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Isomorphic Labs

Research Leader (Toxicology), Cambridge, MA

Isomorphic Labs is hiring a Research Leader (Toxicology), Cambridge, MA (United States). Level rates it ; you can apply on Isomorphic Labs.

Level's read on this job

  • Level rates this role Builds AI ●●●●: the job is building AI systems.
  • The posting mentions Alphafold, toxicology and machine learning among its tools and skills.
  • Level classes it as a lead role.
  • Isomorphic Labs has 29 other open roles on Level.

AI in this role

Lead toxicology research leveraging frontier AI models and machine learning for drug discovery at Isomorphic Labs.

alphafold
toxicologymachine-learningdrug-discoverypreclinical-developmentai-modelling

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’re building today. It starts with the culture at this company. It starts with you. 

 

About Iso

Isomorphic 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’s 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’s 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 cutting-edge capabilities to advance rational drug design.

Every day, and with each new breakthrough, we’re getting closer to the promise of digital biology, and achieving our ambitious mission to one day solve all disease with the help of AI.

 

About the Preclinical Development team

The Preclinical Development team accelerates the delivery of high quality candidates by developing innovative and creative AI-first solutions. Through collaboration with the entirety of the drug discovery disciplines and the ML researchers, we ensure that safety, druggability and developability are at the heart of our drug design engine. We shape the development of state-of-the-art toxicology predictive models. We rethink drug discovery from HitID to First in Human trials by optimising the context of use of these models.

 

Your impact

As a Toxicology Lead, you will develop the safety assessment strategy of drug discovery and development projects from inception to regulatory submission. Working closely with the drug design platforms (small molecules and biologics), you will drive the optimisation of Iso’s assets with an AI-first approach in mind. In addition, you will guide the development of our AI predictive toxicology platform in order to increase the probability of success of Iso’s assets and contribute to the reduction of animal testing in drug discovery, in collaboration with the AI/ML research and data strategy teams. 

If you are an experienced, innovative and ambitious scientist looking to play an active part in the AI-driven transformation of the pharmaceutical industry, joining Isomorphic Labs will lift you out of your comfort zone and provide an amazing opportunity for personal growth and development.

 

What you will do 

Discovery and development support

  • Design and implement safety assessment strategies with an AI-first approach to support small molecules and biologics drug discovery projects. 
  • Design screening cascades and mechanistic experiments to support project progression in a data-driven manner.
  • Develop SAR understanding of toxicology main liabilities to optimise chemical and biological matter where needed.
  • Define regulatory safety assessment packages to support successful acceptance by regulatory agencies.
  • Author toxicology sections of regulatory documents.

Predictive toxicology strategy

  • Partner with Machine Learning colleagues to build the predictive toxicology aspects of the drug design platform and identify, generate and analyse data from which to develop and improve predictive toxicology models.
  • Identify state-of-the-art technologies and methods that could bring transformational benefits to our platform or ways of working.

CRO interactions

  • Since Isomorphic Labs outsource all wet-lab work to external vendors, you will maintain and develop close relationships with the CRO network to:
    • Ensure high quality and timely data generation to support our portfolio projects.
    • Leverage the scientific expertise of our external collaborators to enhance the team's impact.
    • Oversee the delivery of data generation campaigns purposefully designed to support the development of AI-based toxicology models.

People

  • Mentor junior members of the team.
  • Embrace and champion a culture of inclusion and continuous professional development.

 

Skills and qualifications

Essential:

  • Ph.D. in Toxicology, Pharmacology, Biology, or DVM/MD with relevant experience.
  • Board Certification.
  • Extensive professional experience working in a senior toxicology role across different therapy areas within the biotech or pharma setting.
  • Demonstrated experience filing successful INDs/CTAs for both small molecules and biologics.
  • Deep understanding of Global Regulatory Guidelines regarding safety assessment.
  • Experience of partnering closely with Discovery and Clinical teams.
  • Excellent communication (written and verbal), interpersonal and influencing skills, with an ability to work effectively in a cross-functional, collaborative team environment.
  • Track record of creative problem solving with a strong growth mindset, adaptability, willingness to challenge conventional thinking and eagerness to learn new concepts.

Nice to have:

  • Experience with peptides and other new modalities.
  • Good understanding of machine learning techniques.
  • Familiarity with Python and KNIME.


Culture and values

We are guided by our shared values. It's not about finding people who think and act in the same way. These values help to guide our work and will continue to strengthen it. 

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.

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 extraordinary company

We believe that to be successful we need a team with a range of skills and talents. We're 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.


Hybrid working

It’s 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’re in). 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.


>> Click to view other open roles at Isomorphic Labs

How we rate this

Research Leader (Toxicology), Cambridge, MA at Isomorphic Labs rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

ToxicologyMachine learningDrug DiscoveryPreclinical DevelopmentAI ModellingAlphafold

Questions you could be asked

  1. Tell me about a project where toxicology was part of your work. What did you do?
  2. Tell me about a project where machine learning was part of your work. What did you do?
  3. Tell me about a project where drug discovery was part of your work. What did you do?
  4. Tell me about a project where preclinical development was part of your work. What did you do?
  5. Tell me about a project where ai modelling was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Toxicology, Machine learning, Drug Discovery, Preclinical Development, and AI Modelling. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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