At a Glance
- Tasks: Lead the development of AI systems to revolutionise drug discovery.
- Company: Valence Labs, a pioneering company in scientific discovery and ML research.
- Benefits: Inclusive culture, competitive salary, and opportunities for professional growth.
- Other info: Join a diverse team passionate about pushing the boundaries of science.
- Why this job: Make a real impact on healthcare by applying cutting-edge ML techniques.
- Qualifications: PhD or Master's with 3+ years in ML and strong programming skills.
The predicted salary is between 60000 - 80000 £ per year.
We’re seeking an experienced Research Engineer to shape and lead the development of software and AI systems that will help in our mission of industrializing scientific discovery to radically improve lives. We're looking for individuals with strong engineering skills, including expertise in designing, implementing, improving, and deploying distributed machine learning systems at significant scale. In addition, we highly value proficiency with state-of-the-art machine learning algorithms and exceptional problem-solving skills.
In this role, you will:
- Support Valence Labs’ research agenda across ML for drug discovery.
- Engage with and contribute to open-source libraries developed by Valence and the research community.
- Create and improve novel ML methods that will accelerate drug discovery.
- Collaborate with an interdisciplinary team of dry and wet lab scientists to inform and improve our models and systems.
- Present and communicate research findings through talks, blog posts, publications, and conferences.
A successful candidate will have most of the following:
- PhD or Master's degree with 3+ years of industry experience.
- Strong programming skills and understanding of modern software development practices, especially in Python.
- Scientific knowledge of biology, chemistry, or physics along with previous experience working in a scientific environment across disciplines.
- Experience with real-world natural science data and the associated challenges.
- Experience with high throughput bioassay data such as next-generation sequencing data, cellular imaging data, proteomics data or similar.
- Proven track record in machine learning, including multimodal learning, designing new architectures, hands-on experimentation, analysis, visualization, and model deployment.
- Demonstrated capability to understand and summarize scientific content and implement deep learning models based on descriptions from publications.
- Strong knowledge of linear algebra, calculus, and statistics.
- Passion for applying ML research to real-world problems.
Nice to have:
- Experience in building and deploying high-performance implementations of deep learning algorithms.
- Authorship of publications in peer-reviewed conferences (e.g., NeurIPS, ICML, or ICLR) or journals (e.g. Nature, Science, JACS, or ACS).
- Contribution to high-visibility ML codebases.
Valence Labs is committed to creating a diverse and inclusive environment, where understanding and accommodating personal needs and preferences is a priority. Join our multidisciplinary team of passionate researchers, eager to push the boundaries of ML research and contribute to industrializing scientific discovery to radically improve lives.
Senior Multimodal ML Research Engineer for Drug Discovery in London employer: Valence Labs
Valence Labs is an exceptional employer that fosters a collaborative and inclusive work culture, where innovation thrives and diverse perspectives are valued. With a strong commitment to employee growth, we offer opportunities for professional development through engaging projects in cutting-edge machine learning for drug discovery, alongside a supportive team of interdisciplinary scientists. Located in a vibrant area, our workplace not only prioritises scientific advancement but also promotes a healthy work-life balance, making it an ideal environment for those passionate about making a meaningful impact in the field.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Multimodal ML Research Engineer for Drug Discovery in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with researchers on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to ML and drug discovery. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both scientists and engineers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our mission at Valence Labs.
We think you need these skills to ace Senior Multimodal ML Research Engineer for Drug Discovery in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the role. Highlight your programming skills, ML experience, and any relevant scientific knowledge. We want to see how you can contribute to our mission!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about ML in drug discovery and how your background makes you a perfect fit for our team. Let us know what excites you about this opportunity!
Showcase Your Projects:If you've worked on interesting projects or contributed to open-source libraries, make sure to mention them! We love seeing real-world applications of your skills, especially if they relate to ML or scientific research.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Valence Labs
✨Know Your Stuff
Make sure you brush up on the latest advancements in multimodal machine learning and drug discovery. Familiarise yourself with the specific algorithms and techniques mentioned in the job description, as well as any relevant open-source libraries. This will not only show your expertise but also your genuine interest in the role.
✨Showcase Your Projects
Prepare to discuss your previous projects in detail, especially those involving high-throughput bioassay data or deep learning implementations. Be ready to explain your thought process, the challenges you faced, and how you overcame them. This will demonstrate your problem-solving skills and hands-on experience.
✨Collaborative Spirit
Since the role involves working with interdisciplinary teams, be prepared to talk about your experiences collaborating with scientists from different fields. Highlight any successful partnerships and how they contributed to your projects. This will show that you can communicate effectively and work well in a team setting.
✨Communicate Clearly
Practice explaining complex scientific concepts in simple terms. You might be asked to present your research findings or discuss your methodologies, so being able to articulate your ideas clearly is crucial. Consider preparing a few examples of how you've communicated your work in talks or publications.
