Beschreibung
Tasks & ResponsibilitiesHe/she would have the primary responsibility to design and implement analyses using a variety of data sources such as electronic medical records, clinical trials, genomics, etc. The evidence and insights generated will inform the study management teams and support clinical operations decisions. This will require an understanding of molecule and disease area strategies, clinical trial data, as well as good knowledge of the clinical trial management systems and data science expertise.
Major Responsibilities
• Dive into data: Develop a comprehensive understanding of the clinical operational data we work with and foster learning with colleagues using analytical tools and applications.
• Implement analytics solutions: Work closely with data partners to design and implement efficient analytics tools.
• Act as a partner to all relevant teams and stakeholders. Identify evidence needs & recommend and implement data solutions
• Apply analytical and statistical methods to answer a variety of business questions using multiple data sources and technical tools.
• Monitor and assess the effectiveness of enrollment and engagement efforts, projects, and practices and identify opportunities to optimize value of investments.
• Increase the sophistication and application of advanced analytics methods (including predictive modeling, machine learning, and scalable prototypes) to measure study performance and guide program-level decisions efficiently and at the speed of business.
• Regularly assess and adjust priorities based on stakeholder feedback, organizational needs, and strategic relevance
• Demonstrate strategic agility and an ability to engage stakeholders to understand and diagnose Clin Ops problems and recommend appropriate courses of action.
• Acquire, aggregate and/or curate data and information.
• Produce high quality analyses: Plan for data processing; design a fit-for-purpose analysis plan, assess effective ways of presenting and delivering the results to maximize impact and interpretability.
Who you are
We are looking for people who are nimble, curious, able to effectively collaborate, lend expertise to multi-functional teams, and adapt quickly to competing priorities.
• Ability to adapt to evolving internal and external pressures, provide focus and direction to successfully navigate complexity, uncertainty, and ambiguity
• Open to embrace new ideas and ability to operate in a flexible manner
• Strong interpersonal skills and a consultative mindset, with the ability to influence without direct authority, and to develop strong partnerships
• “Self-starter”; strong sense of responsibility with demonstrable comfort in an entrepreneurial environment.
• Good problem-solving ability, breaking down complex problems into distinct parts, managing uncertainty, understanding, anticipating interdependencies.
Must Haves
• MSc, PhD or similar educational background, in a quantitative data science discipline (e.g., statistics, computer science, epidemiology, economics or physical sciences) (*)
• 2+ years relevant work experience preferably within pharmaceutical (ideally Clinical Operations or Drug Development) or biotech industry and/or management consulting (*)
• Experience in some of the following areas: Patient Insights, Investigator Insights, Forecasting, Competitive Intelligence, Data Analytics, Advanced Data Analytics, Resourcing, Information Visualization and/or Data Science (*)
• Experience using scripting, statistical & programming languages, visualization and analytical tools a plus (i.e. Python, Tableau, Spotfire, R, SAS, Google/Adobe analytics, SQL) ()
• Hands-on experience implementing advanced analytics and interacting with diverse data sources to translate and enable Clinical Operations decisions (***)
• Record of accomplishment of effectively working in a matrix environment with international team members coming from scientific, business and operational backgrounds, using influence without authority.
• Experience with agile methodologies (i.e. scrum) is a plus.
• Persuasive written and verbal communication skills, easily communicating complex ideas.
• Business fluency in English (written and spoken)F