> Markdown version of [/jobs/ext/2693776-scientific-co-director-data-science-and-multimodal-integration](https://www.wearedevelopers.com/jobs/ext/2693776-scientific-co-director-data-science-and-multimodal-integration). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Scientific Co-Director, Data Science and Multimodal Integration - **Company:** Massachusetts Institute of Technology - **Location:** United States - **Salary:** $89,000.0 - $173,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Computer Vision, Bioinformatics, Computer Programming, Data Governance, Data Integration, Data Visualization, Graph Database, Machine Learning, Deep Learning - **Published:** September 3, 2026 - **Apply:** https://careers.peopleclick.com/careerscp/client_mit/external/jobDetails/jobDetail.html?jobPostId=33681&localeCode=en_US ## About the Role REQUIRED: Ph.D. in computer science, computational biology, data science, or a related field with a strong emphasis on AI/ML applications; a minimum of seven years postdoctoral or equivalent research experience applying AI, machine learning (ML), and deep learning (DL) techniques to biological data; experience must include evidence of original or collaborative scholarship documented by publications, software, or deployed intelligent systems; demonstrated expertise in statistical learning, ML, DL computer vision, and NLP methods applied to omics, imaging, and clinical datasets; programming skills with experience in ML/DL frameworks; data visualization and EDA expertise; multi-modal data integration and representation learning across diverse data types; and shared resource and leadership or supervisory experience. PREFERRED: Experience with data governance, FAIR principles, and regulatory compliance; knowledge of explainable AI (XAI) techniques and their application in biomedical contexts; experience with federated learning or other advanced AI paradigms; experience integrating AI models into pipelines; and familiarity with biomedical ontologies, knowledge graphs, or semantic data integration. ## Related Videos - [Geometric deep learning for drug discovery](https://www.wearedevelopers.com/videos/264-geometric-deep-learning-for-drug-discovery) - [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning) - [Putting the Graph In GraphQL With The Neo4j GraphQL Library](https://www.wearedevelopers.com/videos/257-putting-the-graph-in-graphql-with-the-neo4j-graphql-library) - [Big Business, Big Barriers? Stress-Testing AI Initiatives.](https://www.wearedevelopers.com/videos/1022-big-business-big-barriers-stress-testing-ai-initiatives) - [Data: The Deciding Factor in AI Success](https://www.wearedevelopers.com/videos/100310-data-the-deciding-factor-in-ai-success) - [Graphs and RAGs Everywhere... But What Are They? - Andreas Kollegger - Neo4j](https://www.wearedevelopers.com/videos/1311-graphs-and-rags-everywhere-but-what-are-they-andreas-kollegger-neo4j) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud)