Director, AI and Data Science

Triveni Bio, Inc.; Watertown (MA); On-site; USD 240,000 - 255,000; Full time

Benefits offered by this job

Competitive bonus

Equity

Benefits package

Job summary

Triveni Bio is seeking a versatile Director, AI & Data Science to lead a growing Data Science team. You will divide time between engaging stakeholders across Translational Medicine, Biostats, Finance, and BD to identify AI opportunities and delivering tailored solutions, and hands-on research and data science work running analyses and building pipelines.

This role suits someone comfortable with stakeholder discovery sessions and writing Python scripts, thriving in a fast-paced biotech

Qualifications

• Master's degree or above in Data Science, Computer Science, Bioinformatics, Computational Biology or related quantitative field with 5+ years of relevant experience.
• Proficient in Python and/or R.
• Hands-on experience with LLMs / generative AI tools and enterprise AI platforms.

Responsibilities

• Partner with functional leaders to gather requirements and identify high-impact AI/automation use cases.
• Translate requirements into reproducible script-based designs, automating data workflows and AI tools.
• Prototype, evaluate, build, and deploy AI-assisted solutions as reproducible scripts and pipelines.
• Develop an AI use-case roadmap tracking feasibility and impact across the organization.
• Support rollout of AI collaboration tools and provide training and governance.
• Create documentation and training materials to drive adoption across functions.
• Track adoption metrics and iterate on deployed solutions.
• Lead human genetics analyses, including variant interpretation and genotype-phenotype studies.
• Drive real-world evidence data curation and analysis using platforms like TriNetX, All of Us, UK Biobank.
• Build bioinformatics workflows for sequencing data, proteomics/transcriptomics, biomarkers.
• Collaborate with Biometrics/Clinical Development for exploratory analyses in trials.
• Deliver data visualization and reporting to inform target and program decisions.

Skills

Python

R

LLMs

Cloud platforms

Bioinformatics

Data Visualization

Stakeholder engagement

Education

Master's degree or above

Tools

Streamlit

R-Shiny

Job description

COMPANY INTRODUCTION

Triveni Bio is breaking new ground in the identification of novel disease targets – working at the convergence of human genetics, best-in-class antibody design, and precision medicine. We are pioneering a Mendelian genetics-informed precision medicine approach to develop functional antibodies for the treatment of immunological and inflammatory (I&I) disorders. Our lead antibody program (TRIV-509) targets kallikreins 5 and 7 (KLK5/7) to directly impact skin barrier function, inflammation, and itch – providing a meaningful and much needed potential treatment option for patients with atopic dermatitis and other barrier disorders. In all the work we do, we adhere to our core values: patient impact, bold and rigorous science, open collaboration, kindness & respect.

SUMMARY

We are looking for a versatile Director, AI & Data Science to join our 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. You will spend half of your time engaging cross‑functional stakeholders, including Translational Medicine, Biostats, Finance, Business Development, and others, to understand their workflows, identify automation and AI opportunities, and deliver tailored solutions. The remaining half will be dedicated to hands‑on research and clinical data science work, personally running the analyses and building the pipelines.

This is an ideal role for someone who is equally comfortable conducting a stakeholder discovery session as they are writing a Python script, and who thrives in a fast‑paced biotech environment where no two weeks look the same.

RESPONSIBILITIES

AI Enablement & Cross‑Functional Solutions

• 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

Human Genetics, Bioinformatics & Translational Research

• 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

EXPERIENCE & QUALIFICATIONS

• 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
• Understanding of AI governance, data privacy, and safe AI practices in regulated industries desired

$240,000 - $255,000 a year

The posted range reflects the current reasonable and good faith estimate of the base salary for this full‑time position. Actual compensation will be based on a variety of factors including, but not limited to, relevant skills and experience, educational background and certifications, performance and qualifications, market demand for the role, geographic location and other organizational needs. This role also offers a competitive target bonus, equity, and a comprehensive benefits package.

We are committed to fair pay practices, and we regularly review our compensation programs to ensure they are competitive, equitable, and aligned with our values. Please note that the advertised pay range is not a guarantee or promise of a specific wage.