Senior Manager, Pharmacometrician (PK Data Scientist)
6 month contract+extension/conversion (on-site, hybrid, remote)
We are partnering with a forefront clinical stage oncolytic biotech company aiming to target elusive frontiers and inhibit growth of cancerous bio-mechanic pathways. With multiple projects in various clinical stages, they are looking to expand their team and talent! We are looking for an experienced Senior Manager/Pharmacometrician to help the Non-Clinical Development and Clinical Pharmacology team (NDCP) and one who is passionate about creating an everlasting change within the oncology sector.
As a key PK data scientist to support the pharmacometrics functions in the department, you will;
Build the internal infrastructure for PKPD data preprocessing and visualization.
Develop and manage automatic workflows (i.e. data uptake, QC, data integration and reformatting) for clinical PKPD and endpoint data.
Apply statistical and computational methods to analyze complex PKPD data
A Ph.D. or M.S. with a quantitative science background (mathematics, statistics, engineering, pharmaceutical sciences, computational biology, etc.).
Must be proficient in R programing and development of RStudio / Shiny apps.
Must have working knowledge in time series analysis in the graduate coursework and/or postgraduate job functions.
Must be familiar with the concepts of repeated measures and mixed models.
Able to take dynamically assigned pharmacometrics tasks and deliver the results in a timely manner.
Excellent verbal and written communication skills, and ability to clearly convey complex concepts and findings to both non-specialist and specialist audiences.
A critical thinker and passionate team player and quick learner with high energy who thrives in a dynamic and fast-paced environment.
Demonstrated experience and track record in clinical-stage drug development is a big plus but not required.
Hands-on experience of using commercial and/or open source ODE / PKPD modeling software is desired.
superb communication skills orally and virtually
Vaccinated against Covid-19