Senior Causal AI Scientist, Research and Development

Job Description

Job Description

Senior Causal AI Scientist, Research and Development

Company Overview

Aitia is the leader in the development and application of Causal AI and Digital Twins to discover the next generation of breakthrough drugs in neurodegenerative disorders, oncology, and immunology. By leveraging the convergence of multi-omic patient data, high-performance computing, and causal learning and AI, Aitia is revealing the hidden biological mechanisms of disease to create Digital Twins. Gemini Digital Twins are being used today to discover novel therapies and accelerate R&D in Alzheimer’s Disease, Parkinson’s Disease, Huntington’s Disease, multiple myeloma, prostate cancer, and pancreatic cancer, with several more in development.

Position Summary

The Senior Scientist will join a dynamic Research and Development team to develop and continue scaling Aitia’s powerful Causal AI and simulation platform and apply the platform to develop Gemini Digital Twins for the discovery of novel causal human drug targets and biomarkers and the simulation of drug candidates and clinical trials.  The candidate will work closely with the Engineering Team on implementation of AI algorithms and with the Precision Medicine Team to develop Gemini Digital Twins.   The candidate will develop and implement AI tools for automating priors, for integrating multi-omic data into Aitia’s Digital Twins and for AI to automate extraction of features and novel biology.

They will communicate scientific findings to partners and collaborators and contribute to presentations at scientific conferences and publications.

Principal Duties and Responsibilities :

• Drive the effort to automate the building of Gemini Digital Twins by incorporating deep learning AI and LLMs into data and prior knowledge pipelines
• Drive the effort to automate through deep learning AI and LLMs the extraction of novel biology from the Gemini Digital Twins
• Contribute to cross-team efforts to build  in silico  patient causal AI models and research into novel model applications for neurodegenerative disorders and oncology therapeutic discovery and development
• Contribute to novel neurodegeneration and cancer genomics knowledge generation through deep data mining from public / proprietary multimodal datasets.
• Communicate technical results clearly and concisely to collaborations, discuss how to incorporate information into their processes, and achieve high impact with biopharmaceutical partners

Job qualifications :

Company Culture

Our philosophy at Aitia is simple :  we cannot transform drug discovery and development with anything less than an all-star team. We are seeking smart, driven people who are experts in their field, have a track record of success, and a passion for creating change. We believe that strong teams supercharge the performance of individuals, create a fun and dynamic workplace, and provide first-class results for our clients and the people they serve. We are passionate about our work and believe in the ability of our technology to change the world. Our core values of integrity, collaboration, value, diversity, and game-changing initiatives guide our behaviors with each other and our clients. Aitia offers competitive salaries, stock options, unlimited vacation, health, dental and vision insurance, life insurance, long-term disability, 401(k), parental leave, tuition reimbursement, professional development, subsidized parking / MBTA pass, tasty food, volunteering opportunities, social gatherings, and more.

Equal Employment Opportunity

Aitia provides equal employment opportunities to all employees and applicants for employment without regard to race, color, national origin, religion, sexual orientation, gender, gender identity or expression, age, veteran status, disability, pregnancy or conditions related to pregnancy, or genetics. In addition to federal law requirements, Aitia complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities.

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