At a Glance
- Tasks: Develop predictive machine learning models using wearable data for maternal and digital health.
- Company: Leading academic research programme at the forefront of digital health innovation.
- Benefits: Access to large-scale datasets, strong academic environment, and opportunities for publication.
- Other info: Hybrid work model with a focus on collaboration and research output.
- Why this job: Make a real impact on healthcare by applying machine learning to clinical problems.
- Qualifications: PhD in relevant field and strong experience in machine learning applied to healthcare.
The predicted salary is between 50000 - 70000 £ per year.
Location: London Bridge (Hybrid, minimum 3–4 days on site, with regular presence in South East London)
Contract: 3-year academic contract with renewal
BioTalent has partnered with a leading academic research programme to appoint a Research Scientist focused on machine learning, wearable data, and digital health. This is a genuinely research‐led role, not a product or engineering position. You'll be working at the intersection of healthcare, AI, and real‐world data, applying deep learning to large‐scale, longitudinal datasets to better understand health trajectories and enable personalised interventions.
The Opportunity
You'll be part of a global research initiative analysing multimodal data from wearable devices and digital biomarkers, with a focus on maternal and early childhood health. The work centres on continuous physiological monitoring, including heart rate, heart rate variability, sleep, activity, and behavioural signals, alongside emerging modalities such as voice biomarkers. This is a rare chance to apply machine learning in a setting where the output directly informs clinical understanding and real‐world interventions, rather than just model optimisation.
What You'll Be Doing
- Develop predictive machine learning models using multimodal wearable data
- Work with continuous physiological signals including heart rate, sleep, activity, and energy expenditure
- Apply deep learning and signal processing techniques to identify patterns and anomalies in longitudinal health data
- Integrate wearable data with clinical and behavioural markers such as blood pressure, glucose, and gestational metrics
- Explore emerging approaches such as voice biomarkers to detect physical and mental health signals
- Validate models for robustness, generalisability, and ethical use across diverse populations
- Build and maintain reproducible pipelines for data processing and feature engineering
- Collaborate with clinicians, statisticians, and researchers to ensure outputs are clinically meaningful
- Contribute to publications, conference presentations, and wider research outputs
What They're Looking For
- PhD in Bioinformatics, Computer Science, Data Science, or a closely related field
- Strong experience in machine learning or deep learning applied to healthcare or biological data
- Hands‐on experience working with wearable or time‐series physiological data
- Solid programming skills, typically Python
- Experience with signal processing, feature extraction, or anomaly detection
- Track record of academic research, including publications or conference contributions
- Ability to translate complex modelling outputs into clear, usable insights
Nice to have
- Experience with digital health, remote monitoring, or real‐world data
- Familiarity with maternal health or clinical biomarkers
- Exposure to multimodal data integration
- Experience contributing to grant applications or funded research
Why This Role
- Work on one of the most ambitious digital health research programmes globally
- Apply machine learning to real‐world clinical problems, not abstract datasets
- Access to large‐scale, longitudinal wearable datasets
- Strong academic environment with opportunities for publication and conference exposure
- Long‐term stability within a funded programme, despite academic contract structure
Inkfish - Research Scientist – Machine Learning for Wearables (Digital Health & Trials) in London employer: BioTalent Ltd
At BioTalent Ltd, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our commitment to employee growth is evident through tailored development programmes and the opportunity to lead impactful projects in the insurance sector. Located in a vibrant area, we offer competitive benefits and a supportive environment that empowers our team to excel and make meaningful contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Inkfish - Research Scientist – Machine Learning for Wearables (Digital Health & Trials) in London
✨Network Like a Pro
Get out there and connect with people in the industry! Attend conferences, workshops, or local meetups related to machine learning and digital health. You never know who might have a lead on your dream job or can introduce you to someone at Inkfish.
✨Show Off Your Skills
When you get the chance, showcase your work! Whether it’s through presentations, online portfolios, or even social media, let others see what you can do with machine learning and wearable data. This is your time to shine and demonstrate your expertise!
✨Tailor Your Approach
Make sure to tailor your conversations and networking efforts to the specific role at Inkfish. Highlight your experience with wearable data and machine learning in healthcare. The more relevant you are, the better your chances of making a lasting impression!
✨Apply Through Our Website
Don’t forget to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of our innovative research team.
We think you need these skills to ace Inkfish - Research Scientist – Machine Learning for Wearables (Digital Health & Trials) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in machine learning and wearable data. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or research!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about digital health and how your background makes you a perfect fit for this role. We love seeing enthusiasm and a personal touch.
Showcase Your Research Experience:Since this is a research-led position, make sure to highlight any publications or conference contributions. We’re keen to see how you’ve applied your knowledge in real-world settings, especially in healthcare.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. We can’t wait to hear from you!
How to prepare for a job interview at BioTalent Ltd
✨Know Your Stuff
Make sure you brush up on your machine learning and deep learning concepts, especially as they relate to healthcare. Be ready to discuss your experience with wearable data and how you've applied these techniques in real-world scenarios.
✨Showcase Your Research
Prepare to talk about your past research projects, particularly any publications or conference contributions. Highlight how your work has contributed to the field and be ready to explain complex modelling outputs in a way that's easy to understand.
✨Collaborative Spirit
This role involves working closely with clinicians and researchers, so be prepared to discuss your teamwork experiences. Share examples of how you've collaborated on projects and how you ensure that your outputs are clinically meaningful.
✨Ask Insightful Questions
Demonstrate your interest in the role by asking thoughtful questions about the research programme and its goals. Inquire about the types of datasets you'll be working with and how the team integrates various data sources for analysis.
