At a Glance
- Tasks: Design and develop innovative AI models for cellular biology.
- Company: Join Synlico, an exciting AI-powered Drug Discovery startup.
- Benefits: Remote work, collaborative culture, and opportunities for impactful research.
- Why this job: Make a real difference in medicine with cutting-edge technology.
- Qualifications: Ph.D. in relevant field and experience in machine learning.
- Other info: Be part of a passionate team driving innovation in healthcare.
The predicted salary is between 48000 - 72000 ÂŁ per year.
Synlico Inc. is a resident company of Johnson & Johnson Innovation – JLABS, a premier life science incubator program. Synlico envisions rewriting medicine by bringing causality to cellular biology. We are an AI-powered Drug Discovery startup developing cutting‑edge AI platform to combat diseases with the latest advancements in single‑cell bioinformatics, machine learning, and causal discovery. We are a passionate team of young scientists and professionals who value innovation and teamwork. Our research is highly interdisciplinary and team oriented.
This is a remote contract position in the UK.
What you will do:
- Invent & deliver: Design, prototype, and productionize generative models for cellular‑level biological phenomena.
- Bridge research to product: translate promising prototypes into robust and well‑tested systems.
- Collaborate cross‑functionally: Foster strong collaboration with other team members.
- Lead innovation initiatives: Leading innovation initiatives and incorporating fresh ideas and technologies.
Job Requirement:
- Must have a Ph.D in Computer Science, Artificial Intelligence or related field.
- 3–5+ post‑Ph.D years of industry experience building and deploying ML models.
- Demonstrated research excellence (e.g., strong publication record in top‑tier AI venues) and ability to convert insights into working systems.
- Depth experience in generative modeling. Good understanding of flow models is a plus.
- Strong coding and problem‑solving skills.
- Excellent communication and collaboration skills, proven ability to work independently and collaboratively with minimal supervision.
- Passionate about addressing complex, real‑world challenges and creating impactful, innovative solutions.
Interested candidates please submit your CV with a full list of your publications.
Machine Learning Scientist employer: Synlico Inc.
Contact Detail:
Synlico Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Scientist
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend relevant meetups, and engage with professionals on platforms like LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to machine learning and generative models. We recommend using GitHub or a personal website to display your work. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions and be ready to discuss your past projects in detail. We suggest doing mock interviews with friends or using online platforms to get comfortable.
✨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, we love seeing candidates who are proactive about their job search. So, go ahead and submit your CV along with your publications!
We think you need these skills to ace Machine Learning Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to highlight your experience in machine learning and generative models. We want to see how your skills align with our mission at Synlico, so don’t hold back on showcasing your relevant projects!
Showcase Your Publications: Since we value research excellence, include a full list of your publications in your application. This gives us insight into your contributions to the field and helps us understand your expertise better.
Highlight Collaboration Skills: We’re all about teamwork here at Synlico, so be sure to mention any collaborative projects you’ve worked on. Share examples that demonstrate your ability to work well with others and lead innovation initiatives.
Apply Through Our Website: For the best chance of getting noticed, apply directly through our website. It’s the easiest way for us to keep track of your application and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Synlico Inc.
✨Know Your Stuff
Make sure you brush up on the latest advancements in machine learning and generative models. Be ready to discuss your previous projects and how they relate to Synlico's mission of innovating drug discovery.
✨Show Your Collaborative Spirit
Since this role involves cross-functional collaboration, think of examples where you've successfully worked with others. Highlight your communication skills and how you foster teamwork in your past experiences.
✨Prepare for Technical Questions
Expect some deep dives into your technical expertise, especially around ML models and coding. Practise explaining complex concepts in simple terms, as this will showcase your understanding and ability to communicate effectively.
✨Demonstrate Your Passion
Synlico is looking for someone who is genuinely passionate about solving real-world challenges. Be prepared to share why you're excited about this field and how you envision contributing to their innovative projects.