IMO Health · 2 weeks ago
Staff Data Scientist, Life Sciences AI (RWE & Meta-Analysis)
United States
Full-time
Remote
Lead/Staff
$170K/yr - $250K/yr
8+ years expIMO Health is a company that combines expertise in software development, data science, and healthcare to provide high-quality health information. They are seeking a Staff Data Scientist with expertise in statistical modeling and AI technologies to develop innovative tools for evidence synthesis and analysis in the life sciences domain.
Health CareInformation Technology
Responsibilities
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
Qualification
Required
PhD preferred (or Master's with 8+ years of experience) in Biostatistics, Bioinformatics, Computer Science, Health Informatics, or a related field
Deep understanding of statistical modeling, meta-analysis methodology, and evidence synthesis techniques relevant to post-market and real-world evidence (RWE) applications
Strong background in NLP, and AI principles, with a focus on LLMs, prompt engineering, and information extraction from scientific text
Proficiency in Python and major ML/NLP frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, LangChain, and scikit-learn
Demonstrated experience designing and deploying AI-driven analytical tools or platforms, including LLM-based workflows for literature mining, evidence synthesis, or clinical data interpretation
Familiarity with vector databases (e.g., Pinecone, PostgreSQL) and knowledge graph or semantic data modeling for organizing biomedical and clinical information
Strong grasp of experimental design, statistical inference, and validation methods to ensure scientific rigor in software outputs
Experience in biomedical or healthcare data analysis, including integration of real-world data sources such as literatures, EHR, claims, or registry data
Understanding of data privacy, ethics, and regulatory requirements in healthcare (e.g., HIPAA)
Proven ability to collaborate cross-functionally with engineers, scientists, domain experts and clients
Excellent communication, documentation, and presentation skills; demonstrated experience mentoring colleagues and contributing to scientific publications or conference presentations in the life sciences domain
Curious, innovative, and solution-oriented mindset with a passion for building tools that advance evidence generation and decision-making in life sciences
Benefits
Comprehensive benefits package
Company
IMO Health
IMO Health is a clinical data intelligence business at the heart of a digital revolution in healthcare.
201-500 employees
H1B Sponsorship
IMO Health has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (7)
2024 (10)
2023 (6)
2022 (4)
2021 (10)
2020 (4)
Funding
Current Stage
Growth StageTotal Funding
unknownKey Investors
Ascension VenturesWarburg Pincus
2022-03-31Acquired
2017-02-17Series Unknown
2016-10-10Private Equity
Leadership Team
Ann Barnes
Chief Executive Officer
Recent News
2025-07-07
Company data provided by crunchbase