*job function*: data analytics & computational sciences *job sub*function*: data science *job category*: scientific/technology *all job posting locations*: mexico city, mexico at johnson & johnson, we believe health is everything.
our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal.
the senior analytical monitor is an experienced individual contributor with strong knowledge of site monitoring and analytical risk based monitoring (arbm) practices, data analytics, methods, processes, and technologies.
empowered by technology, optimized processes and targeted data analytics, analytical monitors will enable site managers to dedicate a greater proportion of their time for meaningful engagement with sites, driving improved performance, data reliability and site satisfaction.
the senior analytical monitor i s accountable for executing processes and activities for multiple clinical trials in conformance to all relevant laws, regulations, guidelines, policies, and procedures.
they typically work with mínimal direction from their functional manager.
this position collaborates closely with site managers, other data management & central monitoring roles, & other internal partner functions and/or external service providers to achieve successful, cooperative partnerships.
principal responsibilities: - conducts activities in compliance with j&j; and functional sops, processes and policies.
- may support innovation or process improvement projects which may include but are not limited to requirements development, user acceptance testing and identification of improvements to existing and new analytical tools.
- facilitates smooth and effective communication, managing multiple communication streams and influencing key cross functional stakeholders.
follows agreed escalation pathways where needed.
*analytical monitor*r*ole-*s*pecific*r*esponsibilities*: - performs analytical monitoring activities for clinical trials within assigned scope of responsibility in line with portfolio timelines and priorities, including support of execution and close-out as outlined in the end-to-end process for multiple trials, often of higher complexity.
- provides timely analytical data insights to support the site manager s in making decisions on site prioritization and critical engagement.
*principal relationships*: - functional contacts in j&j; innovative medicine include but are not limited to site managers and local trial managers.
- functional contacts within idar include but are not limited to functional leadership, central monitoring, data management, data acquisition experts, clinical programmers.
- external contacts include but are not limited to external service providers.
*education and experience requirements*: required - bachelor's degree (e.g., bs, ba) or equivalent professional experience is required, preferably in health sciences or data sciences.
advanced degrees preferred (e.g., masters, phd).
- approximately 8+ years of experience in pharmaceutical, cro or biotech industry or related field or industry.
- knowledge of trial site operations and study execution - strong knowledge of regulatory guidelines (e.g., ich-gcp).
- demonstrated strong understanding of data analysis and familiarity with basic statistical concepts and hands - on experience using data visualization tools - strong experience working with technology platforms and systems used for the collection, analysis and reporting of data.
- experience working in highly diverse teams within clinical research; cross-functional, general, multiregional - planning and coordination skills.
experience working with cross-functional stakeholders and leading teams in a matrix environment and partnering with/managing stakeholders.
- strong leadership and communication skills (written and verbal).
ability to influence stakeholders.
- excellent written and verbal communication skills (in english) - strong knowledge of clinical drug development processes *preferred experience* - w orking with complex data structures and reporting specifications - w ork ing with external data e.g., safety lab, pk, simple biomarkers, ecg, or similar.
- possess proficiency in statistical analysis, data modelling, and data visualization techniques, or demonstrate strong knowledge in these areas.
- strong k nowledge of monitoring and risk-based quality management (rbqm)/risk-based monitoring (rbm) / quality by design ( qbd ) concepts
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