Associate Data Scientist | Personalized Medicine | Deep Tech Startup

You will:

• Support the data science workflow for specific projects from problem framing to delivery.

• Analyse proprietary biomedical datasets to identify patterns variability and opportunities for improved performance.

• Help develop and apply statistical and machine learning methods for noisy high-dimensional and often small-sample data.

• Contribute to validation strategies including uncertainty and robustness checks.

• Help improve preprocessing pipelines signal quality and acquisition protocols through work with raw data and instrumentation.

• Apply chemometric and multivariate analysis to spectroscopic data.

• Work cross-functionally with experimental hardware and product teams.

• Communicate findings trade-offs and recommendations clearly to technical and non-technical stakeholders.

• Contribute to reusable analysis frameworks documentation and internal best practices.

• Stay up to date with developments in data science computational modelling and spectroscopy for clinical applications.

• Contribute to research publications patents and conference presentations where relevant.

Who we are looking for

You are a hands-on Data Scientist who is comfortable working in a fast-paced startup environment and wants to grow by tackling interesting scientific problems. You are happy moving between exploratory analysis statistical modelling signal processing and practical delivery with support and guidance from more experienced colleagues.

You may have experience with biomedical spectroscopy data or other high-dimensional data where noise batch effects measurement artefacts and instrument-driven variation must be handled carefully. You are developing your skills in experimental design validation strategy and communicating uncertainty trade-offs and limitations clearly.

You work well in interdisciplinary teams and enjoy collaborating with scientists and engineers across biology hardware and product. You care about scientific rigour learning quickly and turning complex data into models and insights that can make a real difference.

Qualifications :

• Masters degree or PhD in Computer Science Applied Math Statistics Physics Engineering or a related field. Exceptional candidates with relevant research or applied experience will also be considered.

• Around 13 years of experience in academia or industry working on quantitative data problems.

• Strong foundation in applied statistics predictive modelling and experimental design.

• Experience working with raw data alongside instrumentation including optimisation of signal quality acquisition protocols or hardware performance.

• Plus: Experience in chemometric or multivariate analysis of spectroscopic data such as Raman FTIR or related high-dimensional signal data.

• Strong data preprocessing feature engineering and exploratory analysis skills.

• Experience supporting validation strategies and interpreting model performance in ambiguous or noisy settings.

• Strong problem-solving ability and comfort with incomplete messy or evolving data.

• Excellent written and verbal communication skills.

• Interest in mentoring and learning from senior colleagues is a plus.

Additional Information :

iLoF in a nutshell

As personalized medicine becomes the norm scientists patients and healthcare systems worldwide face massive barriers in providing the right treatment to the right patient.

Recognized by CB Insights and Financial Times as one of the most promising Digital Health companies in the world iLoF is building an AI-powered platform capable of transforming precision medicine.

Our goal is to become the platform that democratizes access to personalized medicine for millions of people living with complex diseases around the globe.

Thanks to our proprietary optical fingerprint library of disease biomarkers and biological profiles we can offer personalized patient screening and stratification in a faster and more affordable way saving up to 40% of the cost and 70% of the time while enabling a more human patient experience.

Supported by leading institutions like Microsoft Ventures Mayfield and the Oxford University iLoF is currently focusing on validating its platform technology in one of the biggest challenges of our times: Alzheimers while maintaining ongoing verticals on Digestive Cancer Stroke and Infectious diseases.

Our Team

We are a mix of scientists entrepreneurs and inventors based in Oxford and Porto with a passion for healthcare!

Recognized by CB Insights as one of the most promising Digital Health companies in the world and by the Financial Times as a Transformational Business in Healthcare iLoF has been regularly featured in leading outlets like Tech Crunch Wired and Sifted and listed as a rising star in AI-Driven Drug Discovery Health Screening & Data Analytics.
 

What we value

• A Be Kind attitude is the main guideline within iLoF

• A hand in the hammer and another free to support your co-workers as a true team player

• An honest and egoless attitude towards discussions and critics working in good faith

• The braveness to speak your heart in any situation

• Through words or actions be always sure to make a difference at any moment!

• Be proud to drive your responsibilities to success and help others do the same embracing ownership!

Perks

• An exciting future with a deep-tech company selected by Financial Times and CB Insights as one of the most transformative companies in the world

• A highpaced flexible environment: adaptable working hours strong remote work culture

• A stimulating atmosphere with room for creativity fastpaced fun and energetic startup with a friendly culture

• Weekly happy hours with amazing food and drinks

• Free coffee and snacks

• The opportunity to work with a worldclass talented team and potentially change healthcare as we know it for millions of patients living with complex diseases around the globe

We share a passion for being part of a mission that matters and we are always looking for curious and collaborative people who share our values and want to be part of our journey.

If that sounds like a fit for you click the apply button and join us.

Youve read all this way but youre missing a skill or two No problem its our job to upskill you to take your career to the next level. What were trying to say is dont be afraid to apply if you dont tick all the boxes.

Remote Work :

No

Employment Type :

Full-time