Data Scientist (Clinical Trial Design) – Pharmaceutical (United States) Contract – Mid-level (Remote)

This is a remote position.

Job Role: Data Scientist (Clinical Trial Design) – Pharmaceutical (United States) Contract – Mid-level (Remote)

Overview:

From development to commercialization, we partner with Pharmaceutical, Medical Device and Biotechnology clients to provide solutions to complex compliance issues. We collaborate with our partners by providing technical expertise in Quality, Regulatory Compliance and Manufacturing Science and Technology. Our business mission is to ensure our clients exceed their compliance goals while improving patient health and safety. Visit us at www.pharmavise.com and follow us on LinkedIn: https://www.linkedin.com/company/pharmavisecorp

Our Fortune 500 Pharmaceutical client has an exciting opportunity for two (2) Data Scientists for Clinical Trial Design/Capabilities team.

Job Summary:

The purpose of this role is to bring together internal and external data and information, analyses, insights, and metrics, to drive excellence in program/trial design and delivery, enabling more efficient planning and execution to speed medicines to patients. 

Responsibilities and Job Requirements:

·        Data engineering expertise with demonstrated database and clinical domain knowledge to manage data taxonomies in support of SoA and eCOA designs and related considerations (e.g. Decentralized Clinical Trials, Cost, Patient Burden, Investigator Site Burden, etc).

·        Manage taxonomy governance cross-functionally and ensure taxonomy data is accurate and complete in partnership with cross functional teams.

·        Act as liaison between application development and business teams.

·        Analytical ability to use complex software systems while synthesizing data and information.

·        Responsible for updating Patient Burden and Investigator Site Burden framework and other metrics in-app calculations as required by business.

·        Expert in key data sources (e.g. TrialTrove, DQS, ct.gov) and clinical development.

·        Delivers data strategy for algorithms and metric calculations across the app in line with business requirements.

·        Responsible for troubleshooting and managing issues related to taxonomy and in-app data analytics to resolve issues and minimize disruption to end users.

Minimum Qualification Requirements:

•            Bachelor’s Degree in a scientific or health-related field

•            Minimum 5 years’ experience in the pharmaceutical industry, drug development, and/or related fields

•            Proficiency with data/text mining & querying tools; analytic and programming tools (Python, SQL, Node.JS, Regular expression & NLP, GraphQL, etc)

•            Experience with Agile Development, Jira, GitHub, and AWS data technologies

•            Taxonomy/Ontology management experience

Additional Preferences:

•           Post-graduate degree(s), e.g., Pharm D, M.S.