Senior Laboratory Informatics Manager

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Job Overview:

We are seeking a highly skilled and experienced Senior Laboratory Informatics Manager to lead our data science initiatives within the Translational Informatics department. This role requires a unique blend of laboratory expertise and advanced data science skills to build and manage robust data pipelines, ensure compliance with laboratory Standard Operating Procedures (SOPs), leverage Amazon Web Services (AWS) for data management, and effectively collaborate with product teams to drive data-driven decision-making.

Summary of Duties:

Standardize Data Formats: Transform data from various sources (Word, PDF, XML, JSON) into consistent, machine-readable formats. Ensure the data schema and dictionary are regularly updated to reflect changes.

Data Pipeline Development: Design, implement, and maintain scalable data pipelines that integrate laboratory data with computational analyses, ensuring data integrity, quality, and accessibility for research and product development purposes.

Laboratory Integration: Collaborate closely with laboratory teams to understand experimental workflows, ensure accurate data capture, and translate laboratory findings into actionable insights through computational methods.

AWS Management: Utilize AWS services to develop and manage cloud-based data storage, processing, and analysis solutions, ensuring secure and efficient handling of large-scale datasets.

Cross-Functional Collaboration: Serve as a liaison between data science, laboratory, and product teams to align data strategies with product development goals, facilitate knowledge transfer, and support the integration of data-driven features into products.

Team Leadership: Lead and mentor a team of data scientists and data engineers, fostering a culture of continuous learning, innovation, and collaboration.

Basic Qualifications:

Bachelor s degree in Life Science, Data Science, Computer Science, or a related field.

Strong understanding of laboratory processes and experience working within regulated environments.

Experience in developing and validating laboratory execution protocols within common ELN/LIMS platforms such as LabWare, LabVantage, Biovia, NuGenesis, IDBS, etc.

Experience with other common laboratory control software such as Empower, Tiamo, LabX, OpenLab, Chromeleon.

3-5 years experience in the Pharmaceutical/Biotechnology industry.

Experience with authoring and maintaining cGMP laboratory SOP s.

Experience with cGMP regulations.

Proven experience in cloud engineering, specifically with AWS services.

Familiarity with containerization technologies (Docker, Podman, Kubernetes).

Strong knowledge of machine learning frameworks, and data engineering tools.

Familiarity with version control systems (Bitbucket, Git) and CI/CD practices.

Proficiency in programming languages such as Python and SQL.

Proficiency in Apache Spark for big data processing and analytics.

Ability to synthesize and structure data from multiple sources into standardized, machine-readable formats.

Familiarity with data visualization tools and techniques to effectively communicate complex data insights.

Problem-solving mindset with the ability to navigate complex technical and organizational challenges.

Ability to work in a fast-paced environment and adapt to dynamic situations.

Excellent leadership and team management abilities.

Strong communication skills to effectively collaborate with cross-functional teams and present findings to stakeholders.

Preferred Qualifications:

Master s or PhD degree in Life Science, Data Science, Computer Science, or a related field.

Experience with MLOps practices and tools for deploying and managing machine learning models.

Experience with RESTful services and APIs design and development.