Biomed AI Innovator — Drug Discovery Accelerator

Biomed AI Innovator — Drug Discovery Accelerator

Entry level 60000 - 80000 € / year (est.) No home office possible
Boehringer Ingelheim

At a Glance

  • Tasks: Join a cutting-edge team to innovate AI solutions in drug discovery.
  • Company: Exciting new AI Accelerator hub in London focused on biomedical advancements.
  • Benefits: Flexible work environment, competitive pay, and opportunities for professional growth.
  • Other info: Be part of a dynamic talent community with future opportunities.
  • Why this job: Make a real difference in healthcare by leveraging AI to improve patient outcomes.
  • Qualifications: Experience in AI, machine learning, or data engineering is a plus.

The predicted salary is between 60000 - 80000 € per year.

Overview

The AI Accelerator is a brand-new London-based hub within @computationalinnovation, comprising computational biology, human genetics, data and AI expertise. The purpose of the AI Accelerator is to provision production-quality, versatile, foundational biomedical AI capabilities that can be adapted and deployed to improve and accelerate portfolio decision‑making, furthering understanding of the biology driving patient outcomes and identifying mechanisms that increase probability of success.

Key Capabilities

  • AI Systems – neural methods integrating data, imputing and inferring across the biomedical landscape (e.g., electronic health records, medical imaging, omics data)
  • AI Reasoning – causality and explainability, predicting intervention outcomes and providing rationale for model decisions (e.g., causal structure for multi‑omics, orthogonal rationale for black‑box models, feature importance)
  • AI Enablement – provisioning harmonised multimodal data, managing model lifecycle, partnering with IT to supply infrastructure and tooling for prototyping, implementation, adaptation and deployment of AI capabilities to advance the portfolio.

Roles & Qualifications

We are looking for AI scientists, machine learning engineers, research engineers, data engineers, MLOps engineers and AI infrastructure engineers from senior to senior staff level, as well as people leaders in AI science and engineering.

Application

Register interest by joining our AI Accelerator talent pool. Please note that this is a talent community, not a particular recruitment process. No follow‑up will be provided; you may be contacted if a suitable opening arises.

Biomed AI Innovator — Drug Discovery Accelerator employer: Boehringer Ingelheim

Join a pioneering team at the AI Accelerator in London, where innovation meets collaboration in the field of biomedical AI. Our vibrant work culture fosters creativity and growth, offering employees ample opportunities for professional development while contributing to impactful projects that enhance patient outcomes. With access to cutting-edge technology and a supportive environment, we empower our team to push the boundaries of science and technology.

Boehringer Ingelheim

Contact Detail:

Boehringer Ingelheim Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Biomed AI Innovator — Drug Discovery Accelerator

Tip Number 1

Network like a pro! Connect with folks in the AI and biomedical fields on LinkedIn or at industry events. You never know who might have the inside scoop on job openings or can put in a good word for you.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those related to AI and drug discovery. This will give potential employers a taste of what you can bring to the table.

Tip Number 3

Stay updated on industry trends! Follow relevant blogs, podcasts, and news sources to keep your knowledge fresh. This will help you stand out in interviews when discussing the latest advancements in AI and biomedicine.

Tip Number 4

Don’t forget to apply through our website! Joining our AI Accelerator talent pool is a great way to express your interest and get noticed. We’re always on the lookout for passionate individuals ready to innovate in drug discovery.

We think you need these skills to ace Biomed AI Innovator — Drug Discovery Accelerator

AI Systems
Neural Methods
Data Integration
Causality and Explainability
Predictive Modelling
Multimodal Data Management
Model Lifecycle Management

Some tips for your application 🫡

Show Your Passion for AI:When writing your application, let your enthusiasm for AI and its potential in drug discovery shine through. We want to see how your interests align with our mission at the AI Accelerator.

Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter for the role you're interested in. Highlight relevant experience and skills that match the job description, so we can see why you’d be a great fit for our team.

Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. Make it easy for us to understand your qualifications and experiences.

Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and keep everything organised as we build our talent pool for future opportunities.

How to prepare for a job interview at Boehringer Ingelheim

Know Your AI Stuff

Make sure you brush up on the latest trends in AI, especially as they relate to biomedical applications. Be ready to discuss neural methods, causality, and explainability in detail. This shows you're not just familiar with the concepts but can also apply them in real-world scenarios.

Showcase Your Problem-Solving Skills

Prepare examples of how you've tackled complex problems in previous roles. Whether it's managing multimodal data or improving model lifecycle management, having specific instances ready will demonstrate your hands-on experience and critical thinking abilities.

Understand the Company’s Vision

Dive deep into the mission of the AI Accelerator and understand how it fits within the broader goals of @computationalinnovation. Being able to articulate how your skills align with their objectives will set you apart from other candidates.

Ask Insightful Questions

Prepare thoughtful questions that show your interest in the role and the company. Inquire about their current projects, challenges they face in drug discovery, or how they envision the future of AI in biomedicine. This not only demonstrates your enthusiasm but also helps you gauge if the company is the right fit for you.