Pharmaceutical machine learning Work, Jobs (with Salaries)

Machine Learning Scientist
Nucs AI —London
- Full-time
- Hybrid work
- Doctoral degree
- Engineering
- Machine learning
Quick apply
Safety Scientist- Real World Evidence (RWE), EMEA
Thermo Fisher Scientific —Remote
- Full-time
- Remote
- Data analysis skills
- Machine learning
- Travel
5d
Data Scientist
ICON Plc —Livingston
- Full-time
- Azure
- Computer Science
- SQL
- Employee assistance programme
5d
Data Engineer (Healthcare Data)
Pangaea Data —London
- Azure
- Doctoral degree
- Master's degree
- Flexible schedule
Senior Bioinformatician
SynGenSys Limited —Sheffield
- From £52,000 a year
- Full-time
- Hybrid work
- Doctoral degree
- Data analysis skills
- Master's degree
- Life insurance
- Sick pay
Quick apply
9d
Senior Data Scientist
Norstella —Remote
- Full-time
- Remote
- Computer Science
- AWS
- Machine learning
- Annual leave
Healthcare Inception Start Up Lead, Digital Biopharma
NVIDIA —Remote
- Full-time
- Remote
- Engineering
- Master's degree
- Bachelor's degree
Clinical Study Manager
Qureight Ltd —London
- Full-time
- Hybrid work
- Project management
- Machine learning
- Annual leave
- Life insurance
Quick apply
2h
Clinical Operations & Enablement Lead
Nucs AI —London
- Full-time
- Hybrid work
- Master's degree
- Presentation skills
- Bachelor's degree
Quick apply
Research Physician - RWE/Epidemiology
Richmond Pharmacology —London
- Full-time
- Machine learning
- Annual leave
Quick apply
6d
Research / Senior Scientist
Sortera Bio —Cambridge
- Doctoral degree
- Data analysis skills
- Assembly
Quick apply
1d
Sr Manager/Associate Director - Analytics Consulting (Pharma & Life sciences)
Tiger Analytics Inc. —London
- Full-time
- SQL
- Bachelor's degree
- Communication skills
Quick apply
12d
Data Scientist
MEDiSTRAVA —London
- Remote
- Azure
- SQL
- AWS
1d
Principal / Lead Separation Scientist (Chemistry)
Sygnature Discovery —Nottingham
- Full-time
- Doctoral degree
- Master's degree
- Machine learning
- Annual leave
- Employee assistance programme
Quick apply
7d
OMOP Senior Data Scientist - FSP
IQVIA —Brighton
- Full-time
- Remote
- SQL
- Machine learning
- Communication skills
Senior Scientist, Computational Chemistry
Vertex Pharmaceuticals —Oxford
- Full-time
- Doctoral degree
- Data analysis skills
- Scripting
9d
Senior AI / ML Engineer, Medical Imaging
Perceptive —Remote
- Full-time
- Remote
- Azure
- English
- AWS
Principal, Health Economics, Health Technology Assessment
IQVIA —Cambridge
- Full-time
- Master's degree
- IT
- AI
5d
Research Fellow in Theoretical and Mathematical Biology, Medicine, Medical Sciences & Nutrition
University of Aberdeen —Aberdeen
- £38,784 - £46,049 a year
- Full-time
- Doctoral degree
- Machine learning
- IT
Senior Solutions Consultant
Biorelate —Manchester
- Full-time
- Remote
- Laboratory experience
Quick apply

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Machine Learning Scientist

Nucs AI
London

Quick apply

Job details

Full-time

Qualifications

Doctoral degree
PyTorch
Engineering
Machine learning
Deep learning
AI
Python

Full job description

About Nucs AI

Nucs AI is revolutionizing cancer care through cutting-edge AI and medical imaging technology. Founded in 2024 by a multidisciplinary team of oncologists, AI researchers, and healthcare innovators, we’re tackling one of medicine’s most pressing challenges: the growing demand for accurate, timely cancer diagnostics in the face of rising scan volumes and limited radiologist capacity.

