MSD Data Science Intern Biomarkers & Analytics 

Singapore, Singapore 

18923496

Job Description

WHAT YOU WILL DO:

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 (e.g. epidemiological/clinical studies)
• Perform data collection, data cleaning, preparation and visualization for different data sources (e.g. big databanks, internal clinical or pre-clinical studies), which might involve harmonizing of multiple modalities, to derive biomarker and/or other relevant insights
• 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 (medical doctors, clinical researchers, statisticians, chemists and biologists) 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, or helping to create data science materials, 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 dataset, such as transcriptomics, proteomics/peptidomics, lipidomics, metabolomics, and metagenomics data
• Development/validation of image analysis tools for cardiac and metabolic areas

PREFERRED SKILLS/EXPERIENCE:

• Enrollment in an Undergraduate/Master’s program leading to a Degree in a Computational Biology/ Bioinformatics/ Precision Medicine/ Engineering/ Computer Science discipline; other programs can be considered on individual merit
• Took relevant courses and had hands-on experience on projects related to Data Analytics, Machine Learning and Deep Learning. This may include projects related to Image Processing/Signal Processing/Biomedical Imaging Systems, Statistics, Pathway Analysis
• Relevant experience with one or more of these data modalities would be beneficial: medical imaging (e.g. MRI, fMRI, CT, whole slight images), omics (e.g., bulk and single-cell transcriptomics, proteomics/peptidomics, lipidomics, metabolomics, metagenomics)
• Relevant experience with biomedical datasets (imaging, clinical, omics) is a plus.

• Proficient with programming/scripting using MATLAB, Bash, Python etc and common libraries.
• Familiarity with data engineering techniques including cloud-based and on-premises database services, database management systems, APIs, and workflow development frameworks.
• Experience with Linux/Macintosh platform and use of command line terminal 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
• Have a positive, proactive, can-do attitude
• Good team player
• Strong problem-solving skills
• Availability for 6 months in a full-time capacity preferred

Current Contingent Workers apply

Intern/Co-op (Fixed Term)

*A job posting is effective until 11:59:59PM on the dayBEFOREthe listed job posting end date. Please ensure you apply to a job posting no later than the dayBEFOREthe job posting end date.

A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.