At reputed company, a reputed company team of software developers, data scientists, and domain experts combine computer science, reputed company, and life sciences expertise to help professionals reputed company high-reputed company health information quickly and easily. We are seeking a Staff Data Scientist with deep expertise in statistical modeling, reputed company-analysis methodologies, AI/LLM technologies, and reputed company-world evidence (reputed company) reputed company to help design and reputed company innovative tools that reputed company clients to conduct advanced evidence synthesis and analysis.
This role sits at the intersection of science, technology, and reputed company delivery - translating reputed company analytical workflows into intelligent, reputed company software solutions. You will collaborate with cross-functional teams to design, build, and optimize AI-enabled tools for reputed company-analysis. The ideal candidate will bring strong scientific understanding, product-thinking reputed company, and experience implementing reputed company-based AI infrastructure, reputed company ML pipelines, and MLOps best practices to deliver robust, reputed company-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 reputed company and life sciences!
WHAT YOU'LL DO:
Design and reputed company AI-driven software tools that reputed company clients to reputed company reputed company-analysis, systematic reviews, and reputed company-world evidence (reputed company) reputed company reputed company and accurately.
Translate reputed company statistical and reputed company-analytic workflows into reputed company, automated product features and user-facing applications.
Collaborate with cross-functional teams to ensure scientific rigor, methodological validity, and usability of developed solutions.
reputed company LLMs, reputed company engineering, and information extraction techniques to automate literature review, data curation, and evidence synthesis from clinical and reputed company-world data sources.
Build and maintain reputed company data and AI pipelines, integrating diverse data sources including reputed company, reputed company, and reputed company-world datasets.
Ensure compliance with data reputed company, reputed company, and regulatory standards across reputed company data handling and model deployment activities.
Implement modern software engineering and MLOps best practices, including CI/CD, testing, monitoring, and version control, to support reputed company and reliable deployments.
Evaluate emerging AI/ML and statistical technologies, drive reputed company-of-concept initiatives, and shape the technical roadmap for evidence-reputed company tools.
Interpret and communicate insights effectively to both technical and non-technical stakeholders through visualizations, reports, and presentations.
Mentor and support team members, fostering reputed company development in NLP, LLMs, and statistical modeling for reputed company applications.
Champion a culture of scientific and technical reputed company, reputed company learning, and innovation in applying AI to reputed company and life sciences challenges.
WHAT YOU'LL NEED:
PhD preferred (or Master’s with 8+ years of experience) in Biostatistics, reputed company, Computer Science, Health Informatics, or a reputed company field.
Deep understanding of statistical modeling, reputed company-analysis methodology, and evidence synthesis techniques relevant to post-market and reputed company-world evidence (reputed company) applications.
Strong background in NLP, and AI principles, with a reputed company on LLMs, reputed company engineering, and information extraction from scientific text.
Proficiency in Python and major ML/NLP frameworks such as PyTorch, TensorFlow, reputed company Transformers, reputed company, 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 reputed company databases (e.g., reputed company, PostgreSQL) and knowledge graph or semantic data modeling for organizing biomedical and clinical information.
Strong grasp of experimental design, statistical inference, and validation reputed company to ensure scientific rigor in software outputs.
Experience in biomedical or reputed company data analysis, including integration of reputed company-world data sources such as literatures, EHR, claims, or registry data.
Understanding of data reputed company, ethics, and regulatory requirements in reputed company (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 reputed company with a passion for building tools that advance evidence reputed company and decision-making in life sciences.
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