Slavica Dimitrieva

Questioner
DISC Type : c

Associate Director, Oncology Data Science at Novartis

Basel, Basel, Switzerland

Overview

Slavica Dimitrieva is an Associate Director of Oncology Data Science at Novartis with 15 years of experience in computational biology. She leads a multidisciplinary team focused on applying AI to drug discovery and precision medicine, leveraging her expertise in single cell and spatial transcriptomics. She holds a PhD from EPFL.

She was a lead author on the development of MOBER, a deep learning model designed to better integrate preclinical and clinical tumor data to improve translational research.

Personality Overview

Not Easily Convinced

Cautious & Analytical

Price-Sensitive

They generally do not appreciate an overfriendly approach and prefer to stay to-the-point.  While they don't hesitate to ask questions, they are generally risk-averse and tend to be late adopters. They prefer to fully evaluate every situation.

Topics They Care About

AI in Oncology
Her core focus is applying AI and machine learning on multi-modal patient data to discover new targets, biomarkers, and cancer treatments.
Data-Driven Drug Discovery
Passionate about leveraging large-scale multi-omics data, including single-cell analysis, to drive the next generation of oncology therapies.
Translational Research
Develops deep learning models like MOBER to improve the clinical translation of preclinical cancer models, bridging the gap between lab research and patient impact.

Media Appearances

ECCB14 Full Program Book – Speaker: Slavica Dimitrieva (Novartis). Featured in Scribd (Conference Program PDF)

See Now

Work History

5-2024
Associate Director, Oncology Data Science at Novartis
4-2022 - 4-2024
Associate Director and Senior Principal Scientist, Oncology Data Science at Novartis
4-2020 - 3-2022
Investigator III, Oncology Data Science at Novartis
12-2018 - 3-2020
Investigator II (Senior Data Science Expert I), Oncology Data Science at Novartis
9-2014 - 11-2018
Bioinformatics Expert and Lecturer at Functional Genomics Center Zurich, ETH Zurich / University of Zurich

Education

2006 - 2009
Master of Science (MSc) from ETH Zürich
2009 - 2013
PhD from EPFL

More Information

Social Presence :

Prographics :

Exp : 18 Location : Basel, Basel, Switzerland Job Level : Mid-senior Designation : Associate Director, Oncology Data Science at Novartis
URL has been copied!

Insights For Selling To Slavica

During A Call Or A Meeting

DO's

  • Share as much information as possible regarding your product
  • Keep some extra margin in hand as they will likely negotiate the pricing
  • Emphasize on objective proof of ROI, help them do a thorough evaluation

DONT's

  • Avoid phrases like ‘do not worry about’, ‘no one compares to’ etc.
  • Don’t overhype the product/pitch, keep it measured
  • Don’t try to be too friendly or informal with them

When Cold Calling

When Writing An Email

While Negotiating & Closing

    The secret to closing fast with Slavica is

  • Ensuring that the product delivers ROI, cost-effective pricing and process compliance are very important for them.
  • Will you ever get a clear answer from Slavica

  • It doesn’t come naturally to them but they can say no if they are not convinced.

Insights For Deal Planning

    How fast (or slow) will Slavica move?

  • If they have the information that they need, they can move fast at making their decisions.
  • Can Slavica take some risk or not?

  • If they believe that they have analyzed the situation well, they can take a little risk.

You And Slavica

Personality Compatibility


Other Novartis Employees

Explore more public profiles from related professionals at the same organization.

More Profiles

Discover additional public profiles from our index.

Search more profiles

Looking for someone else? Search here for anyone.

Or visit Humantic AI to know more.