Data Science Jobs

133 jobs

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Isomorphic Labs logo

Isomorphic Labs · 201–500 people · Series A

Research Leader / Senior Scientist (Computational Drug Design), Cambridge, MA

  • Cambridge, United States
  • Hybrid · 3 days in office
  • Senior · manages people

Lead computational drug design programs from initiation through to clinical candidate selection, working alongside ML scientists to embed AI/ML into chemistry workflows. Roles span Program Lead or Computational Chemistry Lead, with some positions managing 2-3 computational chemists. Requires Python, cheminformatics and a track record of project leadership.

REINVENT · AlphaFold

3 months ago
Isomorphic Labs logo

Isomorphic Labs · 201–500 people · Series A

Research Leader / Senior Scientist (Medicinal Drug Design), Cambridge, MA

  • Cambridge, United States
  • Hybrid · 3 days in office
  • Senior · manages people

Lead medicinal chemistry on drug discovery projects from initiation through to clinical candidate selection, working as a Project Lead or Medicinal Chemistry Lead. Partner closely with ML scientists to refine the AI drug design platform, manage CRO resources and KPIs, and generate intellectual property. Some roles include line managing a team of 2-4 medicinal chemists.

AlphaFold

3 months ago
University of Southampton logo

University of Southampton · 501–1000 people · University

Professor/Associate Professor in Business Analytics

  • Johor - Malaysia
  • Senior
  • Contract

Provide academic leadership in teaching and research within a business school, delivering learning across undergraduate and postgraduate programmes. Lead research aligned with the campus research strategy, publish in reputable journals, develop collaborations with UK and regional universities, supervise students and contribute to curriculum development. Also supports research funding bids and innovative teaching practices.

Last week

Faculty · 51–200 people · Series B

Data Scientist

  • Sydney, Australia
  • Hybrid
  • Mid-level
  • Permanent

Designs and delivers bespoke data science solutions for clients across government, finance, retail, energy and life sciences, mapping end-to-end approaches and software architecture. Acts as a technical advisor, scoping new projects and setting the technical bar for delivery teams, with strong Python, NumPy, Pandas and TensorFlow/PyTorch work.

Python · NumPy · Pandas +3

5 days ago

Faculty · 51–200 people · Series B

Lead Data Scientist (Safety)

  • London
  • Hybrid
  • Lead · manages people
  • Permanent

Lead the scientific direction and architectural rigour of upstream AI safety and evaluation standards, partnering directly with Frontier Labs. Design novel experiment frameworks, mentor data scientists, and translate complex challenges into rigorous scientific frameworks while guiding cross-functional teams.

NumPy · Pandas · Inspect AI +1

3 weeks ago

Adecco · 10000+ people · Public

Data Scientist

  • London
  • £600 – £750 pd
  • Mid-level
  • Contract

Develops and deploys machine learning models and data pipelines that shape decision-making, customer service and business performance. Works closely with ML and software engineers on integration and coding standards, and engages stakeholders to translate complex business problems into data science solutions. Retail context with scope for personalisation, recommendation and experimentation work.

Last month

University of Exeter

GRA/PDRA in Evidence Synthesis/Medical Statistics

  • Exeter
  • £34,360 – £35,302 pa
  • Entry level
  • Contract

Join Isca Evidence, a multidisciplinary team of systematic reviewers, epidemiologists, statisticians and health economists, producing responsive high-quality systematic reviews for public health and health service priorities. You will contribute to a living network meta-analysis, support evidence synthesis projects for the Department of Health and Social Care, and help publish in international journals.

2 days ago

University of Oxford

OxWell Study Senior Statistician

  • Oxford
  • £57,721 – £66,608 pa
  • Senior
  • Contract

Provides statistical and methodological leadership across the OxWell Student Survey and its new School Compass programme, setting statistical priorities and long-term strategy. Coordinates statistical support for researchers and collaborators across multiple departments, ensuring scientific quality and integrity of analyses of large, complex school mental health datasets.

3 days ago

University of Oxford

Epidemiologist / Health Data Scientist on OpenSAFELY in the Bennett Institute

  • Oxford
  • Hybrid
  • £40,178 – £48,700 pa
  • Contract

Lead health data science on OpenSAFELY, a secure open-source platform covering the electronic health records of 55 million patients. Work spans vaccine safety and effectiveness research, disease and prescribing trends, dashboards, disclosure control, training, and supporting external users. Based in a mixed team of clinicians, developers, and researchers with a strong open science ethos.

OpenSAFELY · OpenPrescribing · OpenCodeCounts +1

Yesterday

VinUniversity

Faculty of Data Science

  • Hanoi, Vietnam
  • On-site
  • Permanent

A research-focused faculty role in data science, combining independent research, high-quality publications and securing competitive funding with teaching, course delivery and student supervision. The position sits within an engineering and computer science college and collaborates with a big data research institute, spanning areas such as IoT, distributed systems, computational intelligence and applied data science in genetics, agriculture and healthcare.

Last month

Queen Mary University of London

Statistician

  • London
  • Hybrid
  • £40,815 – £52,790 pa
  • Mid-level
  • Contract

Contributes to trial protocols, develops statistical analysis plans and conducts analyses across primary care, psychiatry, surgery and orthopaedics studies within a Pragmatic Clinical Trials Unit. Also expected to do a small amount of teaching, working in a collaborative research team at the Wolfson Institute of Population Health.

2 weeks ago

University of Exeter

PhD Studentship: Machine Learning the Building Blocks of the Weather Forecast

  • Exeter
  • Entry level
  • Contract

A PhD project breaking weather forecasting into fundamental building blocks and applying tailored machine learning architectures to each, aiming for models that are more efficient, stable and interpretable outside training regimes. The researcher trains in geophysical fluid dynamics and ML, with hands-on coding, hackathons and close collaboration with Met Office scientists through a CASE partnership.

Met Office

2 days ago

The Alan Turing Institute

Data Scientist, ARC

  • London
  • £46,415 – £52,494 pa
  • Mid-level
  • Permanent

Applies state-of-the-art deep learning and data science to Defence and Security challenges, running investigations and proof-of-concept work across text, image, audio and graph data. Works collaboratively with partner stakeholders, designing rigorous experiments and presenting findings, with some guidance from senior staff.

Version Control

SC clearance Last week

UCL

(Senior) Research Fellow in Statistical Methods

  • London
  • £40,603 – £67,776 pa
  • Senior · manages people
  • Contract

Develops tools for multivariate analysis of neuroimaging data (anatomical MRI, fMRI, M/EEG, OPMs), releases them to the community via SPM, and conducts a mathematical review of existing multivariate techniques. Based in the Neurovascular Modelling Group within UCL's Methods Group, the post requires Bayesian model development, Variational Bayes derivations and strong programming skills.

MATLAB · SPM · MRI +3

Visa sponsorship Last week

University of Essex

Computer Vision AI Data Scientist for eSports (KTP Associate)

  • Milton Keynes
  • Hybrid
  • £41,950 pa
  • Entry level
  • Contract

Develops novel computer vision techniques to capture and analyse live-broadcasted eSports events, identifying in-game events and building low-latency AI calculations for in-play and pre-match betting markets. Works with Python, TensorFlow or PyTorch alongside Java and .NET colleagues, using historical game data and video feeds to detect irregular play patterns.

TensorFlow · PyTorch · .NET

3 weeks ago

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