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

Remote: 
Full Remote
Contract: 
Experience: 
Senior (5-10 years)
Work from: 
California (USA), United States

Offer summary

Qualifications:

Bachelor's Degree in scientific/health-related field, Minimum 5 years experience in pharmaceutical industry, Proficiency with analytic and programming tools like Python, SQL, Experience with Agile Development, Jira, GitHub, AWS, Taxonomy/Ontology management experience.

Key responsabilities:

  • Manage data taxonomies for clinical designs.
  • Ensure taxonomy data accuracy with cross-functional teams.
  • Liaise between application development and business teams.
  • Synthesize data using complex software systems.
  • Troubleshoot issues related to taxonomy and data analytics.
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Pharmavise Corporation
1 - 10 Employees
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Job description

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.

           Experience in clinical research or clinical trial planning, design and operations preferred

           Demonstrated ability to acquire and maintain expertise to support business and business partner needs

 

Other Details:

·         Schedule: Full Time, 40 hrs a week, EST time zone

·         Contract Length: 12 months w/ renewal

·         Work Set Up: Remote

 

EEO Employer:

 

Pharmavise Consulting Corp. is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Pharmavise Consulting Corp. will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require accommodation in using our website for a search or application, please contact info@pharmavise.com.

 

Pharmavise Consulting Corp. is a regulatory compliance consulting firm that partners with Pharmaceutical, Medical Device and Biotechnology clients. When you join Pharmavise, you become part of a team that values Excellence Through Quality.

 

E-Verify Participation:

 

Pharmavise Consulting Corporation participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. If E-Verify cannot confirm that you are authorized to work, Pharmavise is required to give you written instructions and an opportunity to contact Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue. For more information on E-Verify, please contact DHS at 888-897-7781 or through their website at dhs.gov/e-verify.

 



Required profile

Experience

Level of experience: Senior (5-10 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Problem Solving
  • Verbal Communication Skills
  • Collaboration
  • Analytical Skills

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