National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Summer Placement - Solubility Data Generation and Modelling with Machine Learning

Pharmaron
Hoddesdon
1 month ago
Applications closed

Related Jobs

View all jobs

Senior Developer - Python

Computer Science PhD Intern - Machine Learning

Data Science Engineer

Data Engineer

Job Introduction

Summer Placement Opportunity - Solubility Data Generation and Modelling with Machine Learning in Pharmaceutical R&D

Location:Hoddesdon
Duration:8 weeks (unpaid) - July & August 2025
Eligibility:Undergraduate students in Chemistry, Chemical Engineering, Pharmaceutical Sciences only
Start Date:July 2025

Are you looking to gain hands-on experience at the intersection of science, automation, and machine learning? We're offering a unique 8-week summer placement at our Hoddesdon site that will give you the chance to contribute to meaningful pharmaceutical research while developing skills that set you apart in industry and academia.

Project Title:Solubility Data Generation and Modelling with Machine Learning

What you'll be working on:

Solubility is a critical factor in designing pharmaceutical processes, from choosing the right solvent to optimising product yield. In this placement, you'll work alongside scientists to:

  • Expand our internal solubility databaseusing high-quality experimental methods
  • Optimise lab proceduresusing automated systems to generate robust solubility data
  • Explore machine learning modelsthat predict solubility based on physicochemical properties (time permitting)
  • Compare and contrastdifferent modelling approaches, including traditional and ML-based techniques
  • Present your findingsin a final report and presentation to our scientific teams


What you'll gain:

  • First-hand experience in pharmaceutical R&D and data-driven experimentation
  • Training in lab techniques for solubility data generation
  • Exposure to industry tools likeDynoChemandPython-based modelling
  • An understanding of real-world applications of machine learning in drug development
  • A strong addition to your CV and a compelling experience to discuss in future job or postgraduate applications


What We Offer:

  • Mentorship from industry professionals.
  • Exposure to cutting-edge research and development.
  • Networking opportunities with experts in the field.
  • A chance to make a meaningful contribution to innovative projects.


Our Company:"We are a dynamic, fast-growing company, with an enviable reputation for leading edge science, offering contract research services to some of the world's leading pharmaceutical companies, solving what were believed to be unsolvable scientific challenges".

We believe in our ability to relentlessly push forward the boundaries of scientific excellence, delivering solutions for our clients, always operating ethically and with integrity. We take pride in our professionalism and commitment to always deliver our very best work.

Pharmaron acquired the Hoddesdon campus, consisting of several purpose built scientific and administrative buildings together with a purpose-built conference area in February 2017. The research building has more than 5,000m2 of premier R&D space and houses an established Process Chemistry, Analytical Chemistry and Drug Discovery teams. In addition, a Formulation Development team was also recently established. The Hoddesdon site has state-of-the-art Good Manufacturing Practice (GMP) standard facilities for the development of Active Pharmaceutical Ingredients (API), Formulation Development (FD) and Process Chemistry (PC).

Pharmaron is a premier R&D service company supporting the life sciences industry. Founded in 2004, Pharmaron has invested in its people and facilities having established diverse drug R&D service capabilities, ranging from synthetic, medicinal, and analytical chemistry, biology, DMPK, pharmacology, drug safety assessment, radiochemistry and isotopically labelled metabolism, chemical & pharmaceutical development to clinical development. With operations in China, US and UK staffed by over 21,000 employees, Pharmaron has an excellent track record in the delivery of R&D solutions to its partners in North America, Europe, Japan, and China.

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.