Project Engineer

Job Title: Data Analyst R&D Laboratory (Scientific Background)
Job Location: Northern VA (Hybrid)
Job Duration: 12 Months on W2
Shift Time: 9:00 AM - 5:00 PM

Position Summary:
The Data Analyst R&D Laboratory will serve as a critical link between scientific research and data-driven decision-making. This role is responsible for analyzing complex experimental and operational data generated within the laboratory environment to generate actionable insights that accelerate research outcomes improve data integrity and enhance lab efficiency.
The ideal candidate brings a strong foundation in scientific research (e.g. chemistry biology or related discipline) combined with advanced data analytics capabilities enabling effective collaboration with scientists while translating data into meaningful business and scientific insights

Key Responsibilities:
Data Analysis & Interpretation:
Analyze experimental assay and analytical data to identify trends patterns and anomalies
Translate complex scientific data into clear actionable insights for R&D teams
Support hypothesis generation experimental design and data-driven decision-making

Scientific Collaboration:
Partner closely with scientists lab managers and R&D leadership to understand research objectives and data needs
Provide analytical support for ongoing experiments clinical development activities and method development
Act as a liaison between scientific teams and data/IT functions

Data Management & Integrity:
Ensure accuracy consistency and integrity of laboratory data across systems (e.g. LIMS ELN)
Develop and maintain data pipelines datasets and reporting structures
Support data governance and compliance with regulatory standards (e.g. GxP ALCOA principles)

Visualization & Reporting:
Develop dashboards and visualizations to communicate key findings and performance metrics
Automate reporting for lab operations experiment tracking and research outcomes
Present insights to both technical and non-technical stakeholders
Process Improvement & Automation
Identify opportunities to improve data capture analysis workflows and reporting efficiency
Implement automation solutions using tools such as Python R SQL or BI platforms
Support digital transformation initiatives within the R&D function

Qualifications:
Education & Experience:
Bachelors or Masters degree in Chemistry Biology Biochemistry Pharmaceutical Sciences or related scientific field (PhD a plus)
37 years of experience in a laboratory or R&D environment with hands-on scientific work
Experience transitioning into or working within a data analytics role preferred

Technical Skills:
Proficiency in data analysis tools (e.g. Python R SQL Excel)
Experience with data visualization tools (e.g. Tableau Power BI Spotfire)
Familiarity with laboratory systems (e.g. LIMS ELN CDS)
Understanding of statistical analysis and experimental design

Domain Knowledge:
Strong understanding of laboratory workflows experimental methods and scientific data structures
Experience in pharmaceutical biotech or life sciences environments preferred
Familiarity with regulatory and compliance requirements (GxP FDA etc.)

Soft Skills:
Ability to communicate complex data to scientific and business audiences
Strong problem-solving and critical thinking skills
Detail-oriented with a focus on data quality and accuracy
Collaborative mindset with ability to work cross-functionally

Key Success Metrics:
Quality and accuracy of data analysis supporting R&D decisions
Timeliness and effectiveness of insights delivered to scientific teams
Improvements in lab data workflows and reporting efficiency
Adoption and usability of dashboards and analytics tools
Contribution to accelerating research timelines and outcomes