At a Glance
- Tasks: Transform clinical decisions by tailoring AI solutions for research and pharma teams.
- Company: Join Perceptic, a leader in AI-driven healthcare innovation.
- Benefits: Enjoy competitive pay, flexible work options, and opportunities for professional growth.
- Other info: Be part of a dynamic team with ownership from day one.
- Why this job: Make a real impact on healthcare by shaping AI tools that improve patient outcomes.
- Qualifications: Experience in AI, data analysis, and strong problem-solving skills required.
The predicted salary is between 59400 - 72600 £ per year.
Perceptic is seeking a Forward Deployed Scientist to work directly with customers—research scientists, clinical teams, and pharma decision-makers—to tailor the platform to their data and workflows.
You'll map decision processes, design evidence models, build plug-ins to internal data sources, and refine prompts for reasoning workflows, then bring insights back to product.
This role sits inside the product team, with real ownership from week one and a path to influence how the platform supports.
Field AI Scientist: Transform Clinical Decisions in London employer: Perceptic
At Perceptic, we pride ourselves on being an exceptional employer, fostering a dynamic work culture that thrives on innovation and collaboration. Our team is driven by a shared mission to revolutionise drug discovery through AI, offering employees unparalleled opportunities for growth and ownership in their projects. Located in a fast-paced environment, we empower our engineers to tackle meaningful challenges while enjoying the benefits of a supportive community that values their contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Field AI Scientist: Transform Clinical Decisions in London
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Perceptic.
✨Apply Directly through Our Website
When you find a suitable opening like Field AI Scientist: Transform Clinical Decisions at Perceptic, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Field AI Scientist: Transform Clinical Decisions in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Perceptic, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Perceptic. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Perceptic
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Perceptic!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.