Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join us as a Research Scientist to innovate drug discovery using quantum chemistry and machine learning.
- Company: Isomorphic Labs, an Alphabet company, is revolutionising drug discovery with AI-driven solutions.
- Benefits: Enjoy a hybrid work model, collaborative culture, and opportunities for mentorship and growth.
- Why this job: Make a real impact in healthcare while working in a creative, fast-paced environment with diverse teams.
- Qualifications: PhD or equivalent experience in a technical field; strong background in computational chemistry and ML.
- Other info: We value diversity and inclusivity, fostering a supportive environment for all team members.
The predicted salary is between 48000 - 84000 Ā£ per year.
Research Scientist (Quantum Chemistry and Machine Learning), LondonLondon
Isomorphic Labs is applying frontier AI to help unlock deeper scientific insights, faster breakthroughs, and life-changing medicines with an ambition to solve all disease.
The future is coming. A future enabled and enriched by the incredible power of machine learning. A future in which diseases are curtailed or cured starting with better and faster drug discovery.
Come and be part of an interdisciplinary team driving groundbreaking innovation and play a meaningful role in contributing towards us achieving our ambitious goals, while being a part of an inspiring and collaborative culture.
The world we want tomorrow is the one we\āre building today. It starts with the culture at this company. It starts with you.
About IsoIsomorphic Labs (IsoLabs) was launched in 2021 to advance human health by building on and beyond the Nobel-winning AlphaFold system. Since then, our interdisciplinary team of drug discovery experts and machine learning specialists has built powerful new predictive and generative AI models that accelerate scientific discovery at digital speed.
Our name comes from the belief that there is an underlying symmetry between biology and information science. By harnessing AI\ās powerful capabilities, we can use it to model complex biological phenomena to help design novel molecules, anticipate how drugs will perform and develop innovative medicines to treat and cure some of the world\ās most devastating diseases.
We have built a world-leading drug design engine comprising AI models that are capable of working across multiple therapeutic areas and drug modalities. We are continually innovating on model architecture and developing cuttingāedge capabilities to advance rational drug design.
Every day, and with each new breakthrough, we\āre getting closer to the promise of digital biology, and achieving our ambitious mission to one day solve all disease with the help of AI.
Research Scientist, Quantum Chemistry and Machine Learning, LondonYour impactAs a Research Scientist in Quantum Chemistry and Machine Learning you will play an exciting role in building greenfield machine learning based models and algorithms that will power our platform to transform the drug discovery world as we know it.
Working in a highly creative, fastāpaced and interdisciplinary environment, you will be partnering with leading engineers and scientists to simulate biochemistry on a computer thus helping us develop cuttingāedge predictive models which will be critical to the organisation\ās success. You will draw upon your existing deep research experience whilst learning from those around you, to apply novel techniques and ideas to newly encountered computational biology and chemistry problems.
You will be instrumental in leading computational chemistry based research projects, predicting relevant experimental quantities and helping to generate data to train algorithms that will power our platform to transform the drug discovery world as we know it.
What you will do
Contribute to our drug development projects by using your extensive knowledge of theoretical chemistry to run accurate and relevant simulations.
Develop the computational infrastructure to run simulations at scale through our cloud compute platform.
Generate synthetic datasets that help improve the performance of our ML models.
Report and present research findings and developments clearly and efficiently, to both other ML scientists and scientists of different disciplines.
Iterate collaboratively with scientists and domain experts, sharing your own domain experience.
Suggest and engage in team collaborations to meet ambitious research goals.
Depending on your experience:
Provide technical mentorship and guidance to the ML research community, advising on projects, and shaping our research roadmap based on your deep technical expertise.
Provide developmental support to other ML research scientists.
Create, lead, and run ML research projects, fostering collaborative and diverse teams to solve high priority modelling problems. Cultivate a diverse and inclusive research culture.
Skills and qualifications
PhD or equivalent practical experience in a technical field.
A proven track record in applying computational chemistry to predict relevant experimental quantities in an applied research field.
Strong scientific knowledge of biology, chemistry, or physics.
Exposure to applied ML research.
Depending on your experience: project supervision, leadership, or management.
Nice to have
PhD in chemistry or physics.
Relevant research experience to the position such as postdoctoral roles, a proven track record of publications, or contributions to machine learning codebases.
Experience using ML frameworks such as JAX, PyTorch, or TensorFlow, and scientific software such as NumPy, SciPy, or Pandas.
Strong knowledge of linear algebra, calculus and statistics.
Experience working in a scientific environment across disciplines (particularly biology, chemistry, physics).
Experience working with biological or chemical data and biological or chemistry software.
Experience working with realāworld datasets.
Experience with ML on accelerators.
