Senior Data Scientist applying advanced analytics and data science techniques for P&C insurance solutions. Collaborating with stakeholders to improve pricing accuracy and risk management.
About the role
- Manager, Data Science in Oncology supporting data engineering and R&D projects at Johnson & Johnson. Leading technical contributions and collaborating with diverse teams in healthcare data.
Responsibilities
- Serve as both a people leader and a hands-on contributor for designing, developing and maintaining data pipelines for acquiring, managing and storing Oncology R&D data from diverse sources (e.g. biomarker labs, real-world data sources, pre-clinical applications)
- Work closely with Data Science and Oncology R&D partners to understand, document and prioritize business requirements.
- Translate these business needs in to high quality data products.
- Work closely with other technical leaders, such as Ontology and Knowledge graph Engineers to design and deliver future-proof, AI-ready data systems aligned with Oncology R&D business needs.
- Develop Oncology R&D-specific data repositories by implementing standard enterprise-level data models and create new data models as needed.
- Leverage cloud-based technology platform to accomplish goals, such as building and maintaining data repositories using AWS S3.
- Create and optimize data flows for structured and unstructured data using technologies such as Python, R, SQL, AWS services and other relevant tools.
- Implement quality and performance standards and measure KPIs to determine accuracy and consistency
- Leverage and implement data versioning and lineage tracking to support data traceability, compliance, maintaining documentation for data architectures and workflows.
- In adherence to internal standards, implement software development best practices such as Code Versioning, DevOps.
Requirements
- Advanced degree (Master’s or equivalent) in Computer Science, Engineering, Life Sciences, or other relevant field is strongly preferred.
- 5+ years of experience in data engineering, including data modeling and database design, preferably in the healthcare industry
- 2+ years experience managing a technical team aimed at delivering data systems, preferably in the healthcare industry.
- Proficiency in data engineering tools such as Python, R and SQL for data processing as well as cloud architecture (e.g. AWS services, Redshift, FSx, Glue, Lambda).
- Experience with unstructured database technologies (e.g. NoSQL) as well as other database types (e.g. Graph).
- Strong skills in analysis, problem-solving, organizational change, project delivery, and managing external vendors.
- Proven record leading improvement initiatives with multi-disciplinary and remote partners.
- Demonstrated stakeholder management capabilities- including requirements gathering, business analysis and planning.
- Must have the capacity to translate discussions into user requirements and project plans.
- Ability to manage a numerous projects simultaneously, prioritize work, exhibit organizational skills and flexibility to deliver maximum business value.
- Willingness to conduct periodic travel (<15% of time) to conferences and internal meetings.
- Experience with healthcare data standards (e.g. CDISC, HL7, FHIR, SNOMED CT, OMOP, DICOM).
- Familiarity with machine learning operations (MLOps) and model deployment.
Benefits
- medical
- dental
- vision
- life insurance
- short- and long-term disability
- business accident insurance
- group legal insurance
- consolidated retirement plan (pension)
- savings plan (401(k))
- vacation – up to 120 hours per calendar year
- sick time - up to 40 hours per calendar year
- holiday pay, including floating holidays – up to 13 days per calendar year
- personal and family time - up to 40 hours per calendar year
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Data Scientist role at Unimed Porto Alegre developing analytics and AI solutions. Focus on data modeling and machine learning for better decision - making in healthcare.
Data Scientist AI developing end - to - end AI solutions for Airbus. Partnering with business functions to translate challenges into AI opportunities and support AI capability teams.
Data Science Specialist responsible for developing scalable machine learning solutions and mentoring team members at Comgás, enhancing data - driven decision - making processes.
Data Science Specialist at Comgás leveraging AI for business impact through technology innovation. Transforming complex business challenges into scalable analytical solutions.
Analyst role focusing on data - driven insights and portfolio management in education sector at YDUQS. Collaborating across teams to enhance product lifecycle and performance.
Join Johnson & Johnson as Associate Director in Data Science. Focus on transforming neuroscience clinical trials through AL/ML and digital health technologies.
Manager in Data Science for Oncology, supporting data workflows and engineering requirements in R&D. Collaborate with technical teams to deliver AI - ready data applications for innovative medicine.
Senior Data Analyst transforming data into insights for product development at a leading Brazilian bank. Join us to leverage data for better financial outcomes in a diverse environment.
Technology Portfolio Reporting & Analytics Lead owning reporting and analytics for executive insights at Syneos Health. Collaborating across functions to drive performance and accountability in technology investments.