Scientific Data Engineer - Lawrence Harvey : Job Details

This range is provided by Lawrence Harvey. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$120,000.00/yr - $140,000.00/yr

Scientific Data Engineer

Remote – US-Based

Note: Visa sponsorship is not currently offered

Lawrence Harvey and SciPro are teamed up alongside an innovative technology company at the intersection of data engineering and life sciences, who are looking for a Scientific Data Engineer to join its growing team. This role is ideal for someone passionate about transforming scientific data into meaningful outcomes through scalable pipelines, domain-aware modeling, and collaborative problem-solving.

You'll work with scientific instruments, datasets, and analytics tools to drive insights that accelerate discovery and development in the life sciences. The company partners with top-tier cloud and AI platforms and is building next-generation solutions for the scientific community.

Responsibilities

• Build and optimize data pipelines to ingest and process files from lab instrumentation (.xlsx, .txt, .raw, .fid, and various vendor-specific formats)
• Develop and test modular file parsers and utilities for scientific data normalization
• Design data models tailored to recurring experimental workflows or specific instrument types
• Create dashboards and visualizations using tools like Streamlit, Tableau, or Jupyter
• Work closely with product and engineering teams to ensure solutions meet user needs and deliver clear value

Qualifications

• 3+ years of experience working with Python and SQL in a professional setting
• Background in biology, chemistry, or a related scientific discipline — either through academic training or hands-on experience in pharma/biotech
• Familiarity with scientific data use cases, lab workflows, and instrument output formats
• Strong analytical mindset and interest in emerging technologies, including AI and LLMs
• Excellent communication skills and a collaborative, self-starter approach to work

Seniority level

• Seniority levelMid-Senior level

Employment type

• Employment typeFull-time

Job function

• Job functionEngineering and Research
• IndustriesPharmaceutical Manufacturing and Biotechnology Research

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Inferred from the description for this job

401(k)

Medical insurance

Vision insurance

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