Data Science Intern, Biomarkers & Data Analytics

Research Internship Opportunities, Biomarkers & Data Analytics

At our company, we are committed to being the premier, research-intensive biopharmaceutical company and are dedicated to providing leading innovations and solutions for today and the future. Our mission is to discover, develop and provide medicines and vaccines that save and improve lives around the world. We strive to transform breakthrough science into novel therapeutics and vaccines, and our scientific curiosity drives us to invent solutions to some of the world's most challenging diseases.

In Singapore, we are located at the Biopolis, the heart of Singapore’s biomedical research community. Here, we are focused on identifying and validating new drug targets, exploring innovative therapeutic modalities, and leveraging clinical studies and patient-derived material to understand biomarkers of disease or therapeutic response to increase our understanding of human biology and to drive a therapeutic pipeline to address unmet medical needs.

As an intern within our research laboratories, you will gain the opportunity to work with talented and dedicated scientists, learn from leading industry experts, gain exposure and professional experience working for a research-driven enterprise; and use your passion, creativity, knowledge, and collaboration skills to find solutions to challenging problems in your day-to-day work.

WHAT YOU WILL DO:

We are seeking a talented and highly motivated intern to join our interdisciplinary team and contribute to our projects in the field of drug discovery. Your primary focus will be on enhancing and facilitating the drug discovery process through activities such as data harmonization, multimodal data analytics (imaging/omics), and AI/ML techniques. Collaboration with scientists from various therapeutic areas will be essential.

In this internship opportunity, you will be working on one or more of the following areas: neuroimaging, wet and dry lab automation, digital pathology, spatial biology, cardiac and metabolic image analysis, and bioinformatics.

Multimodal data analytics for biomarker discovery, validation, and mechanism-of-action elucidation:

• Conduct a comprehensive literature review to formulate methods, hypothesis, applications, and relevant studies.
• Perform data collection, data cleaning, preparation, and visualization for different data sources.
• Architect and manage databases for data management from public and proprietary sources.
• Assist in the development and implementation of high-throughput state-of-the-art AI/ML and other computational algorithms.
• Optimization/automation of existing workflows.
• Usage of cloud-based platforms such as AWS or high-performance computing for computational needs.

Collaborative research and strategic partnerships:

• Collaborate with cross-functional teams on projects.
• Participate in team meetings and contribute to discussions on project progress and findings.
• Present findings and insights to the team and stakeholders.
• Additional tasks, such as exploration of novel computational platforms, could be assigned.

Examples of projects under this internship:

• Neuroimaging data analytics for biomarker discovery and validation.
• AI/ML and image analysis for digital pathology and spatial biology.
• Wet and dry lab automation.
• Computational strategies for integrated analysis of diverse biological datasets.
• Development/validation of image analysis tools for cardiac and metabolic areas.

PREFERRED SKILLS/EXPERIENCE:

• Enrollment in an Undergraduate/Master’s program in a relevant discipline.
• Hands-on experience on projects related to Data Analytics, Machine Learning, and Deep Learning.
• Relevant experience with one or more of these data modalities would be beneficial.
• Proficient with programming/scripting using MATLAB, Bash, Python etc.
• Familiarity with data engineering techniques.
• Experience with Linux/Macintosh platform is preferred.

WHO WE LOOK FOR:

• Strong interest in working in a research-intensive environment.
• Excellent communication and facilitation skills.
• Quick learner and passion for learning.
• Good team player.
• Strong problem-solving skills.
• Availability for 6 months in a full-time capacity preferred.

Employee Status: Intern/Co-op (Fixed Term)

Relocation: No relocation

VISA Sponsorship:

Travel Requirements:

Flexible Work Arrangements: Hybrid

Job Posting End Date: 12/31/2024

Requisition ID: R308263