Voice Technology Validation Scientist

Job title:

Voice Technology Validation Scientist

Department:
Science

People Manager? No

Location:

UK - Hybrid, ideally with 2-3 days per week from our Bottisham office and the remainder can be worked from home if preferred

Contract:

Fixed-term contract (FTC) for 12 months

Working pattern:
Full-time. Monday to Friday 37.5 hours.

Salary: £50,000 - £65,000 depending on experience

Who are Cambridge Cognition and what do we do?

We are a talented global team based in the UK, Canada and USA. Backed by over 30 years of scientific discovery and validation, Cambridge Cognition offers the end-to-end platform for CNS clinical trials. Our technologies are reliable in-clinic or at home for an improved patient experience and accelerated drug development.

We aim to make an extraordinary impact by improving the health of people worldwide with innovative assessments and digital biomarkers that provide researchers with precise measures of patients’ symptoms. We lead in CNS research and are broadening our impact across therapeutic areas.

Are you interested in working for a company whose main goal is to make a difference to the health of current and future generations, through the knowledge and experience of our passionate team?

We're looking for a Scientist, Voice Technology Validation to lead the evaluation and validation of novel speech and language technologies that underpin our voice-based assessments for clinical research. This role sits at the intersection of speech technology, data science, measurement science, and clinical research, with real scope to shape the scientific foundation for next-generation voice-based assessments - work that helps pharmaceutical companies and researchers measure cognitive and neurological function more accurately, remotely, and at scale.

You will be responsible for developing and executing analytical validation strategies for automatic speech recognition (ASR) systems and downstream voice analytics, ensuring our technologies remain robust, reliable, and fit for use in global clinical trials, working closely with engineers and clinical scientists throughout.

• Lead the analytical validation of automatic speech recognition (ASR) systems and voice analytics pipelines used in digital assessments
• Design and execute studies to evaluate pipeline performance across languages, demographic groups, recording conditions, and clinical populations
• Develop validation frameworks and performance benchmarks for speech technology used in clinical research applications
• Define and evaluate performance characteristics of speech technologies and voice-derived measures, including accuracy, reliability, robustness, reproducibility, bias, and generalisability

• Assess the impact of transcription errors and ASR model performance on downstream linguistic, acoustic, and digital biomarker measures
• Analyse large-scale speech, language, and clinical datasets using statistical and data science methods

• Collaborate with engineering and product teams to improve model performance and establish evidence-based acceptance criteria, listening to understand colleagues' constraints rather than simply advocating for a position
• Advise on study design and product roadmap decisions involving voice-based assessments, bringing scientific rigour to early-stage technical choices
• Support the generation of scientific publications, technical reports, white papers, and client-facing evidence packages

• A PhD or MSc with significant relevant experience in neuroscience, psychology, statistics, speech and language sciences, linguistics, biomedical engineering, data science, or a related field
• A questioning, evidence-led mindset, comfortable asking "why," challenging assumptions about model performance, and voicing a view even where it's not the popular one
• Experience designing and conducting analytical and/or clinical validation studies for digital measures, biomarkers, assessments, or healthcare technologies
• Strong understanding of statistical methods, experimental design, and quantitative data analysis
• Proficiency in data analysis using R and/or Python
• Experience working with complex speech, language, behavioural, clinical, or real-world datasets
• Strong scientific communication skills, including experience preparing technical reports, publications, or presentations
• Confidence working effectively in…