Experience in any of: largeāscale deep learning, generative models, graph neural networks, deep learning for drug discovery, deep learning for computer vision, 3D graphics/robotics, realāworld applied RL.
Culture and valuesThoughtfulThoughtful at Iso is about curiosity, creativity and care. It is about good people doing good, rigorous and futureāmaking science every single day.
BraveBrave at Iso is about fearlessness, but it\ās also about initiative and integrity. The scale of the challenge demands nothing less.
DeterminedDetermined at Iso is the way we pursue our goal. It\ās a confidence in our hypothesis, as well as the urgency and agility needed to deliver on it. Because disease won\āt wait, so neither should we.
TogetherTogether at Iso is about connection, collaboration across fields and catalytic relationships. It\ās knowing that transformation is a group project, and remembering that what we\āre doing will have a real impact on real people everywhere.
Creating an extraordinary companyWe believe that to be successful we need a team with a range of skills and talents. We\āre building an environment where collaboration is fundamental, learning is shared and every employee feels supported and able to thrive. We value unique experiences, knowledge, backgrounds, and perspectives, and harness these qualities to create extraordinary impact.
We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy or related condition (including breastfeeding) or any other basis protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.
It\ās hugely important for us to share knowledge and build strong relationships with each other, and we find it easier to do this if we spend time together in person. This is why we follow a hybrid model, and would require you to be able to come into the office 3 days a week (currently Tuesday, Wednesday, and one other day depending on which team you\āre in). If you have additional needs that would prevent you from following this hybrid approach, we\ād be happy to talk through these if you\āre selected for an initial screening call.
Please note that when you submit an application, your data will be processed in line with our privacy policy.
#J-18808-Ljbffr
Research Scientist (Quantum Chemistry and Machine Learning), London London employer: Isomorphic Labs Limited
Contact Detail:
Isomorphic Labs Limited Recruiting Team
StudySmarter Expert Advice š¤«
We think this is how you could land Research Scientist (Quantum Chemistry and Machine Learning), London London
āØTip Number 1
Familiarise yourself with the latest advancements in quantum chemistry and machine learning. Being well-versed in current research and methodologies will not only boost your confidence but also allow you to engage in meaningful conversations during interviews.
āØTip Number 2
Network with professionals in the field by attending relevant conferences, webinars, or workshops. This can help you gain insights into the industry and potentially connect you with someone at Isomorphic Labs who can refer you internally.
āØTip Number 3
Prepare to discuss your previous research experiences in detail, especially those that relate to computational chemistry and machine learning. Be ready to explain how your work has contributed to solving real-world problems, as this aligns with the mission of Isomorphic Labs.
āØTip Number 4
Showcase your collaborative skills by highlighting any interdisciplinary projects you've worked on. Isomorphic Labs values teamwork, so demonstrating your ability to work effectively with diverse teams will make you a more attractive candidate.
We think you need these skills to ace Research Scientist (Quantum Chemistry and Machine Learning), London London
Some tips for your application š«”
Tailor Your CV: Make sure your CV highlights your relevant experience in quantum chemistry and machine learning. Focus on specific projects or research that align with the job description, showcasing your skills in computational chemistry and any applied ML research.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also demonstrates your passion for drug discovery and how your background fits into Isomorphic Labs' mission. Mention specific experiences that relate to their values of being thoughtful, brave, determined, and collaborative.
Highlight Relevant Skills: In your application, emphasise your technical skills, particularly in ML frameworks like JAX, PyTorch, or TensorFlow, as well as your knowledge of scientific software such as NumPy and SciPy. Make sure to mention any experience with real-world datasets and interdisciplinary collaboration.
Showcase Your Research Impact: If you have publications or contributions to machine learning codebases, include these in your application. Discuss how your previous work has contributed to advancements in the field, particularly in relation to drug discovery, to demonstrate your potential impact at Isomorphic Labs.
How to prepare for a job interview at Isomorphic Labs Limited
āØShowcase Your Technical Expertise
Be prepared to discuss your PhD research and any relevant projects in computational chemistry or machine learning. Highlight specific techniques you've used and how they relate to the role, especially in drug discovery.
āØDemonstrate Collaborative Spirit
Isomorphic Labs values teamwork across disciplines. Share examples of past collaborations with engineers or scientists, and how you contributed to achieving common goals. This will show that you can thrive in a multi-disciplinary environment.
āØPrepare for Problem-Solving Questions
Expect to tackle hypothetical scenarios related to quantum chemistry and machine learning during the interview. Practice articulating your thought process and approach to solving complex problems, as this will demonstrate your analytical skills.
āØAlign with Company Values
Familiarise yourself with Isomorphic Labs' core values: Thoughtful, Brave, Determined, and Together. Be ready to discuss how your personal values align with theirs and provide examples of how you've embodied these traits in your work.
