Associate/Research Scientist, Immuno-Oncology at Kleo Pharmaceuticals Inc.
New Haven*, CT, US

We are seeking a highly skilled and motivated Scientist to join the Immuno-Oncology team at Kleo Pharmaceuticals to make major contributions to advance our product pipeline.

The successful candidate will support pre-clinical development of immune cell engaging bispecific small molecules. The candidate will be responsible for the development and execution of in vitro assays to characterize compounds using flow cytometry, ELISA, and live cell imaging. The candidate will also be responsible for validating novel targets in Kleo’s pipeline. Ideal candidates will possess an understanding of immunology principles, and extensive laboratory experience in cellular biology/immunology with a focus on in vitro assay implementation and development.  The candidate must be independent, able to interpret the results of experiments, highly organized with attention to detail, and pocess an abiltiy to clearly and effectively communicate and collaborate with colleagues on the team.

Principal Responsibilities:

  • Planning and execution of cell based in vitro assays

  • Validation of novel immunotherapeutic targets

  • Perform multi-parameter flow cytometry (FACS) and analysis

  • Perform various immunoassay techniques (e.g., ELISAs and cell purification)

  • Cell culture, including passage and expansion of tumor cells for tumor cell implantation

  • Compound reconstitution for administration of therapeutics and in vitro testing

  • Support of ongoing in vivo efficacy studies

  • Clearly communicate results to management and colleagues

 Candidate Qualifications:

  • B.S. with 8+, M.S. with 6+, or PhD with 2+ years of experience working in the immunology and/or immuno-oncology fields in an academic or industry setting

  • Ability to multitask and manage multiple projects simultaneously

  • Candidate should be a strong team player with excellent oral and written communication skills and a demonstrated ability to work independently to design experiments, interpret data, and troubleshoot. Ability to multitask and manage multiple projects simultaneously.

  • Candidate should be competent in standard scientific software used for data analysis (e.g., Microsoft Excel and Prism), as well as Microsoft Word and Powerpoint.