Data Analyst

We are looking for a Data Analyst to join our team and support data sourcing, curation, analysis, and quality assurance to deliver actionable insights for our clients. This role is ideal for someone who thrives in a fast-paced, collaborative environment, and is eager to tackle complex data challenges with curiosity and precision.

The Data Analyst will be responsible for gathering business requirements, acquiring and manipulating large datasets, and ensuring data integrity throughout. This position requires strong analytical thinking, attention to detail, and the ability to work both independently and collaboratively.

Requirements

Personal Qualities

We're Seeking Someone Who Is

• Organized and deadline-driven
• A self-starter who works well independently
• Collaborative and a strong team player
• Naturally curious with a "detective mindset"
• Technically agile and eager to learn new tools
• Committed to high-quality service delivery
• Comfortable in a multidisciplinary, fast-paced environment
  
  

Responsibilities

Research scientific, clinical trial, and healthcare literature/databases

• Conduct web searches (e.g., blogs, forums, news feeds)
• Clean, validate, and curate data to ensure accuracy and consistency
• Identify and implement improvements to data curation processes
• Deliver high-quality results according to project timelines
• Perform data mining and transformation tasks
• Communicate progress, issues, and results to key stakeholders
• Maintain and update internal documentation and SOPs
• Support training sessions and assist with user onboarding
  
  

Skills Needed

• Proficiency in Microsoft Office (especially Excel)
• AI-oriented mindset with the ability to leverage relevant tools/technologies
• Strong analytical and problem-solving capabilities
• High attention to detail and methodical approach to data quality
• Excellent verbal and written communication in English
• Strong organizational skills and ability to manage competing priorities
• Experience working across cultures, time zones, and functions
• Understanding of conference schedules, abstract submissions, and planning timelines
• Knowledge of biotech and/or pharmaceutical clinical development processes
  
  

Qualifications Needed

• Master's degree in Pharmaceutical Sciences, Biomedical Sciences, Molecular Biology, or related Life Sciences field
• Experience working with large datasets
• Familiarity with databases and/or query languages (e.g., SQL)
• Proficient in English (spoken and written)