Senior/ Principal Scientist, Modeling and Simulation Scientist

Davita Inc.; South San Francisco (CA); On-site; USD 101,000 - 233,000; Full time

Job summary

A leading company seeks a PKPD/QSP Modeling & Simulation Scientist to support drug development through quantitative modeling. The role involves developing mechanistic models, collaborating with cross-functional teams, and requires a Ph.D in relevant engineering or pharmaceutical fields. Strong programming skills and effective communication are essential.

Benefits

Relocation benefits available

Qualifications

• Ph.D in relevant fields including chemical, biomedical engineering or pharmaceutical sciences.
• Post-PhD experience requirements: Senior Scientist ~0-3 years; Principal Scientist ~3-7 years.
• Proficiency with modeling approaches essential.

Responsibilities

• Develop and apply mechanistic PKPD models in therapeutic areas including oncology.
• Strategize, plan, execute, and report modeling activities.
• Work with cross-functional teams and contribute to best practices.

Skills

Proficiency with PKPD and biological systems modeling

Programming in MATLAB/Simbiology, R, Python

Excellent communication

Interpersonal skills

Strong leadership

Education

Ph.D in chemical or biomedical engineering, pharmaceutical sciences

Job description

The Position

We advance science so that we all have more time with the people we love.

The Modeling and Simulation group within the Translational PKPD Department at Genentech, Inc. is seeking a PKPD/QSP Modeling & Simulation Scientist who is driven to enhance drug development through quantitative modeling and simulation of PKPD and biological systems. Our group supports projects in various stages of research and development across a range of therapeutic areas and molecule types/formats. We comprise scientists with PhDs in computational disciplines with expertise in mechanistic biological modeling and simulation, data-driven modeling, bioinformatics and systems biology, computational algorithm and tool development, and translating complex biology into quantitative models. We work closely with collaborators across all disciplines in therapeutic areas such as oncology and cancer immunotherapy, immune and inflammatory disorders, ocular disease, neurological disorders, and more. Efficient communication and collaboration with biological and clinical collaborators are critical skills. The group has a significant external presence, with a growing list of publications in highly regarded journals in the field, numerous oral presentations, academic seminars, and workshop leadership. Our members are leaders of various interest groups, conference programming committees, and working groups in the field of pharmaceutical modeling and simulation. In addition to our application of PKPD and systems modeling approaches in support of drug development, we are also committed to the development of new technical approaches, algorithms, and tools to advance the field.

Opportunity:

As an integral member of this dynamic team, you will be:

• Develop and apply mechanistic PKPD and systems pharmacology models in various therapeutic areas including oncology, immune & inflammatory disease, and other disease areas to support our drug development pipeline.

• Independently strategize, plan, execute, and report QSP and PKPD modeling activities, as well as to present work at cross-functional teams, department meetings, senior management review committees, regulatory interactions, and scientific conferences.

• Work in close partnership with other scientists in Modeling and Simulation, Clinical Pharmacology, Clinical Science, Informatics, Biostatistics, Preclinical and Translational PK, DMPK, Safety Assessment, Biomarker, Diagnostics, Regulatory, and other functions.

• Contribute to best practices on application of QSP and mechanistic PKPD in drug development

• Present results at cross-functional teams, department meetings, review committees, and conferences.

• Adapt and thrive in an interactive, team-oriented culture.

Who You Are:

• Ph.D in: chemical, biomedical, or other relevant engineering fields, pharmaceutical sciences, or a related discipline.

• Typical post-PhD experience requirements are roughly: Senior Scientist, ~0-3 years; Principal Scientist, ~3-7 years

• Proficiency with PKPD and biological systems modeling approaches such as differential equations, logic, stochastic, agent-based, and/or other advanced mechanistic modeling approaches is essential as is proficiency with appropriate programming language and software (e.g., MATLAB/Simbiology, R, Python)

• Excellent communication and interpersonal skills and the ability to work independently and effectively on cross-functional teams; Strong leadership skills and the ability to influence project team collaborators.

• Strong track record of external scientific presentation and publication, commensurate with hiring level

Relocation benefits are available for this posting.

The expected salary range for this position based on the primary location of California is $101,500-$232,900 (Senior Scientist) and $148,200-$275,200 (Principal Scientist) . Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.

Benefits

Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.

If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.