Lead Bio-ML Engineer — Drive AI for Drug Discovery

Lead Bio-ML Engineer — Drive AI for Drug Discovery

Full-Time 60000 - 80000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead machine learning systems for drug discovery and mentor a talented team.
  • Company: Join a certified B Corporation™ committed to social responsibility.
  • Benefits: Competitive salary, impactful work, and opportunities for professional growth.
  • Other info: Be part of an elite team focused on therapeutic advancements.
  • Why this job: Make a real difference in healthcare by driving AI innovations.
  • Qualifications: Strong ML engineering background and experience in life sciences required.

The predicted salary is between 60000 - 80000 £ per year.

SR2 | Socially Responsible Recruitment | Certified B Corporation™ is seeking a Lead Bio-ML Engineer in Oxford to own the machine learning systems. This high-impact role involves working with biologists, designing models for drug discovery, and mentoring a small team.

Ideal candidates will have:

  • a strong background in ML engineering,
  • experience in life sciences,
  • production work with Python and ML frameworks.

Join a small elite team focused on real-world therapeutic impact.

Lead Bio-ML Engineer — Drive AI for Drug Discovery employer: SR2 | Socially Responsible Recruitment | Certified B Corporation™

At SR2, we pride ourselves on being a socially responsible employer that champions innovation in the life sciences sector. Our Oxford location offers a collaborative work culture where you can thrive alongside passionate professionals dedicated to making a real-world impact in drug discovery. With opportunities for mentorship and professional growth, we empower our employees to lead transformative projects while enjoying the benefits of a supportive and dynamic team environment.
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Contact Detail:

SR2 | Socially Responsible Recruitment | Certified B Corporation™ Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Lead Bio-ML Engineer — Drive AI for Drug Discovery

Tip Number 1

Network like a pro! Reach out to professionals in the bio-ML space on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that dream role.

Tip Number 2

Showcase your skills! Create a portfolio of your projects, especially those related to drug discovery and ML. We want to see your work in action, so don’t hold back on sharing your successes!

Tip Number 3

Prepare for technical interviews by brushing up on your Python and ML frameworks. We recommend doing mock interviews with friends or using online platforms to get comfortable with the questions you might face.

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.

We think you need these skills to ace Lead Bio-ML Engineer — Drive AI for Drug Discovery

Machine Learning Engineering
Biology Knowledge
Drug Discovery
Python Programming
ML Frameworks
Team Mentoring
Model Design
Production Work

Some tips for your application 🫡

Show Your Passion for Bio-ML: When writing your application, let us see your enthusiasm for bio-machine learning! Share any relevant projects or experiences that highlight your love for the intersection of biology and technology.

Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter to reflect the specific skills and experiences mentioned in the job description. We want to see how your background aligns with our needs in drug discovery and ML engineering.

Highlight Teamwork and Mentorship: Since this role involves mentoring a small team, don’t forget to mention any leadership or collaborative experiences you’ve had. We value candidates who can inspire and guide others in their work.

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity to make a real-world impact!

How to prepare for a job interview at SR2 | Socially Responsible Recruitment | Certified B Corporation™

Know Your Bio-ML Stuff

Make sure you brush up on your machine learning concepts, especially as they relate to drug discovery. Be ready to discuss specific models you've designed or worked with, and how they impacted real-world projects. This shows you're not just knowledgeable but also passionate about the field.

Showcase Your Team Spirit

Since this role involves mentoring a small team, be prepared to talk about your leadership style and experiences. Share examples of how you've successfully collaborated with biologists or other team members in the past. Highlighting your ability to work well in a team will resonate with their focus on elite collaboration.

Get Hands-On with Python

As you'll be working with Python and ML frameworks, it’s crucial to demonstrate your coding skills. Bring examples of your previous work or even be ready for a coding challenge. Practising common algorithms or data manipulation tasks can give you an edge during technical discussions.

Align with Their Mission

Research SR2's commitment to socially responsible recruitment and their B Corporation™ status. Be ready to discuss how your values align with theirs, particularly in terms of making a therapeutic impact. Showing that you care about the bigger picture can set you apart from other candidates.

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