Manager, Data Science and AI delivering actionable insights and AI - powered analytics tools for Pfizer’s Commercial organization. Leading execution of AI/ML models and facilitating communication of data - driven insights.
About the role
- Senior Clinical Data Manager familiar with hematologic malignancies for Tempus, enhancing curation guidance and managing data abstraction processes.
Responsibilities
- Manage the clinical abstraction process to construct the foundation of a growing database for hematologic malignancies
- Handle team requests and queries, providing clinical expertise and fielding specific abstraction questions
- Leveraging knowledge gained from pilot testing and abstraction queries for development of subtype specific guidance
- Utilize evidence-based research to underpin subtype development
- Develop and maintain abstraction guidelines and rules by writing and updating SOPs driven by quality metrics and trends
- Maintain abstraction quality by developing, interpreting, and tracking standards for the accuracy of data
- Work with multiple data sources and formats to support report and insight generation
- Train and guide Data Abstractors
- Uphold quality standards by coaching and counseling employees; planning, monitoring, and appraising abstractor performance
Requirements
- CTR, BSN or MSN, or deep clinical data experience (data managers, clinical monitors, CRAs) preferred
- 4+ years experience in a clinical or research setting with a preferred focus on hematologic malignancies
- Knowledge of medical and genomic terminology, medical abbreviations, and pharmacy terms
- Management experience is strongly preferred
- Training experience is a plus
- Experience in a fast-paced environment
- Excellent interpersonal, written, and verbal communication skills
- Ability to work efficiently under time constraints
- Obsessive attention to detail
- Strong leadership skills, ability, and willingness to work in an agile and expanding team environment
- Collaborative mindset
- Ability to multitask and prioritize daily workload independently
- Willingness to be flexible and adapt quickly
- Proficient in Google Suite (Gmail, Google Docs, Sheets, etc.)
Benefits
- incentive compensation
- restricted stock units
- medical and other benefits
Job title
Job type
Experience level
Salary
Degree requirement
Location requirements
Data Scientist at Votorantim Cimentos focusing on Sales & Marketing data initiatives and model development. Collaborating with stakeholders to deliver effective data solutions.
Senior Data Scientist at INSZO applying data - driven solutions for improved patient outcomes in healthcare. Working on complex challenges using large datasets and innovative algorithms.
Data Scientist leveraging expertise in statistics, machine learning, and AI at Simplot. Contributing to diverse, challenging projects to create business value.
Data Scientist analyzing data for informed decision - making at PayPal. Collaborating cross - functionally to enhance process quality and effectiveness in payment solutions.
Product Owner developing clear product vision and AI applications at Volkswagen Group. Collaborating with data scientists and external partners to drive product success.
Data Scientist advancing drug discovery through virtual screening pipelines and interdisciplinary team collaboration. Enhancing hit identification, expansion, and optimization in a drug invention company in Paris.
Data Scientist at Recommend transforming data into insights for global brands. Join a growing team and leverage your data skills.
Director of Product Analytics at Matillion driving AI SaaS analysis and mentoring a team of analysts. Responsible for optimizing usage, adoption, and business impact for SaaS products.
Insights Lead overseeing large projects within data analytics field. Ensuring timely delivery, managing teams, and mitigating risks for project success.