Associate Data Scientist

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 Danahers 15 operating companies our work saves lives and were all united by a shared commitment to innovate for tangible impact.

Youll thrive in a culture of belonging where you and your unique viewpoint matter. By harnessing Danahers system of continuous improvement youll 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. Thats 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 1400 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 Bachelors or Masters 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 its a healthcare program professional development opportunities or paid time off our programs contribute to life beyond the job.

Join our winning team today. Together well accelerate the real-life impact of tomorrows science and technology. 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.

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Required Experience:

IC

Employment Type : Full-Time
Experience: years
Vacancy: 1