Senior Scientist, Biostatistics, Early Development Statistics
USA - Pennsylvania - North Wales (Upper Gwynedd), United States
Job Description
Our company is a global healthcare leader with a diversified portfolio of prescription medicines, vaccines, and animal health products. Our company’s success is backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare. Our company is on a quest for cures and is committed to being the world’s premier, most research-intensive biopharmaceutical company. Our company's Research Laboratories is a true scientific research facility of tomorrow and will take our company's leading pharmaceutical R&D expertise to create breakthrough science that radically changes the way we approach serious diseases.
In BARDS (Biostatistics and Research Decision Sciences), a distinguished department within our company’s renowned Research and Development division, quantitative scientists, in partnership with other subject matter experts, apply state-of-the art scientific methodologies and tools to enable the discovery, development, regulatory approval, manufacturing, and marketing of medical drugs and vaccines for the benefit of patients and global human health.
Responsibilities:
Provide data analytic solutions for real-world tasks, focusing on complex data types including images, signals, text, omics, etc.
Apply sound scientific principles and data analytic methods to pharmaceutical Research and Development (R&D) projects.
Understand customer requests and effectively communicate analysis results to customers.
Perform statistical analysis to support biological and vaccine clinical assays.
Author and review detailed statistical reports suitable for submission to health regulatory authorities, including the US FDA and international agencies.
Primary activities:
Serve as data analytic representative in cross-functional teams for pharmaceutical R&D.
Collaborate with people from diverse backgrounds and expertise, including research scientists, clinical scientists, regulatory experts, IT specialists, etc.
Identify opportunities to add value to different phases of pharmaceutical R&D projects.
Identify potential data and data analysis-related problems, propose solutions, and implement them.
Analyze data and interpret results.
Communicate analysis results effectively to audience with diverse background and expertise through both oral presentations and written reports.
Provide responses to data and analysis-related queries from research scientists, clinical scientists, and regulatory agencies.
Engage in AI/ML and statistical methodology research.
Author and review detailed statistical reports, as well as respond to inquiries from health regulatory authorities.
Education Minimum Requirement:
Ph.D. or equivalent degree in Statistics/Biostatistics/Data Science/Computer Science or related disciplines. OR
Master's degree with a minimum of 4 years of relevant work experience.
Required Experience and Skills:
Solid knowledge of AI/Machine Learning and statistical principles and methodologies.
Demonstrated strong programming skills, particularly in Python and R languages.
Strong oral and …
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Colorado Hybrid Hybrid work Hybrid work model Must be located in the US or Puerto Rico On-site Puerto Rico residents only US and Puerto Rico residents only
Benefits/PerksBonus eligibility Equal opportunity Flexible work Flexible work arrangements Healthcare Health Care Hybrid work Hybrid work model Inclusion Inclusive environment Insurance Paid holidays Research-intensive Retirement benefits Sick Days Vacation
Tasks- Analyze data
- Collaborate with cross functional teams
- Collaborate with scientists
- Communication
- Compliance
- Data Analysis
- Execution
- Identify opportunities
- Innovation
- Perform statistical analysis
- Statistical analysis
AI AI/ML Analysis Animal Health Attention to detail Biological Biopharmaceutical Biostatistics Clinical Collaboration Communication Compliance Computer Computer Science Cross-functional Teams Data Data analysis Data Science Development Education Execution Healthcare Inclusion Innovation IT Learning Machine Learning Manufacturing Marketing Medical Methodologies Methodology ML Omics Organization Pharmaceutical Pharmaceutical R&D Programming Python R R&D Regulatory Regulatory Approval Research Research and development Research decision sciences Science Scientific research Statistical analysis Statistical Methodology Statistics Teams Vaccine Vaccines Written communication
Experience4 years
EducationAS Biostatistics Business Computer Science Data Science Degree Development Equivalent Equivalent degree Health Care IT Marketing Master Master's Master's degree Ph.D. Science Statistical analysis Statistics
TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9