Lead Biologist

We are seeking a highly skilled Senior Research Scientist to join our Respiratory and Immunology Research Unit as a Lead Biologist in our Drug Discovery Program. The successful candidate will be responsible for designing and delivering on the biology strategy as one component of an advanced drug discovery program.

• Develop and Enhance Analytical Platforms

Successfully develop and enhance respiratory relevant biology analytical platforms and technologies to support the nature and complexity of current and future drug discovery programs.

Build scientific expertise through training and supervising a biology team with the necessary scientific and technical capabilities to support the drug discovery program.

Work collaboratively with cross-functional discovery teams to identify project needs and develop selected experiments to address project questions by agreed timelines.

Maintain a high level of documentation for all experimental work to ensure data integrity expectations are met.

• Ph.D. in Respiratory Biology or Comparable Experience

Ph.D. in Respiratory Biology, Cell Biology, Molecular Biology, Immunology or comparable experience.

Independently able to design, execute and interpret experimental studies across a wide range of laboratory techniques, including cell culture, molecular biology, RNA isolation, RT-PCR analysis, standard protein analysis, histology, flow cytometry and imaging.

Track record of scientific innovation as evidenced by peer-reviewed publications, conferences, patents.

Strong written and verbal communication skills, with the ability to effectively present scientific findings to multidisciplinary internal and external stakeholders in a balanced, clear, and precise manner.

Able to independently define strategic approach to tackle specific project or department goals.

Good understanding of drug discovery, ability to influence project direction by interpreting results outside their area of expertise.

Effectively trouble-shoot assays and, when necessary, develop alternative approaches.

Proven ability to prioritize multiple projects to meet timelines while maintaining attention to detail and high-performance standards.

Knowledge of statistical analysis methodology and bioinformatic tools with experience in bioinformatic analysis of large data sets such as those from next generation sequencing experiments.