Life Sciences Data Engineer

Data Engineer (Life Sciences) Long-Term Contract Opportunity Remote (U.S.) Preference will be given to candidates who are able to commute on an as-needed basis to Central New Jersey. Join a leading pharmaceutical organization as a Data Engineer supporting critical Life Sciences initiatives. This is an excellent opportunity for an early-career professional who is passionate about data engineering, enjoys solving complex problems, and is looking to build a long-term career in a collaborative, data-driven environment. The ideal candidate has strong technical fundamentals in SQL and Python (or R), hands-on industry experience working with data, and a desire to continue learning and growing. The team is committed to investing in individuals who demonstrate curiosity, strong work ethic, and technical potential. What You'll Do Data Engineering & Development • Design, build, and maintain data pipelines that transform raw data into clean, analytics-ready datasets. • Develop Python or R scripts to automate data processing and engineering workflows. • Write, optimize, and maintain complex SQL queries for data extraction, transformation, and validation. • Work with large datasets to support analytical and reporting initiatives. • Ensure data quality, consistency, accuracy, and performance across data pipelines. • Prepare concise analytical summaries using Microsoft Excel. • Utilize Excel and PowerPoint to support business and project deliverables. Analytics & Reporting Support • Support the development of dashboards and reporting solutions for business stakeholders. • Translate business requirements and data rules into technical implementations. • Perform quality assurance, validation, and data integrity checks. • Maintain data governance standards while ensuring patient privacy and regulatory compliance. • Participate in exploratory data analysis and research activities as needed. What We're Looking For • Master's degree in Computer Science, Data Science, Engineering, Analytics, Statistics, Biostatistics, Economics, or another quantitative discipline. • 1–2 years of hands-on industry experience in Data Engineering, Analytics, Software Development, or a related technical role. • Strong SQL skills with experience extracting, transforming, and validating data from relational databases. • Strong programming skills in Python or R. • Experience working with large datasets. • Healthcare data experience (claims, EHR, registries, or similar) is preferred. • Strong analytical thinking and problem-solving abilities. • Ability to understand and accurately implement business rules and data logic. • Highly motivated with a strong desire to learn and grow in a long-term role. • Excellent attention to detail and commitment to producing high-quality work. • Strong communication and collaboration skills. What Success Looks Like • Quickly learns the team's data environment, business logic, and technical tools. • Delivers clean, accurate, and reliable analytical datasets. • Produces efficient, well-structured SQL queries and maintainable Python or R code. • Demonstrates ownership, accountability, and continuous improvement. • Collaborates effectively with cross-functional teams. • Continually develops technical expertise and takes on increasing levels of responsibility. Why Join? • Long-term contract opportunity with a major pharmaceutical organization. • Fully remote position with flexibility. • Opportunity to work on meaningful Life Sciences and healthcare data initiatives. • Collaborative team environment with mentorship and professional growth. • Excellent opportunity to build your career in Data Engineering and Analytics.