Driving a Digital Future
The Digital Transformation Technical Leaders Program is a multi-month effort designed to develop scientists and engineers into digital scientists and engineers who will become the technical leaders of tomorrow. Through a combination of training and apprenticeship, real problems from the workplace are taken on. Real-time application of techniques ensures that relevant knowledge is gained throughout the program.
The program empowers scientists and engineers to use complex digital tools to solve tough technical problems, often creating entirely new workflows that can transform the way they work and accelerate science innovation.
Accelerating Skills Development
Everyone is fighting for the same digital talent. You can't hire them, and most companies don't have the resources or capabilities to create them. Enthought does. Enthought trains nearly 1,000 scientists and engineers every year, empowering them with the skills needed to accelerate their work leveraging state-of-the-art scientific computing.
A Program for Developing Technical Leaders
|
Duration + Location |
Learning Activity |
Description |
|
Onsite or Virtual (2 weeks) |
Introductory Courses In Scientific Python | Gain foundational skills |
|
Virtual (5 weeks) |
Capstone Project | Bridging the introductory courses and the apprenticeship, these science-based projects test trainees' ability to apply their python skills in a realistic environment. Regular instructor engagement ensures successful project completion. |
|
Virtual (3-5 weeks) |
Apprenticeship Prep | 1. People Selection
2. Project Selection 3. Data Preparation |
|
Onsite or Virtual (3 weeks) |
Apprenticeship on Projects | Full-time intensive project
+ Daily mentoring/support |
|
Virtual (3+ months) |
Project Work + Individual Mentoring | Ongoing mentorship supports the smooth transition of the apprenticeship project into the participants' real-work environment |
Training Resources
What Materials Informatics Looks Like in the Modern R&D Lab
The Modern Materials Science and Chemistry Lab Industry success now more than ever is being dictated by the ability to continuously develop innovative new materials…
Cheat Sheet | Large Language Models+ For Scientific Research
Large Language Models+ For Scientific Research Updated August 2023 LLMs and Tools for R&D To help scientists and researchers navigate the increasing number of advanced…
WEBINAR: What Every R&D Leader Needs to Know About ChatGPT and LLMs
View Webinar-on-Demand Live webinar held on June 27, 2023 Overview ChatGPT and the explosion of advanced Large Language Models (LLMs) are disrupting every industry. We…
WEBINAR: Materials Informatics for Product Development: Deliver Big with Small Data
May 17, 2023 Overview For many industry labs, scientific data has historically been generated to answer specific, immediate research questions and then archived to protect…
Unlocking the Value of High Throughput Screening Pipelines in Small Molecule Drug Discovery
Transforming High Throughput Screening Data into Actionable Insights with Data Modeling and Visualization A mid-size small molecule cancer therapeutics biotechnology company using a custom high…
Why Top Materials Company Idemitsu Partnered with Enthought to Accelerate Product Innovation using Materials Informatics
Idemitsu’s Path to R&D Digital Transformation Idemitsu has a rich 100 year history of developing products alongside leading OEMs from project onset, and today is…
[eBook] Digital Transformation in the Life Sciences Industry
The Lab of the Future: Barriers to Digital Transformation in the Life Sciences Industry Experts predict over the next two years, life sciences companies will…
[eBook] Digital Transformation in the Materials Science Industry
Building the Materials and Chemicals Lab of the Future Materials and chemical companies know that building a digital “lab of the future” to accelerate discovery…
5 Tips to Kickstart Your Journey to the Future-Proofed R&D Lab
5 Tips to Kickstart Your Journey to the Future-Proofed R&D Lab Despite an increase in digital transformation efforts across all industries, 70% fall short…
[White Paper] Optimized Workflows in the Life Sciences
Optimized Workflows: Towards Reproducible, Extensible and Scalable Bioinformatics Pipelines A bioinformatics pipeline is an analysis workflow that takes input data files in unprocessed raw form…
Our Experts
Alexandre Chabot-Leclerc
Vice President, Digital Transformation Solutions
Mark Dickinson
Principal Engineer, Software Architecture
Sandhya Govindraraju
Senior Scientific Software Developer
Sogo Shiozawa
Scientific Software Developer
Kuya Takami
Senior DTX Services Consultant and Instructor