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Senior Scientist, BioScience, In-vitro Discovery and Data Scientist

AstraZeneca

Salary not specified
Dec 16, 2025
Gaithersburg, MD, US
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AstraZeneca's In vitro Discovery Platforms group within the Biologics Engineering department is pushing the boundaries of science to deliver life-changing medicines by exploring novel therapeutic approaches across various diseases. The job is to plan and execute experiments focused on isolating, engineering, and characterizing antibody and antibody-like therapeutics, and to contribute to technology platform builds and streamline discovery workflows.

Requirements

  • Familiarity with handling large datasets; data science skills including coding and script writing
  • Extensive and current hands-on experience with phage and yeast-display technology for antibody discovery
  • Proven hands-on experience with sample prepping for NGS data generation and sequence analysis
  • Experience in Sanger sequence analysis, protein expression and purification, ELISA, flow cytometry, and tissue culture
  • Experience working with various antibody formats including VHH, scFv and Fab
  • Transfection/electroporation, culturing and expansion of mammalian cells
  • Experience with electronic notebook keeping and data entry using Genedata Biologics

Responsibilities

  • Complete wet-lab experiments (80%) and data analysis for hit selection and characterization (20%)
  • Independently design and execute discovery campaigns using phage and yeast-display technologies
  • Recover yeast plasmids and prepare samples for NGS data generation
  • Analyze NGS data with appropriate software, e.g. Geneious Biologics/MixCR, and select hit lists for small scale antibody production
  • Contribute to technology platform builds and streamline discovery workflows using phage/yeast display VH, scFv and Fab libraries
  • Interpret and present data as a lead scientist/co-lead in the context of multidisciplinary project teams
  • Work within a matrixed environment across multiple groups

Other

  • Master’s Degree in Biochemistry, Data Science or related fields with 7+ years of proven experience in industry (preferred) or academia
  • Doctoral Degree with 0-2 years of proven experience in industry (preferred) or academia
  • Ability to work independently and in a team setting
  • Self-motivated, diligent, and flexible in accommodating shifting priorities
  • Strong communication and interpersonal skills, both oral and written, with supervisor, team, and various cross-functional project team members