Associate Data Scientist

Radiometer; Cambridge; On-site; GBP 42,000 - 62,000; Full time

Job summary

Abcam, a Danaher operating company, invites applications for an Associate Data Scientist to develop data-driven solutions across scientific, digital, commercial, and operational functions. You will work closely with data engineers and scientists in Cambridge, applying machine learning to real-world challenges on-site.

The role requires a Bachelor's or Master's in a quantitative field and strong Python skills, with a commitment to clear communication and continuous improvement of data science

Qualifications

• Bachelor's or Master's degree in a quantitative subject.
• Proficiency in Python.
• Familiarity with machine learning concepts, including supervised and unsupervised learning techniques.
• Very strong analytical, problem-solving, and critical-thinking skills.
• Excellent communication skills with the ability to explain technical concepts to non-technical audiences.

Responsibilities

• Explore, clean, and transform complex datasets from multiple sources.
• Apply statistical and machine learning techniques to solve business problems and improve operational performance.
• Collaborate with stakeholders to understand business requirements and translate them into well-defined problems.
• Communicate findings through clear visualisations, presentations, and written recommendations.
• Support the deployment, monitoring, and continuous improvement of data science solutions.

Skills

Python

Machine Learning

Data Analysis

Education

Bachelor's or Master's in a quantitative subject

Tools

AWS

CI/CD

Containerisation

Job description

The Associate Data Scientist supports the development and delivery of data-driven solutions that enable better decision-making across scientific, digital, commercial and operational functions. Initially this will involve supporting existing projects by adding extra functionality but the candidate should be able to take responsibility for a project of their own after six months. Knowledge of Python is essential. Bring more to life. Are you ready to accelerate your potential and make a real difference within life sciences, diagnostics and biotechnology? At Abcam, one of Danaher's 15+ operating companies, our work saves lives, and we're all united by a shared commitment to innovate for tangible impact. You'll thrive in a culture of belonging where you and your unique viewpoint matter. By harnessing Danaher's system of continuous improvement, you'll help turn data into insights that drive better decisions, accelerate scientific discovery, and create meaningful business value. Progress happens together At Abcam, we believe the scientific community goes further, faster when we go there together. That's why we work with life scientists to provide biological reagents and solutions that enable faster breakthroughs in critical areas such as cancer, neurological disorders, infectious diseases, and metabolic disorders. Our talented team of over 1,400 colleagues worldwide is our greatest asset. By applying our expertise and pushing boundaries, together we strive to better serve our customers, strengthen our impact across our industry, and ultimately increase our positive impact on society.

About the role

The Associate Data Scientist supports the development and delivery of data-driven solutions that enable better decision-making across scientific, digital, commercial and operational functions. Working closely with data engineers, life scientists and other business stakeholders, you will apply machine learning to solve real-world challenges. This position reports to the Principal Data Scientist and is part of the Data & AI Team located in Cambridge. It is an on-site role.

In this role, you will have the opportunity to:

• Explore, clean, and transform complex datasets from multiple sources.
• Apply statistical and machine learning techniques to solve business problems and improve operational performance.
• Collaborate with stakeholders to understand business requirements and translate them into well-defined problems.
• Communicate findings through clear visualisations, presentations, and written recommendations.
• Support the deployment, monitoring, and continuous improvement of data science solutions.

The essential requirements of the job include:

• A Bachelor's or Master's degree in a quantitative subject.
• Proficiency in Python.
• Familiarity with machine learning concepts, including supervised and unsupervised learning techniques.
• Very strong analytical, problem-solving, and critical-thinking skills.
• Excellent communication skills with the ability to explain technical concepts to non-technical audiences.

It would be a plus if you also possess one or more of the following:

• Experience with cloud-based computing environments, especially AWS.
• Experience with software development according to CI/CD principles, including containerisation.
• Understanding of causal inference methods, e.g. DAGs.

Abcam, a Danaher operating company, offers a broad array of comprehensive, competitive benefit programs that add value to our lives. Whether it's a healthcare program, professional development opportunities, or paid time off, our programs contribute to life beyond the job.

We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life.

For more information, visit www.danaher.com.

Danaher is a leading global life sciences, biotechnology, and diagnostics innovator, helping to solve many of the world’s most important health challenges, ultimately improving quality of life for billions of people today, while setting the foundation for a healthier, more sustainable tomorrow.