Training & Education

Data sciences & healthcare:

Keep pace with new technologies and regulations.

At DNAlytics, we have a strong focus on the continuing training of our team. We also witness on a daily basis how effective it is when our customers grow themselves in digital maturity. Not for the sake of technology per se, but in close connection with business processes and regulatory landscape. Combining our knowledge of the healthcare industry and our expertise in data sciences, we offer a series of training modules for the healthcare sector.

Continuing education

Essential tools for the success of your team.

Scope: data sciences for the healthcare industry.

Our training catalog is intended to equip persons working in biotech, pharma and healthcare with knowledge in data sciences and digital technology. As a result:

they have a better grasp of potentialities and limitations of modern data sciences tools,
they can better manage digital innovation projects with internal or external stakeholders,
they can even put some concept in practice themselves.

For who?

Collaborators of biotech, pharma, medtech industry, as well as collaborators from the medical practice sector (hospitals, public health, ...).

Modalities.

We are flexible:

private trainings (within organization) or multi-organization trainings,
on-site or online.
theory and practice.

Training offer

Catalog of our training modules.

Pharma & Biotechnology:

Data sciences in biotechnology, introduction
Personalized medicine and the role of data sciences.
Biomanufacturing:
- Introduction to biotech processes
- Biomanufacturing data landscape
- Quality by Design and data-driven Process Development
- Process Analytical Technology
- Continuous process verification
- Digital twins & process optimization
- Troubleshooting
Use of R and Hercule

Medical data interoperability:

Frameworks for data interoperability for first and secondary use medical data (FIHR, OMOP, ...)
Medical data vocabularies (SNOMED, ATC, LOINC, ...)
Advanced topics: Natural Language, LLMs, pseudonymisation, ...
Real-World Data Clinical Studies

Regulatory:

Overview of data openness (privacy / GDPR, open data, health data space, ...)
Computerized Systems Validation (CSV), including aspects of AI systems.

Bioinformatics:

General introduction
Preprocessing NGS and other "omics" data (cleaning, alignment, assembly, annotation, ...)
Data processing for various purposes : variant calling, pathways analysis, biomarker identification, ...
Use of R, python and Galaxy

Machine Learning & AI:

Introduction,
Classification, Regression
Feature selection
Validation and performance evaluation
Generative AI, RAGs, Agents.
Use of R and Python

Arrange your training program

Make sure your team keeps up with digital innovation and regulation.

Questions?

Frequently asked questions

Here are some common questions about our training programs

Where do you deliver the trainings ?

We are based in Belgium, and we can easily get to Western or Central European countries to deliver trainings. In Belgium, we have multiple partnerships with centers providing facilities allowing to deliver these trainings. We prefer to deliver the training to people present with our trainers on site, but we can also arrange online sessions.

Are these trainings theoretical or practical ?

For most topics, we have both theoretical and practical parts available. Based on your expectations, we can tailor the program. Practical parts can consist in quizzes, exercises, projects, and even programming tasks, when relevant.

Are your trainers qualified ?

Our trainers have appropriate education degrees (MSc, PhDs, ...), experience in the healthcare sector, and an extensive practice of data sciences in this field. We combine expertise and experience.