Staff Data Scientist, Life Sciences AI (RWE & Meta-Analysis)
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Job Location:
Houston, MS - USA
Monthly Salary:
Not Disclosed
Posted on:
09-11-2025
Vacancies:
1 Vacancy
Job Summary
At IMO Health a core team of software developers data scientists and domain experts combine computer science healthcare and life sciencesexpertiseto help professionals access high-quality health information quickly and are seeking aStaff Data Scientistwith deepexpertisein 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 withcross-functional teamsto design build andoptimizeAI-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 andMLOpsbest practices to deliver robust client-facing solutions in the life sciences domain.
Join our growingData Science & Analyticsdepartmentas aStaffData Scientistto drive AI-powered innovation in healthcare and life sciences!
WHAT YOULL 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 withcross-functionalteams 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 andmaintainscalable 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 andMLOpsbest 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 YOULL NEED:
- PhD preferred (orMasterswith8 years of experience) in Biostatistics Bioinformatics Computer Science Health Informatics ora related field.
- Deep understanding of statistical modeling meta-analysismethodology 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.
- Proficiencyin Python and major ML/NLP frameworks such asPyTorch TensorFlow Hugging Face TransformersLangChain 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 asliteraturesEHR claims or registry data.
- Understanding ofdata privacy ethics and regulatory requirements in healthcare ().
- Proven ability to collaborate cross-functionally with engineers scientistsdomainexpertsand clients.
- Excellent communication documentation and presentation skills;demonstratedexperiencementoring colleaguesandcontributing toscientificpublications or conference presentations in the life sciences domain.
- Curious innovative and solution-oriented mindset with a passion for building tools that advanceevidencegeneration and decision-making in life sciences.
$170000 - $250000 a year
Compensation at IMO Health is determined by job level role requirements and each candidates 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 visitIMO Healths 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.
Required Experience:
Staff IC
Key Skills
- Laboratory Experience
- Bioinformatics
- Biochemistry
- Utility Locating
- Assays
- Research Experience
- Next Generation Sequencing
- Sensors
- Signal Processing
- Matlab
- Research & Development
- Molecular Biology
About Company
From clinical terminology to streamlined workflows to data standardization, we enable insights that help improve patient care across the healthcare ecosystem.
