Director, AI and Data Science

Triveni Bio•Watertown, MA

About The Position

Triveni Bio is seeking a versatile Director, AI & Data Science to join their Data Science team. This role is highly visible and works closely with the Head of Data Science, bridging enterprise AI enablement and hands-on scientific data analysis. The position requires spending half the time engaging with cross-functional stakeholders to identify and deliver AI/automation opportunities, and the other half on hands-on research and clinical data science work, including analysis and pipeline building. This is an ideal role for someone comfortable with both stakeholder interaction and technical execution in a fast-paced biotech environment.

Requirements

Master's degree or above in Data Science, Computer Science, Bioinformatics, Computational Biology, or a related quantitative field.
5 years of relevant experience in data science, analytics, or AI/ML, preferably in biotech, pharma, or healthcare.
Proficient in Python and/or R.
Hands-on experience with LLMs / generative AI tools (prompt engineering, API integration, or building AI-powered workflows) and experience with enterprise AI platforms.
Familiarity with cloud platforms (AWS, GCP) and data infrastructure and high dimensional data.
Exposure to bioinformatics tools and pipelines (e.g., Omics analysis, variant calling) and statistical human genetics methods (e.g., GWAS/PheWAS, fine-mapping, colocalization, Mendelian randomization, and rare-variant/burden testing).
Experience building internal tools or dashboards (e.g., Streamlit, R-Shiny, web apps).
Strong interpersonal skills; comfortable working with diverse teams across functions (Finance, Clinical, BD, Research) and engaging stakeholders at all levels, from bench scientists to senior leaders.
Self-starter mindset: Comfortable with ambiguity; able to independently scope, prioritize, and deliver in a lean team environment.
Understanding of AI governance, data privacy, and safe AI practices in regulated industries desired.

Responsibilities

Partner with leaders across multiple functions to gather requirements, understand pain points, and identify high-impact AI/automation use cases.
Translate business requirements into reproducible, script-based solution designs, from automated data workflows to LLM-augmented tools.
Prototype, evaluate, build, and deploy AI-assisted solutions as reproducible scripts and pipelines, tailored to each function's needs.
Develop and maintain an AI use-case roadmap tracking opportunities, feasibility, and impact across the organization.
Support the company-wide rollout of AI collaboration tools, including training, best practices, and governance.
Create documentation, SOPs, and lightweight training materials to drive adoption and self-sufficiency within each function.
Track adoption metrics and user feedback to iterate on deployed solutions.
Lead human genetics analyses, including human genetics scoring, variant interpretation, and genotype-phenotype association studies.
Drive real-world evidence (RWE) data curation and analysis using platforms such as TriNetX, All of Us, and UK Biobank.
Build and own bioinformatics workflows (e.g., sequencing data analysis, proteomics/transcriptomics expression profiling, biomarker analysis).
Partner with Biometrics and Clinical Development to support clinical and biomarker data analyses across ongoing trials.
Partner with the research team to deliver data visualization, reporting, and exploratory analyses that inform target and program decisions.