Engineering Science Consultant - Life Sciences (Graduate

This job is with Capgemini, an inclusive employer and a member of my Gwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

As an Engineering Science Consultant within our Life Sciences team, you will combine scientific expertise with data science / AI and software skills to help leading pharmaceutical, biotechnology and consumer health organisations unlock value from their scientific data.

Working alongside bio/chemo informaticians, scientists, software engineers and AI specialists, you will develop and deploy data-driven solutions that support research, experimentation and product development. You will apply modern analytics, machine learning and data engineering techniques to biological, chemical and experimental datasets while helping clients transform their R&D capabilities.

In this role you will play a key role in:

• Collaborating with research scientists to understand scientific problems and translate them into data-driven solutions
• Communicating technical findings and recommendations to both scientific and business audiences
• Developing data pipelines and analytical workflows for scientific and research datasets
• Applying machine learning and AI techniques to solve complex life sciences challenges
• Working with biological, chemical, omics, laboratory, clinical and experimental data
• Creating visualisations, dashboards and decision-support tools for scientific stakeholders
• Creating robust, scalable software solutions that integrate data science capabilities into production environments
• Collaborating with industry experts to understand and solve complex problems using data and insights
• Implementing and optimizing algorithms for data processing, feature extraction, and model training

• Degree, Master's or PhD in a STEM discipline with additional consideration given to candidates with background in Bioinformatics, Biology or Biochemistry
• Ability to communicate technical concepts clearly to diverse stakeholders
• Analytical and problem-solving capabilities
• Experience working with scientific, biological or chemical datasets
• Experience applying data analytics, machine learning or statistical techniques to real-world problems

Desirable

• Experience of using programming languages (e.g. Python, R) and associated ML frameworks, e.g. scikit-learn, Tensor Flow, Py Torch
• Understanding of data structures, algorithms, and software design principles

If you're excited about this role but don’t meet every requirement, we stillencourage you to apply, your unique experience could be just what we need.

• Exposure to top global companies working with Capgemini (145 of the Fortune 500 companies)
• Open access to digital learning platforms​
• Active employee networks promoting diversity, equity and inclusion like Out Front, Cap Ability or Women@Capgemini​

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Capgemini is proud to be a Disability Confident Employer (Level
2) under the UK Government’s Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who:​

• Declare they have a disability, and ​
• Meet the minimum essential criteria for the role.​
• Please opt in during the application process.​

Capgemini. Make it real.​