Scientific Data Architect Job at ClinLab Solutions Group, Marion County, IN

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  • ClinLab Solutions Group
  • Marion County, IN

Job Description

Job Title: Scientific Data Architect

Work Location: Marion County, Indiana

DOES OFFER RELOCATION

Summary:

Seeking a Scientific Data Architect to drive the design and implementation of advanced scientific data solutions. This role focuses on transforming complex scientific data into actionable insights, collaborating with cross-functional teams, and leveraging AI/ML methodologies to accelerate scientific outcomes. The ideal candidate is a proactive problem-solver with deep experience in life sciences, data modeling, and cloud-based product development.

Responsibilities:

  • Engage directly with scientific stakeholders to understand data challenges and requirements, building strong relationships and accelerating tailored solutions.
  • Design and implement scalable, reusable data models to efficiently organize scientific data for diverse use cases.
  • Translate scientific workflows into robust, cloud-based solutions using advanced data platforms and tools.
  • Prototype and implement solutions including data model design (tabular & JSON), Python-based parser development, and lab software integration via APIs.
  • Develop data visualization and applications in Python, utilizing frameworks such as Streamlit and plotting tools like holoviews and Plotly.
  • Collaborate with business analysts, scientists, and AI engineers to develop and deploy machine learning, AI, mechanistic, statistical, and hybrid models.
  • Iterate dynamically with end users and technical stakeholders, driving solution adoption through regular demos, meetings, and proactive communication.
  • Rapidly learn and apply new technologies to troubleshoot and develop scientific use cases, while contributing to product roadmap prioritization based on user feedback.

Qualifications:

  • PhD with 7+ years or Master’s with 10+ years of industry experience in life sciences, with extensive domain knowledge in drug discovery, preclinical development, CMC, or product quality testing.
  • Proven experience defining, designing, prototyping, and implementing AI/ML-driven use cases in cloud environments.
  • Strong background collaborating with cross-functional teams, including product managers, engineers, and scientific stakeholders.
  • Expertise in exploratory data analysis and workflow optimization to enable novel scientific outcomes.
  • Excellent communication and storytelling skills, with the ability to engage audiences ranging from scientists to executive stakeholders.
  • Consulting experience advising scientists to advance research, development, and quality testing outcomes.
  • Hands-on experience with Python, data modeling (tabular & JSON), API integration, and scientific application development.
  • Demonstrated ability to rapidly learn new tools, technologies, and scientific domains.
  • Strong ownership mentality and a track record of building extensible data models and applications for scientific end users.

Job Tags

Relocation

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