Bioprocess Upstream Data Scientist

Accord Healthcare
Harrow
2 days ago
Create job alert

Bioprocess Upstream Data Scientist

Role: Full-time, permanent

Location: UK (Harrow, London)

Salary: Competitive + bonus + benefits


The Role:

Accord Biopharma London is committed to accelerate the biopharmaceutical development and simplifying workflows. Our mission is to empower teams to bring biopharmaceutical innovative biologic therapies to market faster through streamlined experimentation, data-driven insights, and collaborative process optimization across the group. With a focus on upstream cell culture process development, Biopharma R&D division has built a robust platform that integrates products, and data management to support mammalian cell culture production. This platform enables efficient process development by merging advanced tools with real-time data analytics, fostering innovation and operational excellence.

We’re seeking a proactive and detailed-oriented Research Scientist to join our expanding Upstream Process Development team. This full-time position blend hands-on cell culture experimentation with advanced data analytics, supporting day-to-day operations such as cell revival, subculturing, and batch culture maintenance. You will work closely with Ambr250HT, bioreactors and other state-of-the-art equipment to optimize mammalian cell culture parameters across the clone lifecycle—from inoculation to harvest.

This role is ideal for someone who thrives at the intersection of experimental biology and computational modelling and is passionate about transforming bioprocess data into actionable insights.


Key Responsibilities

  • Design and execute Design of Experiments (DoE) for process optimization, producing data summaries and progress reports.
  • Conduct through exploratory data analysis (EDA) on small- and large-scale, multi-model, and time-series datasets to uncover novel insights that supports process development strategies.
  • Perform daily monitoring and data analysis of cell culture parameters (e.g., cell density, viability, metabolite levels) using advanced bioprocess equipment.
  • Leverage advancements in machine learning, biostatistics, and bioprocess engineering, applying them to continuously strengthen our platform analytical capabilities.
  • Build and maintain reliable systems to clean, organize, and prepare bioprocess data for analysis.
  • Develop and validate statistical and machine learning models, integrating them into internal platforms and tools to support data-driven decision-making across bioprocess development workflows.
  • Troubleshoot technical activities and support lab documentation (COSHH, risk assessments, SOPs).
  • Communicate complex findings through compelling visualizations and reports tailored for both technical and non-technical stakeholders.
  • Collaborate with global teams, including colleagues from Intas Pharmaceuticals, to support cross-functional development efforts.


Requirements

  • Bachelor’s or Master’s degree in Biological Science, Biochemical Engineering, Data Science, Bioinformatics, , or a related field.
  • Hands-on experience with mammalian cell culture and bioreactor operations.
  • Strong knowledge of time-series analysis, differential equations, and statistical modelling.
  • Experience applying data science or machine learning in a biotech, pharmaceutical, or bioprocessing environment.
  • Familiarity with laboratory documentation and safety protocols.
  • Strong communication skills, with the ability to explain complex technical concepts clearly to a diverse group of stakeholders.


Nice-to-Haves

  • Familiarity with cloud platforms (AWS, GCP, Azure) and basic understanding of data storage or analysis tools.
  • Experience with data science libraries, Python, SQL for analysing bioprocess data.
  • Knowledge of numerical optimization techniques and ODE modelling is a plus
  • Exposure to reproducible research practises, and interest in CI/CD, MLOps, concepts.
  • Enthusiasm for mentorship, teamwork, and continuous learning.
  • A practical and thoughtful approach to problem solving, with a focus efficiency and impact.


The Rewards:

In return, we offer a competitive salary package (with bonus, holiday and pension scheme), and a range of other benefits to support our team. Not to mention the opportunity to be part of a new department within a progressive and expanding business with increasing global reach, and the support of ongoing training and development.


How to Apply:

If you possess the experience, passion and ability to make this role a success then we would like to hear from you. Please complete your Candidate Profile on our careers site to apply for this role. The closing date is 21st January 2026. For more information, you can contact us on:


A Bit About Us:

Accord Healthcare Europe is one of the fastest growing pharmaceutical companies in Europe and has one of the largest market footprints of any European generic and biosimilars companies, selling generic medicines in over 80 countries around the world. This global footprint enables us to deliver vital, affordable medicines to national health systems, supporting healthcare professionals to transform patient lives worldwide. The approach of Accord is agile and inventive, always seeking to improve products and patients' access to them. Accord is driven to think differently and deliver more for the benefit of patients worldwide. To continue our growth, we’re looking for the best and brightest technical minds and forward-thinking business professionals. Keeping our people at the heart of all we do, we offer rewarding opportunities for those looking for continued personal and professional growth, investing in training and development tailored to each individual’s focus. So, if you’re looking for an inclusive company to take your career to the next level, you’re certainly in the right place; come and join us to make it better.

Related Jobs

View all jobs

Data Scientist

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.

Maths for Machine Learning Jobs: The Only Topics You Actually Need (& How to Learn Them)

Machine learning job adverts in the UK love vague phrases like “strong maths” or “solid fundamentals”. That can make the whole field feel gatekept especially if you are a career changer or a student who has not touched maths since A level. Here is the practical truth. For most roles on MachineLearningJobs.co.uk such as Machine Learning Engineer, Applied Scientist, Data Scientist, NLP Engineer, Computer Vision Engineer or MLOps Engineer with modelling responsibilities the maths you actually use is concentrated in four areas: Linear algebra essentials (vectors, matrices, projections, PCA intuition) Probability & statistics (uncertainty, metrics, sampling, base rates) Calculus essentials (derivatives, chain rule, gradients, backprop intuition) Basic optimisation (loss functions, gradient descent, regularisation, tuning) If you can do those four things well you can build models, debug training, evaluate properly, explain trade-offs & sound credible in interviews. This guide gives you a clear scope plus a six-week learning plan, portfolio projects & resources so you can learn with momentum rather than drowning in theory.

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.