Job Description
A leading scientific data and AI technology organization is seeking a
Senior Scientific Data Engineer to play a key role in designing and delivering advanced data solutions for customers in the life sciences sector.
This position is ideal for an experienced data engineering professional who enjoys combining hands-on technical work with technical leadership, solution design, and team mentorship. You will collaborate with product leadership, solution architects, and engineering teams to build scalable data platforms, transform complex scientific datasets, and create production-ready data products that support research, development, and manufacturing initiatives.
Success in this role requires strong expertise in Python, SQL, data architecture, and customer-focused delivery. You will be responsible for driving projects from discovery through deployment while helping to establish best practices across the engineering organization.
Required Skills & Experience
- 8+ years of experience building data products as a Data Engineer or related professional
- 8+ years of hands-on experience with Python and SQL
- Strong background in data modeling, data integration, and data pipeline development
- Experience leading technical projects and coordinating project timelines
- Experience gathering and translating business requirements into technical solutions
- Proven ability to manage multiple customer-facing implementations across cross-functional teams
- Experience developing production-grade solutions with comprehensive testing strategies
- Excellent communication and stakeholder management skills
- Ability to mentor junior engineers and provide technical leadership
Desired Skills & Experience
- Experience building dashboards or data applications using React and/or Streamlit
- Experience with Jupyter Notebooks and analytical applications
- Experience working with scientific, laboratory, or pre-clinical data
- Familiarity with ELN, LIMS, CRO, CDMO, manufacturing, and laboratory instrument data sources
- Experience utilizing AI technologies to improve data engineering workflows
- Life sciences or biotechnology industry experience
What You Will Be Doing
Daily Responsibilities- Lead the design and implementation of scientific data engineering solutions
- Collaborate with product managers and solution architects to define technical requirements
- Build data models, integrations, and scalable data processing frameworks
- Develop AI-assisted schemas and parsers for complex scientific datasets
- Create reusable Python libraries and components to support product development
- Build and maintain high-quality data pipelines with robust testing and validation
- Develop data applications, reports, and dashboards for customer-facing use cases
- Partner with engineering, analytics, and machine learning teams to deliver data products
- Ensure solutions meet customer requirements and provide measurable business value
- Drive improvements in engineering processes, tooling, and product quality
- Lead technical design discussions and architecture reviews
- Mentor and support junior members of the data engineering team
- Help teams achieve delivery milestones and remove project roadblocks
The Offer
- Competitive base salary: $140,000 - $200,000
- Opportunity to work at the forefront of scientific data and AI innovation
- High-impact role with significant ownership and leadership responsibilities
You will receive the following benefits:
- Medical Insurance
- Dental Benefits
- Vision Benefits
- Unlimited Paid Time Off (PTO)
- 401(k)
- Company-Paid Life Insurance
- Company-Paid Short-Term and Long-Term Disability Coverage
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.