Data Manager for B2B - Mailings at ZEIT Advise, supporting the automation and segmentation of marketing processes in Hamburg. Focusing on CRM systems and email marketing strategies.
About the role
- Director, R&D Data Science & Digital Health at Johnson & Johnson developing real-world evidence strategies for innovative medicines. Collaborating across various teams to enhance clinical study designs and data solutions.
Responsibilities
- Contribute to the design and execution of a Data Science & Digital Health (DSDH) RWE (Real World Evidence) strategy in alignment to the Immunology Therapeutic Area (IMM TA) goals and objectives
- Partner with DSDH colleagues and the IMM TA to define and prioritize a portfolio of innovative medicines
- Provide strategic input into the Immunology R&D DSDH RWE priorities ranging from individual projects to large collaborations
- Identify viable data science and digital health opportunities
- Serve as a key liaison to functional area partners and provide support for collaborations
- Execute the DSDH RWE strategy across a matrixed cross-functional CDT and the Clinical Team
- Provide strategic leadership on managing/addressing specific project/program-related issues
Requirements
- PhD, PharmD, or MD (or equivalent) in statistics, bioinformatics, computational biology, epidemiology, applied mathematics, computer science, physics, engineering or related fields, is required
- 8+ years of progressive business experience in the pharmaceutical R&D, data science, digital health
- Familiarity with data science and digital health
- Experience with healthcare datasets, such as EHR, or insurance claims
- A strong background in RWE/Data Science & Digital Health
- Experience delivering data science projects using predictive technologies, data mining and/or text mining
- Experience analyzing or handling healthcare data sets, including EHR, claims and registry data
- Experience with data science tools and statistical programming languages, including SQL, Python, R, and others
- Experience with defining use cases for deep learning, foundational models, and machine learning
Benefits
- medical
- dental
- vision
- life insurance
- short- and long-term disability
- business accident insurance
- group legal insurance
- retirement plan (pension)
- savings plan (401(k))
- time off benefits: up to 120 hours vacation, up to 40 hours sick time, up to 13 holidays, up to 40 hours personal and family time
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Lead Data Scientist at AT&T, building predictive models and analyzing customer lifecycle marketing strategies. Collaborating with cross - functional teams to enhance marketing and business outcomes.
Drive enterprise - scale AI strategy and architecture while leading multidisciplinary teams in a global IT consulting firm.
Lead Data Scientist managing AI initiatives for a global IT consulting firm. Overseeing AI strategy, governance, and multidisciplinary team leadership in a hybrid work environment.
Data Scientist developing analytical and AI solutions for Vibra Energia business impact. Engaging in data ingestion, processing, and machine learning product development.
ML Engineer/Data Scientist developing technology - based solutions for clients in Greece's diverse industry sectors. Collaborating with teams to implement and optimize machine learning models and data ecosystems.
Senior Data Scientist conducting quantitative modeling and analytics of financial crimes leveraging technologies at KeyBank. Collaborating on compliance needs and model building with compliance and risk partners.
Head of Analytics & Data Science uniting data teams and transforming analytics production at Virgin. Setting strategy, building capabilities, and aligning business goals.
Data Scientist at Securian Financial leveraging data to drive business outcomes and working with stakeholders. Utilizing various analysis and modeling techniques to solve complex business problems.
Lead Data Scientist applying machine learning expertise to drive AI initiatives at Securian Financial. Collaborating across teams to advance enterprise AI and analytics capabilities with a focus on innovation.