At a Glance
- Tasks: Lead ML solutions for drug discovery using cutting-edge technologies.
- Company: Mission-driven tech company in life sciences, fully remote.
- Benefits: Up to £160,000 salary, attractive stock options, and flexible hours.
- Other info: Collaborative environment with significant influence over technical direction.
- Why this job: Make a real impact in drug discovery while working remotely.
- Qualifications: PhD in computational chemistry and hands-on ML model experience required.
The predicted salary is between 60000 - 80000 £ per year.
The Client: A mission-driven technology company operating in the life sciences domain is seeking a Principal Machine Learning Scientist - hands-on Alphafold, Boltz or Chai to lead the technical direction within its drug discovery platform. The organisation enables collaborative model development across partner organisations while maintaining strict data privacy and ownership, using a federated data infrastructure. In this hands-on, high-impact role, you’ll work at the intersection of machine learning, computational chemistry, and applied research to advance foundational model applications in drug discovery. You'll be the technical authority on ML architecture, experimentation, and strategy, while focusing specifically on data security and privacy. You will also collaborate closely with leadership and mentor other engineers and researchers. While this is not a people management position, it offers significant influence over technical direction.
Responsibilities:
- Lead the design and implementation of ML solutions to deploy on large pharma datasets.
- Develop and extend models for specific applications, including data distillation, benchmarking, and evaluation.
- Define preprocessing and harmonisation strategies for diverse assay datasets.
- Author or contribute to scientific publications or open-source software where appropriate.
3 Month Plan:
- Develop a working understanding of the product, federated training setup, and key life-sciences modelling use cases.
- Reproduce and extend at least one existing modelling pipeline to establish a baseline privacy and attack-surface assessment.
- Contribute to privacy analysis for one or more active federated drug discovery programs as they transition from setup into live operation.
Experience needed:
- PhD in computational chemistry or equivalent.
- Drug discovery experience.
- Hands-on experience building an ML-based model on public and/or internal pharma datasets in the computational chemistry space.
- Strong understanding of OpenFold, AlphaFold, Boltz and co-folding.
- Confidence in building silico models.
- Excellent communicator and connector with stakeholders.
- Excellent planning capabilities for experimental planning and execution.
- Experience in working in consortium is a plus.
Remuneration:
- Fully Remote Working Culture.
- Up to £160,000 Base Salary.
- Attractive Stock Options.
- B2B & Full-time employee options.
- Flexible hours - 3 hours of CET time zone.
If you think you are a good match for the role, send us your CV and if we think you are a good match, we will give you a call!
Locations
Principal Machine Learning Scientist | Alphafold, Boltz, Chai | Series A - Drug discovery Platform | Fully Remote, EU/UK | Base Salary Up to £160,000K, plus early equitybenefits in London, West End employer: Owen Thomas | B Corp™
Join a mission-driven technology company at the forefront of drug discovery, where you'll have the opportunity to lead innovative machine learning initiatives in a fully remote environment. With a competitive salary of up to £160,000 and attractive equity options, this role offers not only financial rewards but also a collaborative work culture that prioritises data privacy and fosters professional growth through mentorship and impactful projects. Embrace the chance to make a significant contribution to life sciences while enjoying flexible working hours tailored to your lifestyle.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Machine Learning Scientist | Alphafold, Boltz, Chai | Series A - Drug discovery Platform | Fully Remote, EU/UK | Base Salary Up to £160,000K, plus early equitybenefits in London, West End
✨Get Involved in Local Research Communities
Tap into local biotechnology meetups and research forums. These are great places to mingle with industry professionals, share your passion, and even discover unadvertised job openings. It's all about getting your face known in the field!
✨Leverage University Alumni Networks
If you're a recent grad, don’t underestimate the power of your university’s alumni network! Reach out to alumni working in biotechnology to gather tips about job openings at companies like Owen Thomas | B Corp™. You'd be surprised how willing people are to help out a fellow grad!
✨Show Off Your Projects
Curate a portfolio showcasing any research projects or internships you've completed in biotechnology. This tangible evidence of your skills can really impress employers when you chat with them at networking events or interviews. It's about making that killer first impression!
✨Stay Up-to-Date with Industry Trends
Biotech is a fast-paced field, so keeping yourself updated with the latest advancements is crucial. Attend industry conferences, webinars, or workshops to broaden your knowledge and meet potential employers. Plus, it’ll give you fantastic talking points for your interviews at places like Owen Thomas | B Corp™!
We think you need these skills to ace Principal Machine Learning Scientist | Alphafold, Boltz, Chai | Series A - Drug discovery Platform | Fully Remote, EU/UK | Base Salary Up to £160,000K, plus early equitybenefits in London, West End
Some tips for your application 🫡
Show Off Your Lab Skills:In the biotechnology field, it's super important to highlight your lab experience in your CV. Be sure to mention specific techniques or instruments you've mastered (think PCR, gel electrophoresis, etc.) and any relevant projects you've worked on. This will show Owen Thomas | B Corp™ that you have the hands-on skills they need.
Tailor Your Technical Skills:Make sure to emphasise your technical skills, especially those relevant to the biotechnology sector. Include any software tools or programming languages you've used, like R or Python for data analysis, which could be key for this role at Owen Thomas | B Corp™.
Craft a Compelling Cover Letter:Since this is a full-time role, your cover letter should reflect not only your passion for biotechnology but also your long-term career ambitions. Share why you're excited about the work that Owen Thomas | B Corp™ does and how you envision contributing to their goals. This shows that you’re not just looking for any job, but you're genuinely invested in this opportunity.
Include Your Papers and Projects:If you've published any papers or contributed to significant projects, mention them! These documents can boost your application and provide tangible evidence of your expertise in the biotechnology field. Don’t forget to link to any relevant publications or project summaries—this can set you apart from other candidates.
How to prepare for a job interview at Owen Thomas | B Corp™
✨Brush Up on Lab Techniques
Since you're eyeing a full-time gig in biotechnology, make sure you're well-versed in the lab techniques relevant to the role. Be ready to talk about PCR, CRISPR, or any specific methods mentioned in the job description at Owen Thomas | B Corp™. You might even be asked to demonstrate your understanding of these processes.
✨Know Your Bioinformatics Tools
Get comfortable with bioinformatics tools that are commonly used in the industry, like BLAST or Bioconductor. These are key in biotechnology, and having hands-on experience or at least familiarity can set you apart. Prepare to discuss any relevant projects you've worked on, especially if they involved data analysis or genomic research.
✨Show Your Teamwork Skills
Biotech often involves collaboration across multiple disciplines. Be ready to share stories that highlight your teamwork and communication skills, especially in research projects. Think about working with different teams at university or any internships – this is where you can show how well you fit into Owen Thomas | B Corp™'s culture.
✨Research Recent Biotech Innovations
Stay updated on the latest trends and breakthroughs in biotechnology. Knowing what's happening in the field can help you engage in more meaningful discussions during your interview. Bring up recent articles or advancements that excite you, especially those related to the work being done at Owen Thomas | B Corp™. This shows your passion for the industry!
