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Bioinformatics Data Engineer Jobs in Delaware (NOW HIRING)

Iff

AI & Data Scientist

Wilmington, DE

Bachelor's degree in Data Science, Computer Science, Data Engineering, Bioinformatics, Biochemistry, Biotechnology, Engineering or a related field. * At least five years of experience in data science ...

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Bioinformatics Data Engineer information

How do bioinformatics data engineers typically collaborate with researchers and other teams in a biomedical organization?

Bioinformatics Data Engineers often work closely with biologists, data scientists, and software engineers to ensure the effective collection, processing, and analysis of complex biological data. They regularly participate in cross-functional meetings to understand research goals, develop data pipelines, and troubleshoot data-related issues. Collaboration is essential, as engineers must translate scientific requirements into technical solutions, provide data access and visualization tools, and support researchers in extracting meaningful insights from large datasets. This teamwork fosters a dynamic environment where communication and adaptability are key.

What does a bioinformatics data engineer do?

A bioinformatics data engineer designs, develops, and maintains data pipelines and infrastructure to process large biological datasets. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, accurate, and efficiently managed for research and analysis purposes.

What is the difference between Bioinformatics Data Engineer vs Bioinformatics Analyst?

AspectBioinformatics Data EngineerBioinformatics Analyst
Required CredentialsBachelor's or Master's in Bioinformatics, Computer Science, or related fields; programming skillsBachelor's or Master's in Bioinformatics, Biology, or related fields; data analysis skills
Work EnvironmentData pipelines, database management, software developmentData interpretation, report generation, biological data analysis
Employer & Industry UsageBiotech companies, research labs, pharmaResearch institutions, healthcare, biotech
Common Search & ComparisonFocuses on data infrastructure and pipelinesFocuses on biological data interpretation

The main difference between a Bioinformatics Data Engineer and a Bioinformatics Analyst lies in their focus areas. Data Engineers build and maintain data pipelines and infrastructure, while Analysts interpret biological data to generate insights. Both roles require strong bioinformatics knowledge, but Data Engineers emphasize programming and data management, whereas Analysts focus on biological interpretation and reporting.

What is a bioinformatics data engineer?

A Bioinformatics Data Engineer is a professional who designs, develops, and maintains data infrastructure for managing and analyzing large-scale biological data, such as genomics or proteomics datasets. They build pipelines and tools to process, store, and retrieve complex biological information efficiently. Their work enables researchers and scientists to access and interpret data for discoveries in fields like medicine, genetics, and biotechnology. Often, they collaborate closely with bioinformaticians, data scientists, and software engineers to support research initiatives.

What are the key skills and qualifications needed to thrive as a bioinformatics data engineer, and why are they important?

To thrive as a Bioinformatics Data Engineer, you need a strong background in computer science, biology, and statistics, often supported by a relevant degree and experience in data engineering. Proficiency with programming languages (such as Python, R, or SQL), bioinformatics tools, cloud platforms, and big data frameworks (like Hadoop or Spark) is typically required. Strong problem-solving, collaboration, and communication skills help you work effectively across interdisciplinary teams and convey complex findings. These skills ensure accurate analysis, efficient data pipeline development, and meaningful insights that advance biological research and healthcare solutions.
What are popular job titles related to Bioinformatics Data Engineer jobs in Delaware? For Bioinformatics Data Engineer jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Bioinformatics Data Engineer jobs in Delaware look for? The top searched job categories for Bioinformatics Data Engineer jobs in Delaware are:
What cities in Delaware are hiring for Bioinformatics Data Engineer jobs? Cities in Delaware with the most Bioinformatics Data Engineer job openings:
Bioinformatics Data Engineer jobs near you

AI & Data Scientist

International Flavors and Fragrances

Wilmington, DE • On-site

Other

Posted 8 days ago

International Flavors & Fragrances rating

8.2

Company rating: 8.2 out of 10

Based on 40 frontline employees who took The Breakroom Quiz

88th of 538 rated manufacturers

Job description

Job Summary

Are you passionate about using AI, data science and digital innovation to transform quality operations and accelerate scientific decision-making?

