At a Glance
- Tasks: Solve complex scientific problems and review AI-generated solutions using Python.
- Company: Remote STEM-focused company offering flexible work opportunities.
- Benefits: Competitive pay of $60–$120/hour with a flexible schedule.
- Other info: Part-time role with approximately 15 hours/week and immediate start.
- Why this job: Make an impact in AI training while working on exciting scientific challenges.
- Qualifications: Deep expertise in a STEM field and proficiency in Python required.
The predicted salary is between 120 - 120 £ per hour.
This opportunity is for STEM and scientific-domain experts to contribute to AI training through technical problem-solving, scientific reasoning, data analysis, and Python-based workflows. Candidates need deep expertise in at least one relevant scientific or quantitative field; expertise across all STEM disciplines is not required.
Key Responsibilities
- Solve complex scientific, mathematical, and technical problems within your area of expertise.
- Review AI-generated solutions for scientific, mathematical, and factual accuracy.
- Identify incorrect assumptions, reasoning errors, and overlooked constraints.
- Use Python or other programming languages for calculations, simulations, and validation.
- Provide rigorous, technically accurate solutions and feedback.
Required Qualifications
- Strong expertise in at least one STEM field, such as chemistry, biology, mathematics, physics, geoscience, environmental science, or robotics.
- Practical proficiency in Python or another programming language.
- Strong scientific, mathematical, or quantitative problem-solving skills.
- Experience using coding agents in technical workflows.
Preferred Qualifications
- Familiarity with scientific tools such as NumPy, SciPy, pandas, SymPy, Jupyter, or relevant domain‑specific libraries.
- Relevant expertise gained through academic research, industry, teaching, engineering, or independent technical work.
Compensation
$60–$120/hour, with output-based payment for tasks meeting project specifications. Approximately 15 hours per week with a flexible schedule. Immediate availability preferred; first task expected within 24–48 hours after onboarding.
Research Scientist – Remote in London employer: Synthires
Join a forward-thinking company that values your legal expertise while offering the flexibility of remote work. With competitive compensation and a culture that fosters collaboration across disciplines, you'll have the opportunity to contribute to innovative AI projects that shape the future of legal technology. This role not only allows for meaningful engagement in corporate law but also provides avenues for professional growth in an evolving field.
StudySmarter Expert Advice🤫
We think this is how you could land Research Scientist – Remote in London
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We think you need these skills to ace Research Scientist – Remote 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 Synthires, 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 Synthires. 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 Synthires
✨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 Synthires!
✨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.
