At a Glance
- Tasks: Lead machine learning systems for drug discovery and mentor a talented team.
- Company: Join a certified B Corporation focused on socially responsible recruitment.
- Benefits: Competitive salary, impactful work, and opportunities for professional growth.
- Other info: Be part of an elite team dedicated to therapeutic advancements.
- Why this job: Make a real-world impact in healthcare through innovative AI solutions.
- 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 CorporationTM 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 in Oxford employer: SR2 | Socially Responsible Recruitment | Certified B CorporationTM
Contact Detail:
SR2 | Socially Responsible Recruitment | Certified B CorporationTM Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Bio-ML Engineer — Drive AI for Drug Discovery in Oxford
✨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. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on both technical and soft skills. We recommend practising common ML scenarios and being ready to discuss your experience with Python and ML frameworks.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Lead Bio-ML Engineer — Drive AI for Drug Discovery in Oxford
Some tips for your application 🫡
Show Your Passion for Bio-ML: When writing your application, let your enthusiasm for bio-machine learning shine through! We want to see how your background in life sciences and ML engineering fuels your desire to make a real-world impact in drug discovery.
Tailor Your Experience: Make sure to highlight your relevant experience with Python and ML frameworks. We’re looking for candidates who can demonstrate their skills in a way that aligns with the role, so don’t be shy about showcasing your past projects!
Mentorship Matters: Since this role involves mentoring a small team, share any experiences you have in guiding others. We value collaboration and leadership, so let us know how you've helped others grow in their careers.
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 join our elite team!
How to prepare for a job interview at SR2 | Socially Responsible Recruitment | Certified B CorporationTM
✨Know Your Bio-ML Inside Out
Make sure you brush up on your machine learning concepts, especially as they relate to drug discovery. Be ready to discuss specific projects where you've applied ML in life sciences, and how those experiences can translate to the role at SR2.
✨Showcase Your Team Leadership Skills
Since this role involves mentoring a small team, prepare examples of how you've successfully led or collaborated with others in previous positions. Highlight your ability to inspire and guide others, as well as how you handle challenges within a team setting.
✨Demonstrate Your Technical Proficiency
Be prepared to dive deep into your technical skills, particularly with Python and ML frameworks. You might be asked to solve a problem on the spot, so practice coding challenges related to bioinformatics or drug discovery to showcase your expertise.
✨Align with Their Mission
Research SR2's commitment to socially responsible recruitment and their focus on therapeutic impact. Be ready to discuss how your values align with theirs and how you can contribute to their mission of making a real-world difference through AI in drug discovery.