IFF is a global leader in flavors, fragrances, food ingredients and health & biosciences. We deliver sustainable innovations that elevate everyday products.

Health & Biosciences: Channeling our passion for nature and bioscience into sustainable, life-enhancing technologies that power innovative solutions across healthcare, food, consumer and industrial markets.

The role is based in Wilmington, Delaware, United States (on-site role). Be part of a collaborative, innovative and solution-oriented team where together we can achieve greatness and make a real impact. Your potential is our inspiration.

Where You'll Make a Difference
  • Structure, harmonize and manage data across Global Technical Quality systems, including Laboratory Information Management Systems (LIMS), SAP, SharePoint and other digital platforms.
  • Develop and implement data science, machine learning and artificial intelligence solutions that enhance quality processes and scientific decision-making.
  • Build and maintain scalable data pipelines supporting structured and unstructured laboratory, manufacturing and technical datasets.
  • Design and deploy AI-enabled tools, intelligent agents and automated workflows that improve productivity and streamline technical operations.
  • Perform statistical analyses to identify trends, deviations and opportunities for continuous improvement across quality systems.
  • Partner closely with Research & Development, Manufacturing, Regulatory Affairs and Global Quality Assurance teams to advance data-driven quality best practices.
  • Contribute to the continuous improvement of digital infrastructure, data architecture and Global Technical Quality workflows.
  • Ensure data integrity, regulatory compliance and alignment with quality standards and expectations.
  • Communicate technical findings, recommendations and business insights clearly to cross-functional stakeholders.
What Makes You the Right Fit
  • Bachelor's degree in Data Science, Computer Science, Data Engineering, Bioinformatics, Biochemistry, Biotechnology, Engineering or a related field.
  • At least five years of experience in data science, analytics, data engineering or digital transformation roles.
  • Strong expertise in data architecture, data modeling and modern data science methodologies.
  • Advanced proficiency in Python, SQL and data integration, transformation and automation tools.
  • Experience designing, developing and maintaining enterprise data pipelines for structured and unstructured data sources.
  • Hands-on experience with artificial intelligence, machine learning, generative AI and intelligent agent development.
  • Strong statistical analysis, data visualization and problem-solving capabilities.
  • Experience with enterprise platforms such as LIMS, SAP, SharePoint and Microsoft 365 tools.
  • Demonstrated ability to learn new business domains quickly, understand how data is stored and used, and identify opportunities to increase productivity through data-driven solutions.
How Would You Stand Out?
  • Master's or Ph.D degree in Data Science, Artificial Intelligence, Applied Analytics, Data Engineering or a related discipline.
  • Experience working with biotechnology, biochemistry, scientific research or laboratory environments.
  • Proven track record developing AI-enabled solutions such as Microsoft Copilot experiences, knowledge bases, agentic workflows and automation platforms.
Why Choose Us?
  • Opportunity to work on innovative AI and data science initiatives that directly impact global quality operations.
  • Exposure to diverse scientific, laboratory and manufacturing datasets across a global organization.
  • Collaboration with experts across Research & Development, Quality, Manufacturing and Digital Technology teams worldwide.
  • Continuous learning and professional development opportunities in emerging technologies, artificial intelligence and data science.
  • Inclusive workplace that values diverse perspectives, curiosity and innovation.
  • Ability to help shape the future of AI-enabled quality excellence across Health & Biosciences.

We are a global leader in taste, scent, and nutrition, offering our customers a broader range of natural solutions and accelerating our growth strategy. At IFF, we believe that your uniqueness unleashes our potential. We value the diverse mosaic of the ethnicity, national origin, race, age, sex, or veteran status. We strive for an inclusive workplace that allows each of our colleagues to bring their authentic self to work regardless of their religion, gender identity & expression, sexual orientation, or disability.

Visit IFF.com/careers/workplace-diversity-and-inclusion to learn more

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