Research Associate in vitro Pharmacology Oncology Scientist in vivo Pharmacology


We are seeking to hire a Scientist with ocular expertise to join the in vivo pharmacology team at Unity. This position will afford the successful individual an opportunity to discover and develop innovative drugs for an emerging and exciting biology and to translate our science into a pipeline of differentiated medicines. The ideal candidate should be highly innovative and creative with relevant experience developing in vivo models in rodents.

The successful candidate will be a strong individual contributor, team leader, and integral part of our discovery efforts. Responsibilities will include developing in vivo ocular models (anterior and posterior segments) that focus on understanding the pharmacodynamic activity and translation to disease-relevant efficacy. The duties of the job include experimental design and execution, analysis and interpretation of data, and regular presentation (verbal/written) of results and interpretation at group, project team, and Discovery team meetings.


  • Ph.D. with >3 years of scientific experience or Bachelor’s/Master’s degree with >6 years in the biopharmaceutical industry.
  • In-depth expertise in ocular disease and track record developing in vivo ocular models is required.
  • Degree in Pharmacology, Physiology, or a related field is essential.
  • Evidence of independent scientific ability (e.g.,post-doctoral training) and a track record of scientific accomplishments through publications, patents, and invited presentations.
  • Experience with immunohistochemistry, quantitative PCR, flow cytometry, fluorescence microscopy and a variety of detection technologies (radiometric, colorimetric, luminescence, fluorescence, imaging and label-free methods, etc.).
  • Ability to manage complexity and ambiguity in a highly matrixed work environment.
  • Track record of managing, developing, and mentoring junior scientists and research associates.
  • Creativity and the ability to lead and/or work within an interdisciplinary team in order to achieve technical and corporate milestones.
  • Robust experimental design and troubleshooting skills, and excellent data analysis/mining/statistics capabilities.

Please send resume and cover letter