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Principal Scientist
Principal ScientistClinical Dynamix • Boston, Massachusetts, United States
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Principal Scientist

Principal Scientist

Clinical Dynamix • Boston, Massachusetts, United States
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  • [job_card.full_time]
[job_card.job_description]

This range is provided by Clinical Dynamix. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$75.00 / hr - $90.00 / hr

Principal Scientist (Contract to Perm); Hybrid in office 3 days per week

Description

Reporting to the VP, Clinical Pharmacology, the Principal Scientist will work with Discovery Research and Development team members to support PPK / PKPD / ER dataset preparation and exploratory data visualization, across early and late-stage programs.

This role may be a hybrid role. Their office-based employees are required to work in the office three (3) days a week.

This role is a contract-to-hire position.

Responsibilities (including, but not limited to)

Clean PK / Immunogenecity related datasets

Transform the relevant STDM and ADaM datasets, and other sources of data to enable PPK, PKPD and ER analyses

Develop SAS (or R) codes to perform data visualization, descriptive statistical summary in TLFs

Ensure dataset formatted according to CDISC standard

Collaborate with biostatistics programmers, statisticians, and pharmacometricians, to ensure data consistency and accuracy for general PK, PK / PD and ER analyses

Stay informed with emerging literature in programming approaches in PMx field

Maintain current understanding of global regulatory expectations for CDISC requirements

Requirements

Requires an MS or PhD or equivalent in educational background in Statistics, Mathematics, Informatics, Chemical engineer, Computer Science, Pharmaceutical Science, or a related field with 10+ (MS degree) or 5+ (PhD) years of clinical pharmacology related programming or data science experience

Seasoned in SAS programming (or R)

Experienced with CDISC (e.g., STDM, ADaM) standards, and experienced with Clinical Pharmacology related datasets (e.g., PC, adpc, adpp, and PPK / ER datasets)

Demonstrated ability to handle uncleaned data, identify data issues, and implement different programming procedures according to the pharmacometrics modelling needs

Seniority level

Associate

Employment type

Contract

Job function

Science

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