error Rate (WER) stays below 3%.
Conduct daily quality checks on transcriptions in German and English to maintain accuracy and reliability.
Identify recurring transcription issues and share insights with the team to enhance AI training.
Uphold compliance with scientific and data integrity standards.
Work as a team to support the customer success team by providing insights on quality issues affecting users.
Identify users facing challenges and proactively assist in improving their experience.
Provide linguistic and scientific expertise to enhance voice recognition accuracy.
Contribute to team discussions on improving transcription accuracy and automation.
Work together with the product team to refine voice recognition capabilities and user workflows.
Collaborate with the data science team to ensure training data is clean and properly structured.
Assist in identifying technical improvements to streamline workflows and quality control processes.
Work with the backend team to enhance internal tools for better service efficiency.
Help troubleshoot technical issues affecting transcription quality and workflow.
MSc in Biotechnology, Biology, or a related scientific field.
Fluent in both German and English (spoken and written).
2+ years of experience in a wet lab environment.
Experience in quality control and working with data-driven accuracy metrics.
Strong understanding of AI and NLP models in scientific applications.
Highly collaborative, detail-oriented, and proactive in problem-solving.
Tech-savvy with the ability to troubleshoot IT issues effectively.
Nice to Have:
Experience in a customer-facing role within the scientific or biotech industry.
Familiarity with speech recognition systems and quality assurance processes.
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