Director, AI and Data Science

Triveni Bio•Watertown, MA

3d•$240,000 - $255,000

About The Position

Triveni Bio is seeking a versatile Director, AI & Data Science to join their growing Data Science team. This is a high-visibility role, working closely with the Head of Data Science, that sits at the intersection of enterprise AI enablement and hands-on scientific data analysis. The role involves partnering with cross-functional stakeholders to identify and deliver AI/automation opportunities, as well as conducting hands-on research and clinical data science work. The ideal candidate is comfortable with both stakeholder engagement and technical analysis 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 with 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

Nice To Haves

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 (not just chatbot interactions), 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 (e.g., Google Gemini, ChatGPT, Claude), 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 (e.g., exploratory, biomarker, and post-hoc analyses)
Partner with the research team to deliver data visualization, reporting, and exploratory analyses that inform target and program decisions