Senior Data Scientist

That’s why we’re seeking a Senior Data Scientist accountable for supporting our data strategy, data analytics, data visualization, scientific reporting, data formatting/transfers, and our data infrastructure. This position requires strong communication and presentation abilities to understand sponsor needs, translate these into data analysis plans, program output, and to summarize and cogently present results and interpretations. The Senior Data Scientist must ensure data quality, result accuracy, and timely delivery. The Senior Data Scientist will collaborate closely with other members of the Data and Scientific Services team to develop and deliver data-driven solutions to meet the needs of internal and external stakeholders.

Key Responsibilities

• Understand sponsor data needs and be able to translate these requirements into necessary analytics 
• Proactively specify algorithms, models, analyses, and output required to meet sponsor needs 
• Draft business requirement documents and specifications. 
• Anticipate reporting and analytic needs to support sponsors
• Understand CDISC standards and clinical trial submission processes and be able to produce data transfers and trial documentations to these standard independently
• Confidence to present results and interpretations independently to sponsors 
• Ability to explain complex data concepts in an easily understandable way
• Skilled at summarizing data in suscinct, effective presentations and executive summaries.
• Independently manage numerous data analytic projects and deliverables concurrently 
• Build, develop, and deploy data analytics, data models, reporting systems, data automation systems, dashboards and performance metrics.  
• Maintain reporting systems and dashboards. 
• Support the creation of data visualization tools.
• Draft and implement Statistical Analysis Plans. 
• Monitoring of study data  
• Data transformation, transposition, cleaning, curation and reprocessing in support of data transfers and delivery to sponsors.
• Implementation of CDISC data standards including SDTM and ADaM datasets.
• Interact with sponsors to resolve scientific queries and participate in study planning. 
• Write clinical study reports, analytic reports, and other scientific reports.
• Contribute to data curation and aggregation. Provide requirements and documentation of data structure and needs to support data analytics. 
• Analyze and report on cognitive outcome measures and cognitive tests. 
• Develop and qc statistical and programming output while maintaining rigorous quality standards. 
• Interact with project management, statistics, data management, statistical programming, and site services teams internally to support scientific analysis and reporting and support data related questions. 
• Develop solutions to unique customer requests relating to topics such as stratification, inclusion, reliable change monitoring, data monitoring, normative data, and other cognitive testing applications. 
• Generate clinical study report summary tables, data listings, figures, and other output as specified in the statistical analysis plan or other scientific reporting specification. 
• Review and monitor cognitive data rater performance, data monitoring findings, custom programming/statistical analysis, normative data, z-scores and computations. 
• Analyze and interpret cognitive data from clinical trials and research studies.  
• Critically evaluate internal processes and scientific methodologies. 
• Contribute to the development of processes, technology, and infrastructure which support the functions of scientific services and related operations. 
• When acting as a QC programmer, work independently from source data and ensure a 100% match of all output. 
• Maintain an intimate knowledge of Cogstate’s data systems.
• Provide requirements for development and commercialization of new technology.
• Test new features and bug fixes as needed related to data analytics and reporting. 

Requirements

• Degree in data science, computer science, mathematics, psychology, neuroscience, statistics or a related area. MA/MS may be considered with additional experience and demonstrated proficiency.
• PhD Strongly preferred
• 5-10 years of prior experience in industry or academic setting.
• Experience with data analysis, statistics, and scientific writing and presentation. 
• Exceptional R expertise to run data analytics and advanced statistics
• Deep Python/Pyspark experience
• Predictive / ML modelling expertise

Skills, Knowledge and Specialist Expertise

• Proven ability to successfully manage a full workload across multiple-projects independently. 
• Ability to work in a fast-paced, team-oriented environment. 
• Exceptional time and resource management. 
• Data analytics, requirements gathering, and specification skills. 
• Data presentation experience and skill. Confidence to present. 
• Experience with cognition and/or neuropsychological testing. 

What’s In It For You

• Remote Work Practices: Cogstate is a virtual first company. Cogstate employees can work from anywhere where Cogstate is registered to business within the United States, Australia, or the United Kingdom!
• Generous Paid Time-off: Cogstate employees receive 20 days of vacation leave, 10 days of personal leave and 10 paid public holidays.
• 401(k) Matching: As you invest in yourself and your future, Cogstate invests in you too: we match up to3% of your yearly salary in Cogstate’s 401k program.
• Competitive Salary: We offer competitive base salaries plus additional earning opportunities based on the position.
• Health, Dental & Vision Coverage: We've invested in comprehensive health & dental insurance options with competitive company contributions to help when you need it most. We also offer free vision insurance for all full-time employees.
• Short-Term & Long Term Disability Life Insurance: 100% employer sponsored
• Pre-Tax Benefits: Healthcare and Dependent Care Flexible Spending Accounts
• Learning & Development Opportunities: Cogstate offers a robust learning program from mentorships to assistance with programs to improve knowledge or obtain certifications in applicable areas of interest.