Principal Scientist (Contract)

At Viridian, we are focused on developing best-in-class medicines for people living with autoimmune and rare diseases. Leveraging our team’s expertise in antibody discovery and engineering, we have created a robust pipeline of differentiated investigational therapeutic candidates for well-validated targets.

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

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This role may be based in our Waltham, MA headquarters, which would be a hybrid role, or it can also be fully remote. Our office-based employees are required to work in the office three (3) days a week. If remote, travel to headquarters for meetings would be required at the discretion of management. This position will start as a 6-month contract rol

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Responsibilities (including, but not limited t

• o):Clean PK/Immunogenecity related datas
• etsPerform PK database l
• ockTransform the relevant STDM and ADaM datasets, and other sources of data to enable PPK, PKPD and ER analy
• sesDevelop SAS (or R) codes to perform data visualization, descriptive statistical summary in T
• LFsEnsure dataset formatted according to CDISC stand
• ardCollaborate with biostatistics programmers, statisticians, and pharmacometricians, to ensure data consistency and accuracy for general PK, PK/PD and ER analy
• sesStay informed with the emerging literature in programming approaches in PMx fi
• eldMaintain current understanding of global regulatory expectations for CDISC requireme

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Requirem

• entsRequires 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 experi
• enceSeasoned in SAS programming (o
• r R)Experienced with CDISC (eg, STDM, ADaM) standards, and experienced with Clinical Pharmacology related datasets (eg, PC, adpc, adpp, and PPK/ER datas
• ets)Demonstrated ability to handle uncleaned data, identify data issues, and implement different programming procedures according to the pharmacometrics modelling n
• eedsExcellent attention to fine data det