Staff Data Scientist, Life Sciences AI (RWE & Meta-Analysis)

Job Description

Job Description

At IMO Health, a core team of software developers, data scientists, and domain experts combine computer science, healthcare, and life sciences expertise to help professionals access high-quality health information quickly and easily. We are seeking a  Staff Data Scientist  with deep expertise in statistical modeling, meta-analysis methodologies, AI / LLM technologies, and real-world evidence (RWE) generation to help design and develop innovative tools that empower clients to conduct advanced evidence synthesis and analysis.

This role sits at the intersection of science, technology, and client delivery - translating complex analytical workflows into intelligent, scalable software solutions. You will collaborate with cross-functional teams to design, build, and optimize AI-enabled tools for meta-analysis. The ideal candidate will bring strong scientific understanding, product-thinking mindset, and experience implementing cloud-based AI infrastructure, scalable ML pipelines, and MLOps best practices to deliver robust, client-facing solutions in the life sciences domain.

Join our growing Data Science & Analytics department as a  Staff Data Scientist  to drive AI-powered innovation in healthcare and life sciences!

WHAT YOU'LL DO :

• Design and develop AI-driven software tools that enable clients to perform meta-analysis, systematic reviews, and real-world evidence (RWE) generation efficiently and accurately.
• Translate complex statistical and meta-analytic workflows into scalable, automated product features and user-facing applications.
• Collaborate with cross-functional teams to ensure scientific rigor, methodological validity, and usability of developed solutions.
• Leverage LLMs, prompt engineering, and information extraction techniques to automate literature review, data curation, and evidence synthesis from clinical and real-world data sources.
• Build and maintain scalable data and AI pipelines, integrating diverse data sources including structured, unstructured, and real-world datasets.
• Ensure compliance with data privacy, security, and regulatory standards across all data handling and model deployment activities.
• Implement modern software engineering and MLOps best practices, including CI / CD, testing, monitoring, and version control, to support scalable and reliable deployments.
• Evaluate emerging AI / ML and statistical technologies, drive proof-of-concept initiatives, and shape the technical roadmap for evidence-generation tools.
• Interpret and communicate insights effectively to both technical and non-technical stakeholders through visualizations, reports, and presentations.
• Mentor and support team members, fostering skill development in NLP, LLMs, and statistical modeling for healthcare applications.
• Champion a culture of scientific and technical excellence, continuous learning, and innovation in applying AI to healthcare and life sciences challenges.

WHAT YOU'LL NEED :

Compensation at IMO Health is determined by job level, role requirements, and each candidate’s experience, skills, and location. The listed base pay represents the target for new hires with individual compensation varying accordingly. These figures exclude potential bonuses, equity, or sales incentives, which may also be part of the total compensation package. Our recruiter will provide additional details during the hiring process.

IMO Health also offers a comprehensive benefits package. To learn more, please visit IMO Health’s Careers Page.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.