Research Scientist (Molecular Simulation), London

London

Isomorphic Labs

We’re a digital biology company here to redefine drug discovery with the power of artificial intelligence. We're glad you're here, let's get to work

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Research Scientist (Molecular Simulation), London

Isomorphic Labs is a new Alphabet company that is reimagining drug discovery through a computational- and AI-first approach.

We are on a mission to accelerate the speed, increase the efficacy and lower the cost of drug discovery. You'll be working at the cutting edge of the new era of 'digital biology' to deliver a transformative social impact for the benefit of millions of people. 

Come and be part of a multi-disciplinary team driving groundbreaking innovation and play a meaningful role in contributing towards us achieving our ambitious goals, while being a part of an inspiring, collaborative and entrepreneurial culture.

Your impact

This is a great opportunity to contribute to a new initiative, working closely with world leading computational chemists and AI experts to devise imaginative approaches to developing the next generation of medicines. As a Molecular Simulations Research Scientist, you will be foundational in the creation of an AI driven drug-discovery platform.

There is some degree of flexibility around the level of seniority in the position, but we are ideally looking for you to drive forward your own projects both individually and as part of a team.

What you will do

  • Lead and organise the application of predictive simulation methods to live drug discovery projects
  • Spearhead the design, development, and validation of groundbreaking molecular simulation methods
  • Identify and direct scientific research opportunities to improve the AI driven drug-discovery platform
  • Leverage a wide variety of methods, including machine learning, for biomolecular property prediction
  • Use your excellent communication and influencing skills to work with scientists across the organisation to deliver research and project milestones
  • Contribute to IsoLab’s biomolecular simulation codebase and thriving ecosystem of computational techniques 

Skills and qualifications

Essential:

  • Deep experience applying computational techniques to drug discovery
  • Proven track record of performing high impact scientific research
  • PhD in Physics, Chemistry, Computational Chemistry, Computational Biology, or equivalent experience in scientific research
  • Expertise in advanced simulation methods, such as  free energy calculations and enhanced sampling
  • Dynamic, agile, and flexible individual who can work across many projects, areas, and multi-disciplinary teams
  • Collaborative and inclusive mentality to partner across teams to drive shared learning
  • Be an effective communicator across a broad interdisciplinary team, working effectively with others with different skills and backgrounds
  • Expertise in Python programming

Nice to have:

  • Experience using the latest ML methods
  • Experience with running jobs on cloud-based infrastructure at scale
  • Familiarity with drug discovery


Culture and values

What does it take to be successful at IsoLabs? It's not about finding people who think and act in the same way, but we do have some shared values:

Thoughtful
Thoughtful at Iso is about curiosity, creativity and care. It is about good people doing good, rigorous and future-making science every single day.

Brave
Brave at Iso is about fearlessness, but it’s also about initiative and integrity. The scale of the challenge demands nothing less.

Determined
Determined at Iso is the way we pursue our goal. It’s a confidence in our hypothesis, as well as the urgency and agility needed to deliver on it. Because disease won’t wait, so neither should we.

In this together
Together at Iso is about connection, collaboration across fields and catalytic relationships. It’s knowing that transformation is a group project, and remembering that what we’re doing will have a real impact on real people everywhere.


Creating an inclusive company

We realise that to be successful we need our teams to reflect and represent the populations we are striving to serve. We’re working to build a supportive and inclusive environment where collaboration is encouraged and learning is shared. We value diversity of experience, 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.


Hybrid working

It’s hugely important for us to be able to share knowledge and establish relationships with each other, and we find it easier to do this if we spend time together in person. This is why we’ve decided to follow a hybrid model, and would require you to be able to come into the office 3 days a week (currently Tue, Wed, and one other day depending on which team you’re in).  As an equal opportunities employer we are committed to building an equal and inclusive team. If you have additional needs that would prevent you from following this hybrid approach, we’d be happy to talk through these if you’re 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.


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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Agile Biology Chemistry Drug discovery Machine Learning PhD Physics Privacy Python Research

Perks/benefits: Career development Flex hours Flex vacation

Region: Europe
Country: United Kingdom
Job stats:  64  3  0

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