Scientist, Quantitative Pharmacology - #1409270

Neurodegenerative diseases are one of the largest medical challenges of our time. Denali Therapeutics is a biotechnology company dedicated to developing breakthrough therapies for neurodegenerative diseases through our deep commitment to degeneration biology and principles of translational medicine. Denali is founded on the collaboration of leading scientists, industry experts, and investors who share the vision that scientific discovery energetically applied to translational medicine is the key to delivering effective therapies to patients.

We invite you to consider an opportunity with Denali to help achieve our goal of delivering meaningful therapeutics to patients.

The Scientist in Quantitative Pharmacology will develop and apply Quantitative Systems Pharmacology (QSP) and pharmacokinetic (PK)/pharmacodynamic (PD) modeling approaches to support decision-making for both preclinical and clinical programs. This role involves collaboration with scientists from different functions including Research, Discovery Biology, Translational Medicine, and Clinical Development to provide quantitative insights to advance therapies for neurodegenerative disease. This role is within the Quantitative and Clinical Pharmacology (QCP) team within the Development Sciences function.

Key Accountabilities/Core Job Responsibilities

• Lead and perform quantitative analyses using mathematical modeling and quantitative pharmacology principles to inform decision making for preclinical and clinical programs with a focus on mechanistic and translational modeling.
• Develop and apply fit-for-purpose mathematical models (QSP, PK-PD, PBPK, population PK, exposure-response) using specialized tools with minimal supervision to address project team objectives, including target and compound evaluation, biomarker investigation, and preclinical and clinical study design optimization.
• Build effective collaborations within project and cross-functional teams in the organization.
• Document and archive contributions including data analyses, mathematical models, summary presentations and reports to enable sharing and reproducibility within the organization..
• Analyze, interpret, and communicate results at project team meetings, senior leadership meetings, and external conferences.
  
  

Qualifications/Skills

• PhD or PharmD in a relevant scientific discipline
• Proven track record and publications applying systems modeling and simulation approaches to biological systems and/or drug development either in industry or academia.
• Proficiency with systems modeling approaches such as differential equation, logic, stochastic, agent-based, or other advanced mechanistic modeling approaches.
• Experience with relevant software or programming languages (e.g., Simbiology, MATLAB, NONMEM, R, or C).
• Experience investigating PK/PD relationships for biotherapeutics or small molecules is preferred.
• Excellent critical thinking and scientific skills, and a demonstrated ability to analyze, interpret, and clearly communicate complex results.
• Ability to work effectively and collaboratively on cross-functional projects teams.
• Excellent oral, presentation, and written communication skills.
  
  

Salary Range: $117,000.00 to $147,667.00 . Compensation for the role will depend on a number of factors, including a candidate’s qualifications, skills, competencies, and experience. Denali offers a competitive total rewards package, which includes a 401k, healthcare coverage, ESPP and a broad range of other benefits. Learn more at https://www.denalitherapeutics.com/careers

This compensation and benefits information is based on Denali’s good faith estimate as of the date of publication and may be modified in the future.This compensation and benefits information is based on Denali’s good faith estimate as of the date of publication and may be modified in the future.

Denali is committed to its core company value of unity by creating a diverse and inclusive environment. We are proud to be an equal opportunity employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, basis of disability, or any other federal, state, or local protected class.