Senior Research Investigator (Biologics Computational Science), London
Isomorphic Labs · GB
16 days agoImpress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Tailor your resume to this Senior Research Investigator (Biologics Computational Science), London role.
Rezi rewrites your resume against Isomorphic Labs's job description. Free.
Tailor your resume to this Senior Research Investigator (Biologics Computational Science), London role.
Rezi rewrites your resume against Isomorphic Labs's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Senior Research Investigator (Biologics Computational Science), London posting at Isomorphic Labs — free, in seconds.
Don't guess if your resume is good enough.
See how it scores against the Senior Research Investigator (Biologics Computational Science), London posting at Isomorphic Labs — free, in seconds.
About the Role
Isomorphic Labs is seeking a Senior Research Investigator to join their Computational Sciences team, specializing in Biologics. This role will contribute to the design of novel large molecule therapeutics by harnessing the power of their AI drug design engine. It requires a blend of scientific expertise and intellectual curiosity to explore therapeutic design. The position plays a pivotal role in drug design projects, driving progress from early discovery through to candidate selection and advancement towards the clinic. This is an opportunity to collaborate with AI, ML, and drug discovery experts to develop new generative AI approaches for designing and optimizing protein-based therapeutics.
Responsibilities
- Identify opportunities for computational modelling to enhance biologics discovery programs, including developing new methods.
- Collaborate with machine learning and biologics discovery teams to develop computational and machine learning methods for predicting biologics properties from sequence, including affinity, developability and immunogenicity.
- Apply computational methods to discover novel therapeutics.
- Benchmark existing computational methods and develop baseline models.
- Analyze data from lab experiments to inform decisions for biologics discovery programs.
- Determine what data to generate to improve machine learning models.
- Implement model-aware prioritization to ensure we are collecting the highest-value data points, laying the foundations for active learning.
- Develop methods for predicting functional properties of biologics, expressed in terms of biophysical constraints.
Requirements
- Experience using computational and machine learning methods to predict biologics properties.
- Experience developing computational methods to predict biologics properties from sequence, such as affinity, developability or immunogenicity.
- Proficient programming skills with a strong emphasis on Python.
- Experience preparing datasets, benchmarking models, and working with structure-based metrics.
- Comfortable learning new ways of working in fast changing environments.
Skills
- Python
- Computational modelling
- Machine learning
- Biologics discovery
- Predicting biologics properties
- Affinity
- Developability
- Immunogenicity
- Sequence analysis
- Therapeutic design
- Generative AI
- Protein-based therapeutics
- Structural modelling
- 3D protein structure tools
- Generative-design methods
- Antibody-drug conjugates (ADCs)
- Multispecifics
Location
- Hybrid
Work Type
- Hybrid
- Full-time
Experience Level
- Senior
Education Level
- PhD or equivalent in computer science, computational biology, structural biology, biochemistry or related field.
About the Company
- Isomorphic Labs (IsoLabs) was launched in 2021 to advance human health by building on and beyond the Nobel-winning AlphaFold system.
- Their 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.
- The company's name reflects the belief in an underlying symmetry between biology and information science.
- They harness AI's capabilities to model complex biological phenomena, design novel molecules, anticipate drug performance, and develop innovative medicines.
- They have built a world-leading drug design engine comprising AI models capable of working across multiple therapeutic areas and drug modalities.
- They continually innovate on model architecture and develop cutting-edge capabilities to advance rational drug design.
- They are getting closer to the promise of digital biology and achieving their mission to solve all disease with the help of AI.
Equal Opportunity
- 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.