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- Tasks: Train AI models by solving complex biology problems and evaluating their outputs.
- Company: Join a cutting-edge team focused on advancing AI in the biological sciences.
- Benefits: Enjoy remote work, flexible hours, and competitive pay starting at £30.36 per hour.
- Why this job: Be part of an innovative project that merges biology with technology for real-world impact.
- Qualifications: Masters/PhD in biology or related fields preferred; detail-oriented and proficient in data interpretation.
- Other info: Payment via PayPal; no fees required from applicants.
The predicted salary is between 63000 - 105000 £ per year.
We are looking for a biostatistician to join our team to train AI models. You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to improve the quality of each model.
If your skills, experience, and qualifications match those in this job overview, do not delay your application.
In this role you will need to hold an expert understanding of biology - a completed or in progress Masters/PhD is preferred but not required. Other related fields include, but are not limited to: Microbiology, Cell Biology, Genetics, Physiology, Biochemistry, Molecular Biology, Biotechnology, Environmental Science.
Benefits:
- This is a full-time or part-time REMOTE position
- You’ll be able to choose which projects you want to work on
- You can work on your own schedule
- Projects are paid hourly starting at £30.36 per hour, with bonuses on high-quality and high-volume work
Responsibilities:
- Give AI chatbots diverse and complex biology problems and evaluate their outputs
- Evaluate the quality produced by AI models for correctness and performance
Qualifications:
- A current, in progress, or completed Masters and/or PhD is preferred but not required
- Fluency in English (native or bilingual level)
- Detail-oriented
- Proficient in biology and inductive/deductive reasoning, experimental design, data interpretation, and systems-level thinking.
Note: Payment is made via PayPal. We will never ask for any money from you.
Biostatistician - AI Trainer employer: DataAnnotation
Contact Detail:
DataAnnotation Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Biostatistician - AI Trainer
✨Tip Number 1
Familiarise yourself with the latest advancements in AI and biostatistics. Understanding how AI models are trained and evaluated will give you a significant edge during interviews, as you'll be able to discuss relevant concepts confidently.
✨Tip Number 2
Network with professionals in the field of biostatistics and AI. Join online forums or LinkedIn groups where you can engage with others, share insights, and learn about potential job openings that may not be advertised widely.
✨Tip Number 3
Prepare to demonstrate your problem-solving skills through practical examples. Be ready to discuss specific challenges you've faced in previous roles and how you approached them, especially in relation to evaluating data and improving model performance.
✨Tip Number 4
Showcase your detail-oriented nature by preparing thoughtful questions about the role and the projects you might work on. This not only demonstrates your interest but also your analytical thinking, which is crucial for a biostatistician.
We think you need these skills to ace Biostatistician - AI Trainer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your expertise in biology and any relevant qualifications, such as a Masters or PhD. Emphasise your experience with data interpretation and problem-solving skills, as these are crucial for the role.
Craft a Compelling Cover Letter: Write a cover letter that specifically addresses the responsibilities and qualifications mentioned in the job description. Explain how your background in biostatistics and biology makes you a perfect fit for training AI models.
Showcase Relevant Experience: Include examples of past projects or roles where you evaluated data or worked with AI technologies. Highlight any experience you have with experimental design or systems-level thinking to demonstrate your suitability for the position.
Proofread Your Application: Before submitting, carefully proofread your application materials for any spelling or grammatical errors. A polished application reflects attention to detail, which is essential for this role.
How to prepare for a job interview at DataAnnotation
✨Showcase Your Expertise
Make sure to highlight your knowledge in biology and any relevant fields during the interview. Be prepared to discuss specific projects or research you've undertaken that demonstrate your understanding of complex biological concepts.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your problem-solving skills, especially related to AI and data interpretation. Practise explaining your thought process clearly, as this will showcase your inductive and deductive reasoning abilities.
✨Demonstrate Attention to Detail
Since the role requires a detail-oriented approach, be ready to provide examples of how you've ensured accuracy in your previous work. This could include discussing how you evaluate data or ensure quality in your outputs.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's AI projects and their expectations for the role. This shows your genuine interest in the position and helps you understand how you can contribute effectively.
