Research Scientist / Infectious Diseases

Children's Hospital Los Angeles (CHLA); Los Angeles (CA); On-site; USD 90,000 - 140,000; Full time

Job summary

Children's Hospital Los Angeles (CHLA) in Los Angeles is seeking a research scientist to support development and maintenance of population pharmacokinetic/pharmacodynamic analysis, simulation and dosing programs. You will work with a team of mathematicians, physicians and engineers, applying innovative approaches to individualize drug therapy.

The role requires 5+ years of post-graduate research and teaching in quantitative biology/pharmacometrics, with a PhD in statistics/biology/computer

Qualifications

• PhD in statistics or allied field with published thesis in quantitative biology.
• 5+ years of post-graduate research and teaching experience.
• Experience in quantitative biology and pharmacometrics.
• Experience with statistical/computational modeling of complex biological systems.
• Experience developing population models for inference and control.

Responsibilities

• Develop and maintain population pharmacokinetic/pharmacodynamic analysis, simulation and dosing programs.
• Collaborate with a team of mathematicians, physicians and engineers on innovative methods.
• Adapt high-dimensional statistical analyses to pharmacometrics problems.
• Train and mentor students and scientists at USC/CHLA and collaborations.

Skills

Quantitative biology

Pharmacometrics

Population PK/PD

Statistical modeling

Algorithm development

Mentoring

Education

PhD in statistics / quantitative biology / computer science

Job description

Schedule: Full-Time, Exempt. Standard Monday-Friday business hours.
Purpose Statement/Position Summary: The research scientist will be responsible for supporting development and maintenance of population pharmacokinetic/dynamic analysis, simulation and dosing programs. Will interact with a team of highly motivated mathematicians, physicians, and engineers, working on innovative methodological approaches to individualize drug therapy. In particular, s/he will adapt and apply novel high dimensional statistical analyses to 1harmacometrics problems. Responsibilities include training and mentoring students and scientists at USC/CHLA, and from other institutions.
Minimum Qualifications/Work Experience: 5+ years of post-graduate research and teaching, with experience in quantitative biology and pharmacometrics. The candidate should also have experience in statistical and computational approaches to modeling complex biological systems, developing and using population models for inference and control, and algorithm development.
Education/Licensure/Certification: Ph.D. in statistics, quantitative biology, computer science, or allied field with completed and published thesis work in quantitative biology, and 3 years of postdoctoral fellowship training.
This is a grant-funded position, in whole or part. Terms and conditions of employment are contingent upon the availability of grant funding, which may be subject to change without notice.