OUR COMPANY

“Absolute RxD manages data science projects for the biotech and medical sectors”

Context
Image representing a man watching a screen from Big Data

Data science is a very recent field of computer science and aims exploring or analysing a set of data from various/heterogeneous sources and extracting useful information from it, in order to generate knowledge that was previously unreachable. Data science is based on: computer science, mathematics/statistics and business expertise.

Without a deep understanding of your business expertise, data science provides few relevant solutions adapted to the specific context, in our case a health expertise.

Thus, we understand:

• Biotechnology, which is a cutting-edge field consisting of the application of technology and scientific knowledge to living organisms in order to produce knowledge, goods and services (from OECD definition).

Absolute RXD includes biosafety and bioprocessing in the biotechnology definition.

• Medicine, which can be considered as the art of preventing and curing human diseases. Modern medicine has so far focused on curative care, but few solutions are available today in predictive or preventive medicine.

biotechnologies sur les plantes

Any organisation that will integrate data science into its operations will be able to respond to new health issues quickly and smartly. Thus, Absolute RxD performs for you datamining, datacleansing, data processing and data valuation.
Our areas of data science expertise
Icon representing Biotech

Biotech data

Icon representing the pharmaceutical industry

Pharmaceutical industry data

Icon representing Medical, medtech and clinical research

Medical, medtech and applied research data

Icon representing the biosecurity

Biosafety data
Our objectives
Infographics explaining the three objectivs of Absolute RxD
Objective 1

Bring out new ideas from your organisation’s business experts into proofs of concept.

Infographics explaining the three objectivs of Absolute RxD
Objective 2

Optimise and making sense to your healthcare R&D projects through data.

Objective 3

Coordinate a multidisciplinary team with a common goal.
Our skills
HARD SKILLS DATA
  • Using the most common queries to exploit databases.
  • Application of the main data programming languages.
  • Cleaning and enriching data.
  • Mastering the statistical fundamentals to analyse your data.
  • Mastering the mathematical fundamentals to understand the algorithms used.
  • Working with the main methods of Machine Learning and Deep Learning.
  • Use of visualisation and Big Data tools.
SOFT SKILLS DATA
  • Health knowledge and expertise.
  • Intellectual curiosity.
  • Effective communication.
  • Analytical thinking.
  • Solution - oriented.