Data Analyst – Cell Biology

AbCellera is a young, energetic, and rapidly growing tech company with an amazing team that searches, decodes, and analyzes natural immune systems to find antibodies that its partners can develop into drugs to prevent and treat disease. We are seeking a highly motivated Data Analyst, well-versed in the analysis of complex cell biology data, to join our dynamic Discovery team.

The successful candidate will interact with a diverse team, liaising between wet-lab scientists, bioinformaticians and software engineers, in a fast-paced and focused environment. The candidate is expected to be able to multitask, problem-solve, think critically and demonstrate scientific rigor.

How you might spend your days:

• Coordinating with different functional teams, with an emphasis on Discovery and Data Science, to develop strategies for data analysis, curation, storage, presentation and interpretation
• Building automated analysis pipelines for a variety of data types derived from medium- and high-throughput experiments, including flow cytometry, spectrophotometry, spectrofluorimetry and high-content imaging
• Implementing and maintaining these analysis pipelines (typically in Python), ensuring data integrity, correctness and clarity
• Developing and implementing software solutions for improving data flow and maintaining data standards across multiple teams
• Organizing, supporting and collaborating with other team members to meet project deliverables and timelines
• Analyzing and presenting data and analysis methods to colleagues and partners

We’d love to hear from you if:

• You are passionate about data science and want to work in an interdisciplinary environment
• You thrive in a collaborative environment
• You enjoy bringing out the best in your teammates
• You enjoy working in a fast-paced work environment with multiple priorities
• You take pride in being self-motivated, a fast learner, a team player and a creative problem solver
• You can effectively communicate scientific ideas across disciplines and levels of experience

Required qualifications and experience:

• MSc in bioinformatics or computational biology with two or more years of related work experience, or BSc in a relevant field with five or more years of related experience
• Proficiency in at least one programming language for analysis and data visualization (Python & SQL preferred)
• Background in life sciences: Cell Biology, Immunology, or Molecular Biology preferred
• Demonstrated ability to create flexible data analysis pipelines intended for use by others, such as:
  • Building and deploying user-friendly interactive data analysis applications, using tools such as Dash or R-Shiny
  • Designing standardized statistical analysis and visualizations of complex multifactorial data
  • Designing data analysis pipelines integrating multiple data sources, using tools such as Redshift & Bigquery or Spark & Dask
• Excellent communication skills, and the ability to identify key issues and succinctly describe them
• Driven to learn and master new technical skills
• Excellent documentation and organizational skills
• Impeccable attention to detail