Data Integration Engineer

Daiichi Sankyo, Inc.•San Diego, CA

1d•$157,920 - $236,880

About The Position

The Data Integration Engineer role requires a highly skilled professional with extensive experience in laboratory automation and data integrations. The ideal candidate will be adept at integrating laboratory devices such as plate readers and mass spectrometers into data layers, ensuring seamless data flow to Electronic Lab Notebooks (ELNs) and Laboratory Information Management Systems (LIMS). This role involves configuring and customizing device outputs, developing templates and protocols for automated data transfer, and managing bidirectional data pipelines within platforms like Tetrascience. The candidate will collaborate closely with automation scientists and system owners to maintain and troubleshoot data systems, ensuring continuous and accurate data capture. A strong background in scripting languages, data formats, and standards used in laboratory instrumentation is essential. Experience in a non-academic research environment and proficiency with cloud-based data integration solutions are highly desirable.

Requirements

Bachelor's Degree degree in science, engineering, or a related field required
Minimum 5 years of laboratory experience in a non-academic research and/or development environment required
Minimum 3 years as an owner, administrator, or super-user of automation and instrumentation used to capture data in scientific lab workflows as part of a LIMS/ELN or other scientific data platform within the life sciences domain required
Proficiency with chromatography (UV and MS/MS) data sets and plate reader data
Familiarity with various liquid handling devices and capturing metadata
Experience with automation schedulers
Proficiency with cloud-based solutions for data integration such as the Tetra Data Platform or similar
Proficiency in scripting-focused languages such as Python
Strong understanding of data formats and standards used in laboratory instrumentation
Excellent problem-solving skills and attention to detail
Strong communication and collaboration skills to work effectively with cross-functional teams required
Experience with cloud-based data management platforms
Experience working collaboratively with software and data engineering teams
Proficiency with scientific data visualization tools such as Vortex or Spotfire

Nice To Haves

Experience with Tetrascience as a data pipeline and Dotmatics ELN preferred

Responsibilities

Integrate laboratory devices such as plate readers, mass spectrometers, and other analytical instruments into the data layer to ensure seamless data flow
Configure and customize device outputs to be compatible with Electronic Lab Notebooks (ELNs) and Laboratory Information Management Systems (LIMS)
Develop and implement templates and protocols for the automated transfer of data from laboratory devices to ELNs and LIMS
Configure file and HTTP output on individual instrumentation with operational and result data to be ingested in real time with data systems
Collaborate with automation scientists on automation workcells, instrument controls, and operations for data integration
Configure and manage bidirectional data pipelines within both TetrascienceData Platform and AWS data platform tools connecting ELN/LIMS and lab orchestration software
Collaborate with LIMS/ELN system owners, data visualization stakeholders, and other system owners to integrate using data platform tools
Maintain and troubleshoot data integration systems to ensure continuous and accurate data capture
Train laboratory personnel on the use and maintenance of integrated devices and data systems
Document integration processes, configurations, and protocols to ensure reproducibility and compliance with regulatory standards
Stay updated with the latest advancements in laboratory device integration and data management technologies