Lab Informatics Lead

Takeda•Boston, MA

About The Position

Takeda is building our Labs of Tomorrow – a fully integrated, data-driven, robotics-enabled research environment where scientific workflows are digitized end-to-end and augmented by automation and AI. The Associate Director of Laboratory Informatics & Digital Lab Architecture will lead the design, implementation, and optimization of Takeda’s next-generation laboratory informatics ecosystem, spanning data pipelines, robotics data capture and integration, and AI-assisted decision systems, as well as integrations with key platform tools (ELN/LIMS). This role ensures that every experiment, from design to execution to analysis, flows through a connected, intelligent digital backbone with complete data traceability, automation readiness, and AI-enriched insights.

Requirements

Bachelor’s, Master’s, or PhD in Computer Science, Bioinformatics, Data Science, Engineering, or related fields.
8+ years of experience in R&D informatics, digital lab systems, high-throughput data workflows, or scientific software.
Leadership experience owning lab informatics platforms and designing integrated scientific informatics architectures.
Experience supporting automated labs, robotics-enabled workflows, and high-throughput/ultra-high-throughput experimentation.
Strong background in scientific data analysis: data QC, curve fitting, statistical modeling, dose–response analytics, and visualization.
Experience delivering scalable data pipelines, dashboards, and automated reporting.
Strong understanding of scientific data structures, assay workflows, metadata models, and traceability frameworks.
Expertise integrating instruments, automation systems, and robotics with ELN/LIMS and analytics tools, specifically Benchling and Revvity Signals.
Proficiency in high-throughput data analytics (IC50/EC50 modeling, kinetics, HTS scoring, and anomaly detection).
Familiarity with cloud-native data engineering, workflow orchestration, and scalable compute environments.
Working knowledge of AI/ML applications supporting lab workflows (predictive QC, automated annotation, LLM augmentation).
Demonstrated success designing, deploying, operating, and supporting laboratory automation platforms and scheduling software, such as HighRes Biosolutions Cellario, BioSero Green Button Go, Thermo Fisher Momentum, or equivalent systems.
Hands‑on experience operating and programming automated liquid handlers, plate readers, imagers, incubators, and associated equipment, with an understanding of assay‑ and hardware‑driven constraints.
Proficiency in one or more modern programming languages (e.g., Python, C#, Java, C++), applied to automation control, workflow orchestration, data processing, or system integration.
Technical expertise in relational database technologies, data modeling, and SQL.
Systems thinker who can connect scientific, data, automation, and engineering needs into a cohesive digital strategy.
Effective communicator with strong cross-functional influencing skills.
Demonstrated ability to lead technical teams and build organizational capability in informatics, automation, and advanced analytics.
High analytical rigor, attention to detail, and commitment to delivering robust, scalable scientific data systems.
Adaptable, proactive, and driven to continuously improve processes in a fast-paced R&D environment.

Responsibilities

Owning the end-to-end strategy, roadmap, and architecture for automated digital lab systems across Research, aligned with our Global DD&T Architecture teams.
Develop and operationalize advanced assay analytics including AI-assisted, automated high throughput statistical and curve-fitting pipelines (IC50/EC50, dose-response modeling, non-linear regression, data and instrument QC, outliner detection, drift analysis).
Develop harmonized experiment templates, assay workflows, and metadata models to ensure scientific and operational consistency across teams and global sites.
Work within our governance frameworks ensuring data integrity, traceability, audit readiness, and full lifecycle management of scientific records.
Architect a modular, API-first informatics ecosystem enabling seamless interoperability between ELN/LIMS, automation platforms, analytics tools, and orchestration platforms to enable a fully automated lab.
Design ELN/LIMS schemas and workflow logic that support automated execution, robot-ready instructions, worklist generation and closed-loop optimization.
Drive development of visualization and dashboarding tools for real-time experiment monitoring, QC insights, throughput metrics, and scientific interpretation.
Ensure all data is FAIR, structured, analytics-ready, and integrated with downstream modeling, ML workflows, and portfolio-level insights.
Serve as the primary owner of relationships with digital lab technology partners, and automation/digital ecosystem suppliers that support our automated labs.

Benefits

U.S. based employees may be eligible to participate in medical, dental, vision insurance, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, a tuition reimbursement program, paid volunteer time off, company holidays, and well-being benefits, among others.
U.S. based employees are also eligible to receive, per calendar year, up to 80 hours of sick time, and new hires are eligible to accrue up to 120 hours of paid vacation.

Stand Out From the Crowd

Upload your resume and get instant feedback on how well it matches this job.

Upload and Match Resume