Internship Data Scientist, Randstad

Randstad

Location:

Belgium, Beerse

Category:

IT - Software Development

Contract Type:

Not provided

Salary:

Not provided

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Job Description:

The Drug Discovery Data Sciences (D3S) group leverages data-driven approaches to enhance the drug discovery process. Our team is composed of interdisciplinary experts in data science, machine learning, bioinformatics and cheminformatics, working collaboratively to accelerate the identification, characterization and development of novel therapeutics and help them reach patients faster. We currently have an internship position for a Data Scientist (m/f) to develop AI-driven chromatographic peak integration to accelerate processing on automated purification systems. Determining substance concentration from raw chromatograms is a complex task that involves manually annotating peaks and demarcating baselines. With the extensive proprietary data accumulated, an AI-driven automated approach is ideally suited to enhance processing efficiency. As an intern in the Drug Discovery Data Sciences group at J&J, you will be instrumental in developing a machine learning solution for chromatographic peak integration, improving the performance of automated purification systems. Success in this role requires effectively incorporating existing Standard Operating Procedures (SOPs) and expert knowledge into a machine learning model, while achieving superior prediction accuracy compared to current standards. Your efforts will streamline chromatographic analysis, significantly boosting the speed and effectiveness of our drug discovery processes. This position provides a distinctive opportunity to apply advanced AI/ML techniques in a practical environment, supporting J&J's commitment to innovation and the delivery of transformative healthcare solutions.

Job Responsibility:

Conduct a literature review on AI/ML techniques used in chromatographic data analysis to gain foundational knowledge and guide project development and strategy
Collaborate with cross-department teams to organize and preprocess chromatogram datasets for machine learning model development
Develop and implement machine learning models that integrate existing Standard Operating Procedures (SOPs) and expert knowledge to automate chromatographic peak integration
Evaluate and validate model performance by comparing predictions against current benchmarks, ensuring accuracy and reliability
Engage in exploratory data analysis to identify patterns and features that can inform model improvements
Maintain thorough documentation of methodologies, experiments, and results to facilitate knowledge sharing and project continuity
Prepare regular progress reports and presentations to communicate findings and insights to the project team and stakeholders
Demonstrate initiative and a proactive approach to learning and problem-solving, seeking timely guidance when necessary
Collaborate with cross-functional teams to integrate feedback and refine project deliverables
Contribute to the development of automated workflows and tools that streamline chromatographic data analysis processes

Requirements:

Possess or be currently pursuing a Master's degree in Data Science, Computer Science, Chemistry, Bioinformatics, or a related field
Demonstrate a strong understanding of machine learning concepts and techniques, with practical experience in applying them
Have proficiency in Python, along with experience using relevant libraries like scikit-learn, TensorFlow, or PyTorch
Exhibit familiarity with data preprocessing and analysis, including experience handling large datasets
Show an ability to work independently and proactively, with strong problem-solving skills and a willingness to learn
Possess excellent communication skills, both written and verbal, to effectively document work and collaborate with team members
Demonstrate experience with data visualization tools and techniques to interpret and present data insights effectively
Have a basic understanding of chromatography and its applications, or a willingness to quickly learn and adapt to this domain

Additional Information:

Job Posted:

March 29, 2025

Expiration:

June 24, 2025

Work Type:

Remote work

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Internship Data Scientist

Randstad

Location: Belgium, Beerse

Category: IT - Software Development

Contract Type: Not provided