I

iLoF

AI-powered photonics platform for drug discovery

Senior / Lead Data Scientist - Physical Sciences & Biomedical Signals

Data ScienceConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • A PhD in Physics, Applied Physics, Engineering, or a related quantitative or experimental discipline; a Master’s degree with substantial relevant experience will also be considered.
  • Strong experience analyzing physical signals or complex measurement-based datasets.
  • A sound understanding of signal processing, statistical analysis, and machine learning.
  • Demonstrated ability to design investigations, work with raw experimental data, and assess alternative explanations for observed patterns.
  • Strong scientific programming skills and experience developing reproducible analytical workflows.
  • Evidence of independently delivering complex scientific analyses; Lead candidates should also demonstrate methodological influence across projects and technical mentoring.

Responsibilities

  • Own analytical work from scientific problem framing and experimental design through analysis, modelling, validation, and interpretation.
  • Investigate how measurement processes, sample properties, and experimental conditions influence observed data.
  • Prototype, develop, and evaluate suitable signal-processing, preprocessing, feature-extraction, and modelling approaches for complex experimental datasets.
  • Identify, characterise, and assess sources of technical variation and artefacts, evaluate their implications for data quality, reproducibility, and downstream conclusions, and develop appropriate methods to correct or compensate for them.
  • Work with experimental scientists and engineers to design targeted experiments that resolve uncertainty and improve data quality and data-generation processes.
  • Evaluate whether analytical approaches remain reliable across instruments, acquisition conditions, and datasets.
  • Develop reusable analytical methods and communicate their assumptions, limitations, and appropriate use.
  • Mentor colleagues, contribute to technical reviews, and support scientific publications and other research outputs.
  • At Lead level, define and maintain methodological standards for physical-signal analysis across projects.
  • At Lead level, guide difficult or recurring technical decisions and identify problems requiring a shared solution.
  • At Lead level, develop the team’s ability to reason about measurement systems and experimental evidence.

Desired Qualifications

  • Experience in spectroscopy, photonics, sensor systems, analytical chemistry, or related fields is particularly valuable.
  • Prior Raman or FTIR expertise is advantageous.

About the Company

iLoF

AI-powered photonics platform for drug discovery

iLoF uses artificial intelligence and photonics to speed up personalized drug discovery by analyzing light signals from non-invasive samples to create optical fingerprints stored in a cloud library, which AI analyzes to identify biomarkers and stratify patients for trials. The platform collects light from small samples, converts it into optical fingerprints, uploads them to a cloud library, and uses AI to extract molecular and phenotypic information to guide patient screening and therapy selection under a data-subscription model. It differentiates itself by combining non-invasive photonics with a cloud-based digital library and end-to-end data services for pharma, enabling scalable biomarker discovery and patient stratification rather than offering only hardware or a single tool. Its goal is to speed up drug development by providing non-invasive, AI-driven biomarker insights and patient stratification to reduce trial costs and duration and enable more patient-centric studies.

Company size
11-50
Company stage
Early VC
Total funding
$13M
Headquarters
London, United Kingdom
Founded
2019

Recently Posted Jobs

Explore more opportunities at iLoF

See more jobs