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Skills: Computational structural biology, Data science, Artificial intelligence, Machine learning, Deep learning
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Full-time
postgraduate degree
Posted 18h ago
Apply by Aug 21
~40 hrs/week
Responsibilities
The role involves leading in silico support for therapeutic projects and collaborating with cross-functional teams to develop structural analytics workflows. You will drive innovative machine learning and generative methods to optimize biologic therapeutics for various disease pipelines.
Requirements
Candidates must hold a PhD in a relevant field such as Structural Biology, Bioinformatics, or Physics, along with at least 2 years of experience in silico design. Proficiency in structural modeling platforms and the application of AI/ML to protein design is essential.
Full job description
Job Description
Role Description
Do you have expertise in, and passion for data science and AI? Would you like to play a pivotal role that impacts the delivery of novel biologics drugs for oncology, respiratory and cardiovascular diseases in a company that follows the science and turns ideas into life changing medicines? Then AstraZeneca might be for you!
The Biologics Engineering team is responsible for the discovery and optimisation of biological candidate drugs to support all therapy area drug discovery pipelines and for the development of in-house biologics discovery platforms and novel drug modalities to support future drug discovery efforts.
Central to this effort are the Biologics Augmented Biologics Design team who are building on existing technologies to advance learning from the large and complex data sets we generate and excitingly the team is growing to meet this challenge. This role provides the opportunity for a talented and motivated computational structural biologist.
Typical Accountabilities
Lead the in silico support on pipeline therapeutic projects in collaboration with AZ stakeholders
Work collaboratively with data and drug discovery scientists to establish structural analytics workflows for biologics discovery
Contribute to the development of an end-to-end data analysis capability within Biologics Engineering team as part of a cross-functional team
Drive innovative structural, generative & machine learning methods for the design and optimisation of biologic therapeutics
Participate in strategic external collaborations
Demonstrate effective communication to translate complex concepts to non-experts in internal and external scientific meetings
Must Have
PhD in relevant field (e.g. Structural Biology, Computer Science, Bioinformatics, Physics and Mathematics) and 2 years experience in Silico Design • Knowledge of computational structural biology and demonstrated application of data analysis methods • Experience with structural modelling platforms (e.g. Schrodinger, Rosetta etc) • Familiarity with antibody discovery & optimisation, protein structures • Skilled in applying generative AI, Machine learning or deep learning to design and optimise proteins • Strong, professional communication skills and excellent attention to detail, capable of developing good working relationships with diverse individuals • Experience working within a team environment • Acts with integrity and does the right thing
Desireable
Knowledge of FAIR data principles
Experience with the analysis of large structural, sequence and experimental datasets.
Date Posted
27-Jul-2026
Closing Date
20-Aug-2026
Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.
Related keywords
Computational BiologyBiologicsOncologyRespiratoryCardiovascularData ScienceArtificial IntelligenceStructural BiologyBioinformaticsPhysicsMathematicsSchrodingerRosettaAntibody DiscoveryProtein OptimizationGenerative AI
We're transforming the future of healthcare by unlocking the power of what science can do for people, society and the planet. For more information, visit www.astrazeneca.com.
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Offices: 1 Francis Crick Avenue, Cambridge Biomedical Campus, Cambridge, Cambridgeshire CB2 0AA, GB · Astraallen, Sodertalje, Stockholm County 152 57, SE
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How many Healthcare jobs are open in Gaithersburg, MD right now?
There are currently 287 open healthcare positions in Gaithersburg, MD listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Healthcare roles in Gaithersburg, MD?
Companies currently hiring include AstraZeneca, Asbury Communities, Inc., BAYADA Home Health Care, MESO SCALE DIAGNOSTICS, LLC., Sheppard Pratt, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Healthcare jobs in Gaithersburg, MD?
Yes — 81 of the 287 open healthcare positions offer remote or hybrid work (3 remote, 78 hybrid).
How do I apply for Healthcare jobs in Gaithersburg, MD?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.