Biology Research Scientist

Biology Research Scientist

Manchester Full-Time 60000 - 84000 £ / year (est.) Home office possible
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At a Glance

  • Tasks: Train AI models by solving complex biology problems and evaluating their outputs.
  • Company: Join a forward-thinking team focused on innovative AI solutions.
  • Benefits: Flexible remote work, choose your projects, and earn £29.61+ per hour.
  • Why this job: Make a real impact in AI while applying your biology expertise.
  • Qualifications: Expertise in biology; Masters/PhD preferred but not required.
  • Other info: Enjoy a dynamic work environment with opportunities for growth.

The predicted salary is between 60000 - 84000 £ per year.

We are looking for a biology research scientist 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.

Skills, Experience, Qualifications, If you have the right match for this opportunity, then make sure to apply today.

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 $40+ USD 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. PayPal will handle any currency conversions from USD.

INDUKBIO

Job Types: Full-time, Part-time

Pay: From £29.61 per hour

Expected hours: 1 – 40 per week

Work Location: Remote

Biology Research Scientist employer: DataAnnotation

At INDUKBIO, we pride ourselves on being an exceptional employer that values flexibility and innovation. Our remote work culture allows you to choose projects that excite you while maintaining a schedule that fits your lifestyle, all while offering competitive pay and opportunities for professional growth in the dynamic field of AI and biology.
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Contact Detail:

DataAnnotation Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Biology Research Scientist

✨Tip Number 1

Network like a pro! Reach out to fellow researchers, professors, or even old classmates. You never know who might have a lead on a job or can put in a good word for you.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your research projects, publications, or any relevant work. This will give potential employers a taste of what you can bring to the table.

✨Tip Number 3

Prepare for interviews by practising common questions and scenarios related to biology research. We recommend doing mock interviews with friends or mentors to boost your confidence.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing passionate candidates who are eager to join our team!

We think you need these skills to ace Biology Research Scientist

Expert Understanding of Biology
Microbiology
Cell Biology
Genetics
Physiology
Biochemistry
Molecular Biology
Biotechnology
Environmental Science
Inductive Reasoning
Deductive Reasoning
Experimental Design
Data Interpretation
Systems-Level Thinking
Detail-Oriented

Some tips for your application 🫡

Show Off Your Biology Skills: Make sure to highlight your expertise in biology, whether it's through your education or experience. We want to see how your background aligns with the role, so don’t hold back on showcasing your knowledge!

Tailor Your Application: Take a moment to customise your application for this specific role. Mention how your skills and experiences relate to training AI models and evaluating their performance. This will help us see why you’re the perfect fit!

Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon and make sure your passion for biology shines through without unnecessary fluff.

Apply Through Our Website: We encourage you to apply directly through our website. It’s the easiest way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen to join our team!

How to prepare for a job interview at DataAnnotation

✨Know Your Biology Inside Out

Make sure you brush up on your biology knowledge, especially in areas like microbiology, genetics, and biochemistry. Be prepared to discuss specific concepts and how they relate to AI models, as this will show your expertise and passion for the field.

✨Showcase Your Problem-Solving Skills

Since you'll be evaluating AI outputs and solving complex problems, think of examples from your past experiences where you've tackled challenging issues. Be ready to explain your thought process and the methods you used to arrive at solutions.

✨Familiarise Yourself with AI Concepts

Even if your background is primarily in biology, having a basic understanding of AI and machine learning will give you an edge. Research how AI chatbots work and consider how biological data can enhance their performance.

✨Prepare Questions for Them

Interviews are a two-way street! Prepare thoughtful questions about the projects you might work on and the team dynamics. This not only shows your interest but also helps you gauge if the role is the right fit for you.

Biology Research Scientist
DataAnnotation
Location: Manchester
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