We sit at the intersection of diagnostics and treatment planning—building AI-powered tools at the convergence of medical imaging, radioligand therapy, and artificial intelligence. Starting with prostate cancer and expanding across oncology, we partner with world-leading medical institutions and pharmaceutical companies across the US, Europe, and Australia to bring precision oncology into everyday clinical practice.

Our mission is to enhance diagnostic precision and expand access to expert-level cancer care, improving patient outcomes worldwide. We’re venture-backed, early-stage, and building a team that blends deep clinical expertise with engineering intensity—moving with the rigor the medical field demands and the speed the problem deserves.

The Opportunity

Nucs AI is looking for a Machine Learning Scientist to deepen our ML research capabilities in clinical oncology. This is a senior, research-oriented role for someone who wants to develop novel approaches to medical image analysis, treatment outcome prediction, and multi-modal clinical data integration - and see those methods reach real clinical settings.

You’ll work at the intersection of ML research and clinical application, collaborating closely with physicians, medical physicists, and experienced engineers with deep domain expertise. Together, you’ll develop methods that are scientifically rigorous and clinically meaningful. Your work will directly shape our product capabilities and contribute to peer-reviewed science.

What You’ll Do

Research & Method Development

Develop novel ML/DL methods for medical image analysis, including segmentation, lesion detection, longitudinal tracking, treatment response prediction, and outcome modeling
Design and conduct experiments to evaluate new approaches against clinical baselines and state-of-the-art methods
Stay current with the literature and propose research directions that advance Nucs AI’s product and scientific goals
Publish findings in top-tier venues (MICCAI, RSNA, JNM, Medical Image Analysis) and represent Nucs AI at scientific conferences

Clinical Translation

Collaborate with clinicians and medical physicists to ensure methods are grounded in clinical reality
Produce validated research outputs with documented performance benchmarks and clear handoff specifications for production engineering
Contribute to clinical validation studies and evidence generation for regulatory submissions

External Engagement

Collaborate with external academic research partners on joint studies
Support scientific diligence with pharma and clinical partners
Contribute to Nucs AI's scientific credibility in the field

What You Bring

PhD in machine learning, computer vision, medical image analysis, biomedical engineering, or related field
Strong publication record in relevant venues (medical imaging, clinical ML, computer vision)
Experience structuring and executing research collaborations with academic and clinical institutions
Deep expertise in deep learning architectures for image analysis (CNNs, transformers, U-Nets, etc.)
Strong programming skills in Python and deep learning frameworks (PyTorch preferred)
Experience working with medical imaging data (PET/CT, MRI, or similar modalities)
Strong statistical foundations - experimental design, hypothesis testing, survival analysis, and clinical biostatistics

Bonus Points

Experience with nuclear medicine imaging & dosimetry (PSMA-PET, FDG-PET, SPECT)
Expertise in treatment outcome prediction, survival analysis, or longitudinal modeling
Experience with multi-modal data integration (imaging + clinical + genomic)
Familiarity with clinical trial design and regulatory evidence requirements
Prior industry experience translating research into deployed products
Experience with graph neural networks, molecular representations, or drug-response modeling
Experience with Generative AI in medical domain

Why Nucs AI

Mission with real impact – Your work directly improves how cancer patients are diagnosed and treated.
Ground-floor opportunity – Early-stage company, meaningful equity, and outsized influence on the direction we take.
World-class collaborators – Work alongside leading oncologists, nuclear medicine physicians, and AI researchers globally.
Massive market tailwinds – Radioligand therapy and AI-driven oncology are multi-billion dollar growth markets.
Autonomy and flexibility – Remote-first, flexible working. We hire great people and trust them to deliver.
Equity upside – Competitive equity package. We’re building something big and want you to share in it.

How to Apply

Submit your resume and a brief note on why this role and Nucs AI excite you.

Equal Opportunity

Nucs AI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all team members. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

Quick apply

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