Effecting positive change
on patients' lives
by applying AI to clinical development

What we do

We are on a mission to address some of the most challenging problems in clinical development by applying Machine Learning to rich and expertly curated data.

To do that, we are developing software as a service (SaaS) tools that are based on predictive analytics and are aimed at ensuring sustained impact for our customers.

Data ingestion

iNsight, our proprietary data cube, integrates structured and unstructured data from public data sources.





Built flexibly, allowing the ingestion of private company data.

Our initial suite of products focuses on de-risking clinical development. We provide:

  • Estimates for Probability of Technical and Regulatory Success for drugs in clinical development. Our Machine Learning algorithms produce these estimates based on a rich set of 150+ drivers.

  • A comprehensive view of the relative strength of the predictive drivers behind those estimates, along with recommendations for maximizing regulatory approval.

  • AI-driven trial design optimization, with simulation of various clinical development scenarios.

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Who we are - meet some of our team

Our team has a diverse set of experiences in data science, software engineering, clinical development, biological science, consulting, and academia.

What brings us together is our shared vision for improving clinical development, and a practical mindset of building robust and intuitive SaaS tools that help our customers make better decisions.

Dimitrios Skaltsas
Vangelis Vergetis, PhD
David Baggett
Aristotelis Tsirigos, PhD
Xhenete Lekperic
Kimberly Connelly, RN
Gerry Liaropoulos
Fani Karavassili, PhD
Maria Georganaki, PhD
Dimitris Theodorou, PDEng
Panagiotis Georgakopoulos

Dimitrios Skaltsas – Co-founder, Executive Director

Dimitrios has led McKinsey’s team for big data & AI applications in R&D for life sciences, and has built SaaS products focusing on clinical development. He serves as an advisor, and has also invested, in several technology companies with a focus on big data. He is a digital strategy coach for INSEAD’s executive education program.

MBA (INSEAD), degrees in law (UCL, LMU, University of Athens)


We are actively looking to add exceptional, driven, and fun people to our team: data scientists, software developers, and data engineers; as well as biological scientists, particularly with expertise in oncology. Positions can be based in either New York or Athens, and we offer a competitive compensation package, including stock options.

A “can do” attitude and teamwork are a must. If you are interested and enjoy getting stuff done, drop us a line at careers@intelligencia.ai.

Data scientist

We are looking for a star data scientist with a passion in applying their craft to meaningful problems. You will be working in a multi-disciplinary team to design the overall methodology and approach for delivering novel, data-driven solutions.
Responsibilities include:

  • Developing state of the art data science products by training, augmenting, and refining the appropriate machine learning models.

  • Integrating disparate data sources.

  • Deriving insights that are directly linked to the business issue at hand.

  • Remaining connected to the latest trends and developments within data science.

Skills and Qualifications

  • MS or PhD in Computer Science, Data Science, Engineering, Applied Statistics, or related disciplines.

  • Formal training in statistics and machine learning.

  • Strong programming skills in R and Python. Further experience in SQL, distributed computing/databases (e.g., NoSQL), Matlab, or Scala is a bonus.

  • Demonstrated teamwork and project management skills.

  • Excellent communication and presentation skills.

  • Prior experience in the life sciences sector is a plus.


Back-end engineer

We are looking for a back-end engineer responsible for (a) managing the interchange of data between the server and the users, and (b) building, optimizing and maintaining conceptual and logical database models. Your primary focus will be development of all server-side logic, definition and maintenance of the central database, and ensuring high performance and responsiveness to requests from the front-end.
Responsibilities include:

  • Designing and implementing database models.

  • Designing and implementing the API.

  • Managing the production and testing environment including the servers and the CI/CD pipelines.

  • Collaborating with the data scientist and frontend developer to produce a web-based application for data analysis and visualizations using Machine-Learning algorithms.

  • Continuous development and improvement of the backend infrastructure.

Skills and Qualifications

  • Degree in Computer Science/Engineering or relevant experience.

  • More than 5 years of professional development experience.

  • Understand full service stack, from UI in the frontend to databases in the backend.

  • Proficiency with relational databases (SQL).

  • Hands on experience with backend programming languages (Python preferred).

  • Experience with web-application frameworks (e.g. Flask) and RESTful APIs.

  • Practical experience with cloud services for deployment (Amazon AWS, Azure, Heroku).

  • Teamwork skills with a “can do” problem-solving attitude.

Front-end engineer

We are looking for a front-end engineer with strong experience and a passion in combining the art of design with the art of programming. Responsibilities include translation of the UI/UX design wireframes to actual code that will produce visual elements of our SaaS tools. You will have an active role in defining how the application looks as well as how it works.
Responsibilities include:

  • Developing new user-facing SaaS tools and features.

  • Building reusable code and libraries for future use.

  • Ensuring the technical feasibility of UI/UX designs.

  • Optimizing application for maximum speed and scalability.

  • Collaborating with other team members, including the back-end engineers, and stakeholders.

Skills and Qualifications

  • A minimum of 3 years hands on experience in Javascript development.

  • Proficient understanding of web markup, including HTML5, CSS3.

  • Experience in (or good understanding of) D3.js.

  • Basic understanding of server-side CSS pre-processing platforms, such as LESS and SASS.

  • Proficient understanding of cross-browser compatibility issues and ways to work around them.

Scientific Associate

We are looking for a Scientific Associate with experience and a passion in Oncology, and particularly within ImmunoOncology. The roles includes the ability to identify, extract, curate, and interpret scientific data, as well as being a thought partner in the design of novel solutions in the intersection of ImmunoOncology and big data/Machine Learning.
Responsibilities include:

  • Extracting and interpreting outcomes data (e.g., efficacy and safety) from scientific papers that articulate the results of clinical trials in ImmunoOncology.

  • Expertly curating regulatory (FDA), scientific (e.g., gene-disease association), epidemiological (e.g., incidence/prevalence), and other data.

  • Collaborating with other team members, including the front/back-end engineers, and other stakeholders; and participating into the design of advanced Machine Learning products advancing ImmunoOncology.

Skills and Qualifications

  • Advanced degree (e.g., MD, PhD, or Masters) in the field of ImmunoOncology (and/or Oncology/Immunology).

  • PostDoc experience, and experience in clinical trials is a plus (but not required).