Senior Scientist – Protein Design

Here atAstraZenecayoullhave the opportunity to make a difference in peoples lives every day. As one of the worlds premier biotechnology companies our mission is centered on delivering life-changing products that advance world health and help fight and cure disease.As a Senior Scientist in the Early Vaccines and Immune Therapies Unit (Early V&I) inSeattleWAyoullplay a pivotal role in channeling our scientific capabilities to make a positive impact on changing patients lives.

TheEarly V&I teamat AstraZeneca is discovering and developing novel vaccines and biologics targeting key viral pathogens.We are consistently pushing the boundaries of science to deliver life-changing medicines to patients.Our deepexpertisein virologybacteriologyimmunology and vaccines enables our ability to advance novel therapeutic approaches and technologies to prevent and treat infectious disease.We have an industry-leading pipeline and offer a unique and strong collaborative network as part of the AstraZeneca family.

Currently we areseekinga highly motivated and broadly skilled scientist with scientific and technicalexpertiseinmachine learning based computational protein designandstructural biologydemonstratinga track recordof scientific achievement to join the group at AstraZeneca inSeattleWA.The Senior Scientist will be a key member of a growing dynamic team focused on developing next-generation vaccines and antibody therapeutics through theimplementation of protein design in thedrug discovery process.The position requires a strong interest incomputationalprotein designwork driving projects forward.AstraZeneca has a dynamic environment that fosters collaboration and innovation as we look to attract and develop top talent.

Major responsibilities:

• Perform a range ofcomputationalexperiments to designand generatenovelproteinantigensimmunogensbinders and antibodiesthat elicit prophylacticimmunityorprovidetherapeuticbenefitagainst clinically relevant pathogens

• Developvalidate andmaintainnovel computational pipelinesbased on various protein structure software(e.g. deep learning generative models structure prediction docking and molecular simulation) for protein antigenbinderand antibody design

• Contribute to new concepts and methodologies in antigen design protein nanoparticle scaffolding multivalent display epitope focusing and other emerging vaccine technology modalities

• Leverage structural biology (e.g. AlphaFold Rosettaexperimental-derived models)large-scale sequence datasets and literatureto guide design hypothesesandperform in silicoexperiments

• Work collaboratively with colleagues across the organization totranslate computational designs into testable constructs and drive projects to successfulcompletion

• Make detailed observations perform quantitative analyses interpret results independently and propose next-step experiments or model refinements based on in silico and in vitro readouts

• Scout evaluate and integrate new algorithms tools and frameworks (e.g. protein language models diffusion models active learning) to improve design success rates andreducecycle time

• Preparation of precise technical summaries protocols quantitative analyses and maintenance ofappropriate documentation

• Contribute to intellectual property by drafting invention disclosures and working with legal teams on patents related to computational design methods and novel constructs

• Optimizeuse of compute resources

• Oversee the day-to-day organization of different project-related components

• Publishing of discoveries in high quality peer-reviewed journals

Requirements/ Qualifications:

• B.S.inComputationalBiologyBioengineeringComputerScienceBiophysicsStructuralBiologyor related scientific discipline with7 years ofrelevantexperienceor

• M.S.inComputationalBiologyBioengineeringComputerScienceBiophysicsStructuralBiologyor related scientific discipline with5 years ofrelevantexperienceor

• Ph.D.in Computational Biology Bioengineering Computer Science Biophysics Structural Biology or related scientific discipline with 3 years ofrelevantexperience.

Specific skills:

Broad experienceinmachine learningstructuralbiologyand/orbiochemistrytechniques:

• Up-to-date hands-on experience with state-of-the art computational protein design methods

• Proficiencywith deep learning for proteins (e.g. protein language models diffusion/generative models supervised learning for property prediction)

• Hands-on experience with structure prediction and design (e.g. AlphaFold/ColabFold RosettaProteinMPNNRFdiffusion) docking and enhanced sampling

• Extensive hands-on experience with the design engineering production and characterization ofproteinantigensand/or other complex proteins

• Extensive knowledge of protein structure and structural biology including model building analysis and structure determination techniques such as X-ray crystallography and cryo-EM

• Experiencewithproteinbiochemistrytechniques such asmammalian or bacterial recombinant protein expression protein purification; and characterization techniques like UV-Visspectroscopy fluorescence spectroscopy SEC-MALSnanoDSF etc.

• Experiencewith molecular biology techniques such as gene synthesis PCR cloning etc.

• Strong Pythonexperience; software engineering practices (version control testing code review); data management and shared compute resource usage

• Experience in training novel models for protein design and/or modelingis a plus

• Strong interpersonal and collaborative skills together with evidence of having used these tosupport problem solving and delivery in a team-oriented collaborative environment

• Ability to work in a collaborative fast-paced environment while planning and meeting timelines

• Proventrack recordof success in your research and experience preparing written scientificreports (e.g.manuscripts) and oral presentations (e.g.slides posters)

• Experiencewithdrafting patents for protein-based inventionsis a plus

• Ability to multitask and prioritizenumerousdifferent projects

• Strong verbal and written communication skills

Job complexity:Must be able to understand conductand interpret results of technically challenging experiments with minimalsupervision

When we put unexpected teams in the same room we unleash bold thinking with the power to inspire life-changing -person working gives us the platform we need to connect work at pace and challenge perceptions. Thats why we work on average a minimum of three days per week from the office. But that doesnt mean were not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.

AstraZeneca offers an environment where innovation meets opportunity. With constant new products and launches youll be part of a team that shapes the future of life-changing medicines. Our commitment to staying ahead in rapidly changing markets drives us to continuously seek new ways to deliver medicines to patients. Here youll find a safe space to share ideas and problem-solve alongside a diverse team of experts connected across the globe. We thrive on challenges and embrace them as opportunities to learn and grow.

The annual base pay for this position ranges from $ 116284.00 - $174426.00. Base pay offered may vary depending on multiple individualized factors including market location job-related knowledge skills and addition our positions offer a short-term incentive bonus opportunity; eligibility to participate in our equity-based long-term incentive program. Benefits offered included a qualified retirement program 401(k) plan; paid vacation and holidays; paid leaves; and health benefits including medical prescription drug dental and vision coverage in accordance with the terms and conditions of the applicable plans. Additional details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired employee will be in an at-will position and the Company reserves the right to modify base pay (as well as any other discretionary payment or compensation program) at any time including for reasons related to individual performance Company or individual department/team performance and market factors.

Ready to take the next step in your career Apply now and become part of our dynamic team!