Isomorphic Labs

biotech or pharma

ComputationalDrugDesigner

Lausanne, Switzerland
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Computational Drug Designer at Isomorphic Labs. Skills: computational drug design, AI/ML, Python. Apply expertise in computational drug design to solve drug design problems. Provide technical direction to Platform teams”

Industry & Context.

biotech or pharma
Problems you'll solve

solve drug design problems; solutions to complex technical problems

What They're Looking For.

Must Have

PhD in Computational Chemistry, Medicinal Chemistry, Synthetic Organic Chemistry (or a related technical field), or equivalent industrial experience, 5+ years industrial experience in computational chemistry (CADD), operating within a biotech or pharma setting, foundational knowledge of modern computational chemistry, including core computational chemistry concepts (e. g. cheminformatics, virtual screening, docking, machine learning models, model assessment), Experience of contributing to structure-based drug design (SBDD) problems, with a proven track record of success, Experience of writing and implementing Python scripts, or utilising pipelining tools, to support project teams in cheminformatic and computational chemistry design workflows, A genuine passion and enthusiasm for applying AI/ML to drug design and how this can transform the field, Excellent communication (written and verbal) and interpersonal skills, with an ability to work effectively in a cross-functional, collaborative team environment, A growth mindset, adaptability, and eagerness to learn new concepts and techniques

Nice to Have

Experience working with or managing activities at contract research organisations (CROs), Familiarity with medicinal chemistry techniques (e. g. data analysis software, ADMET principles), Knowledge of other specific drug discovery approaches like fragment-based drug design (FBDD), and alternative modalities like PROTACs, molecular glues, PPI inhibitors or stabilisers etc., Basic understanding of drug metabolism and pharmacokinetics (DMPK) principles, Fluency in Python with ability to write code for new tools, Track record of authorship of relevant scientific manuscripts and/or inventorship of composition of matter patents

What You'll Do.

Apply expertise in computational drug design to solve drug design problems

Provide technical direction to Platform teams

Collaborate internally and with third party organisations to support the data-driven delivery of high quality designs

and solutions to complex technical problems

Prepare detailed scientific proposals and reports to support new and ongoing drug discovery programs

Mentor and support the development of more junior colleagues

Embrace and champion our culture of inclusion and continuous professional development

How You'll Work.

Team & Collaboration

play an integral role in our drug discovery project teams; Collaborate internally and with third party organisations; work effectively in a cross-functional, collaborative team environment; collaboration across fields and catalytic relationships; collaboration is fundamental

Communication Scope

Excellent communication (written and verbal); interpersonal skills

Full Job Description

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. Your impact You will play an integral role in our drug discovery project teams, applying your kn

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