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- Tasks: Design and develop innovative AI models for cellular biology.
- Company: Join Synlico Inc., a cutting-edge AI-powered drug discovery startup.
- Benefits: Remote work, collaborative culture, and opportunities to lead innovative projects.
- Why this job: Make a real impact in medicine with your machine learning expertise.
- Qualifications: Ph.D. in Computer Science or related field with industry experience.
- Other info: Be part of a passionate team tackling complex real-world challenges.
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 in London employer: Synlico Inc.
Contact Detail:
Synlico Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Scientist in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the field of machine learning and AI, especially those connected to Synlico or similar companies. Attend relevant meetups or webinars to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving generative models or ML systems. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your coding and problem-solving skills. Practice common ML interview questions and be ready to discuss your research and how it translates into real-world applications.
✨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!
We think you need these skills to ace Machine Learning Scientist in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Machine Learning Scientist role. Highlight your relevant experience, especially in generative modeling and any projects that showcase your ability to bridge research and product development.
Showcase Your Publications: Since a strong publication record is key, include a full list of your publications in your application. This not only demonstrates your research excellence but also shows your commitment to advancing the field.
Highlight Collaboration Skills: We value teamwork, so be sure to mention any cross-functional collaborations you've been part of. Share examples of how you’ve worked with others to drive innovation and solve complex problems.
Apply Through Our Website: For the best chance of success, apply directly through our website. It’s the easiest way for us to review your application and see how you fit into our passionate team at Synlico!
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 past projects and how they relate to Synlico's mission of innovating drug discovery. Highlight your research excellence and any publications that showcase your expertise.
✨Show Your Collaborative Spirit
Since this role involves cross-functional collaboration, be prepared to share examples of how you've successfully worked with diverse teams in the past. Emphasise your communication skills and how you foster teamwork, as these are key traits Synlico values.
✨Think Like a Problem Solver
During the interview, demonstrate your problem-solving skills by discussing complex challenges you've faced in your previous roles. Be specific about the methods you used to tackle these issues and how you can apply similar strategies to real-world problems at Synlico.
✨Bring Fresh Ideas
Synlico is looking for someone who can lead innovation initiatives. Prepare to share some fresh ideas or technologies you think could benefit their projects. This shows your enthusiasm for the role and your ability to think outside the box, which is crucial for a position focused on cutting-edge AI solutions.
