Data Engineer (Life Sciences) - Early Career

Job Title: Data Engineer (Life Sciences)

Location: Fully Remote (U.S. Only)

Experience Level: 1–2 Years

Compensation: Open / Based on Experience

About the Role

We’re looking for a motivated, early-career Data Engineer to support a Life Sciences client in designing and maintaining scalable data pipelines, transforming real-world data into analytics-ready datasets, and enabling insights through downstream analytics and reporting.

This is a fully remote position (U.S. based candidates only), ideal for someone who thrives in a fast-paced, hands-on environment and is eager to grow within the fields of data engineering and analytics. You’ll work closely with a collaborative team of data professionals, with mentorship and growth opportunities available for candidates who bring the right mix of technical foundation, curiosity, and drive.

What You'll Do

Data Engineering & Development

• Design, build, and maintain data pipelines to transform raw data into structured, reliable analytical datasets
• Work with large datasets and apply data transformation workflows
• Develop scripts and automation using Python and/or R
• Write and optimize complex SQL queries for data extraction, transformation, and validation

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• Ensure data quality, accuracy, and performance across pipelines

Analytics & Reporting Support

• Assist in building dashboards and reports for internal and client use
• Translate business rules into technical logic and implement accordingly
• Conduct quality control checks and validation of outputs
• Support exploratory analysis and research initiatives

What We're Looking For

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Statistics, Biostatistics, Economics, or related field
• 1–2 years of hands-on experience in data engineering, analytics, or software development (internships or academic projects welcome)
• Strong knowledge of SQL (required)
• Proficiency in Python and/or R
• Experience working with large datasets and transformation workflows

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• Analytical mindset with excellent problem-solving skills
• High attention to detail and commitment to data quality
• Self-motivated, fast learner with strong collaboration and communication skills
• Eagerness to grow into increased technical responsibility over time

What Success Looks Like

• Quick ramp-up on tools, pipelines, and business rules
• Delivery of clean, accurate, and production-ready datasets
• Efficient and maintainable code and SQL development
• Active contribution to team discussions, improvements, and learning
• Long-term growth and technical ownership within the team

Note: This is a U.S.-based remote role. Candidates must be authorized to work in the U.S. without sponsorship.