Job Description

Locations

• Taipei
• Seoul

Skills Required

• Bachelorsintermediate
• Mastersintermediate
• PhD/JDintermediate
• at least one of the following areas: Patient Insightsintermediate
• various forecasting methodsintermediate
• scriptingintermediate
• standard analysisintermediate

Required Qualifications

• In Individual Contributors, we are looking for people who are nimble, curious, able to effectively collaborate and lend expertise to multi-functional teams and adapt quickly to competing priorities within their Disease Area. We are also looking for people who are committed to continuing to make Roche a great place to work, by seeking opportunities to develop their own and others’ expertise through ongoing mentorship and coaching. (experience)
• "Self-starter"; strong sense of responsibility with demonstrable comfort in an entrepreneurial environment (experience)
• Able to work effectively in a fluid, cross-functional, global matrixed environment and stand out as a successful collaborator (experience)
• Strong interpersonal skills and a consultative mindset, with the ability to develop strong partnerships (experience)
• Good problem-solving ability, breaking down complex problems into distinct parts, managing uncertainty, understanding, anticipating interdependencies (experience)
• Able to proactively “connect the dots” by asking thought-provoking questions (experience)
• Objective when presenting insights and guiding decision-making; demonstrate good presentation skills by pairing sound analytics with storytelling (experience)
• Motivated to continuously improve performance; outcomes-focused and driven to achieve objectives (experience)
• Able to lean in and manage through change (experience)
• Committed to elevating the role of data analytics in decision making and building data literate communities (experience)
• "Self-starter"; strong sense of responsibility with demonstrable comfort in an entrepreneurial environment (experience)
• Able to work effectively in a fluid, cross-functional, global matrixed environment and stand out as a successful collaborator (experience)
• Strong interpersonal skills and a consultative mindset, with the ability to develop strong partnerships (experience)
• Good problem-solving ability, breaking down complex problems into distinct parts, managing uncertainty, understanding, anticipating interdependencies (experience)
• Able to proactively “connect the dots” by asking thought-provoking questions (experience)
• Objective when presenting insights and guiding decision-making; demonstrate good presentation skills by pairing sound analytics with storytelling (experience)
• Motivated to continuously improve performance; outcomes-focused and driven to achieve objectives (experience)
• Able to lean in and manage through change (experience)
• Committed to elevating the role of data analytics in decision making and building data literate communities (experience)

Preferred Qualifications

• Bachelor’s Degree (Business, Economics, Statistics, Mathematics, or Physical Sciences or related field is a plus); MBA or Graduate-level Degree is preferred (degree in physical sciences or related field is a plus)
• 7+ years of work experience with Bachelors; 5+ year of work experience with Masters; 3+ years of work experience with PhD/JD, preferably within pharmaceutical or biotech industry (commercial or clinical) and/or management consulting (experience, 7 years)
• Deep expertise in at least one of the following areas: Patient Insights, Investigator Insights, Forecasting, Competitive Intelligence, Data Analytics, Statistics, Advanced Data Analytics, Resourcing, Information Visualization and/or Data Science (experience)
• Demonstrated experience translating data into insights and creating compelling narratives (experience)
• Portfolio management experience is highly desirable (experience)
• Bachelor’s Degree (Business, Economics, Statistics, Mathematics, or Physical Sciences or related field is a plus); MBA or Graduate-level Degree is preferred (degree in physical sciences or related field is a plus)
• 7+ years of work experience with Bachelors; 5+ year of work experience with Masters; 3+ years of work experience with PhD/JD, preferably within pharmaceutical or biotech industry (commercial or clinical) and/or management consulting (experience, 7 years)
• Deep expertise in at least one of the following areas: Patient Insights, Investigator Insights, Forecasting, Competitive Intelligence, Data Analytics, Statistics, Advanced Data Analytics, Resourcing, Information Visualization and/or Data Science (experience)
• Demonstrated experience translating data into insights and creating compelling narratives (experience)
• Experience with various forecasting methods and techniques strongly preferred (experience)
• Experience with various forecasting methods and techniques strongly preferred (experience)
• Understands the advantages and limits of different analytical approaches (experience)
• Considerable experience applying exploratory & confirmatory data analysis techniques that inform business decisions (experience)
• Experience with scripting, statistical & programming languages and analytical tools preferred (i.e. Python, R, SQL, Matlab, SAS, Google/Adobe analytics) (experience)
• Autonomous or semi-autonomous examination of data or content (experience)
• Demonstrated use of sophisticated techniques, tools & languages typically beyond those of traditional data analysis to discover deeper insights, make predictions, or generate recommendations (experience)
• Understands the advantages and limits of different analytical approaches (experience)
• Considerable experience applying exploratory & confirmatory data analysis techniques that inform business decisions (experience)
• Experience with scripting, statistical & programming languages and analytical tools preferred (i.e. Python, R, SQL, Matlab, SAS, Google/Adobe analytics) (experience)
• Autonomous or semi-autonomous examination of data or content (experience)
• Demonstrated use of sophisticated techniques, tools & languages typically beyond those of traditional data analysis to discover deeper insights, make predictions, or generate recommendations (experience)
• Experience acting as a strategic thought partner to teams; Entrepreneurial mindset, to transform the way we use data and analytics to enable decisions and hasten our delivery of medicines for our patients (experience)
• Track record of effectively working in a matrix environment with international team members coming from scientific, business and operational backgrounds, using influence without authority (experience)
• Expertise in standard analysis and presentation software (Excel, PowerPoint) (experience)
• Ability to merge together data sets from disparate sources and report findings in a variety of formats and mediums (experience)
• Persuasive written and verbal communication skills, easily communicating complex ideas. (experience)
• Strong attention to detail (experience)
• Experience managing outside vendors preferred (experience)
• Experience acting as a strategic thought partner to teams; Entrepreneurial mindset, to transform the way we use data and analytics to enable decisions and hasten our delivery of medicines for our patients (experience)
• Track record of effectively working in a matrix environment with international team members coming from scientific, business and operational backgrounds, using influence without authority (experience)
• Expertise in standard analysis and presentation software (Excel, PowerPoint) (experience)
• Ability to merge together data sets from disparate sources and report findings in a variety of formats and mediums (experience)
• Persuasive written and verbal communication skills, easily communicating complex ideas. (experience)
• Strong attention to detail (experience)

Responsibilities

• Work with Clinical Operations Disease Area Communities (CODACs) and Clinical Operations Portfolio Enabling Communities (COPECs), Franchise Leads, Study Management & Country Leaders, Study Management Teams, Late Stage Portfolio Committee (LSPC) stakeholders, Lifecycle Teams to understand business needs and priorities, as well as immediate scope of work
• Deliver integrated insights and analytics, trade-off analyses, and risk assessment to enable optimization of patient recruitment strategies, country footprint, and clinical site selection for ongoing and planned clinical trials
• Partner with relevant stakeholders to assess the health of the portfolio of clinical trials and identify opportunities to accelerate the delivery of studies and product launches
• Increase the sophistication and application of advanced analytics methods (including predictive modeling, machine learning, and scalable prototypes) to measure study performance and guide portfolio-level decisions efficiently and at the speed of business
• Create and manage tools with up-to-date industry information to build accurate short-and long-term forecasts
• Work with other team members to pull in insights from primary and secondary data, to continuously improve forecast methods and accuracy
• Communicate the effects that trial design elements, country and site selection, competitor activities and new engagement tactics will have on clinical trial recruitment & retention forecasts
• Provide technical/analytical expertise to team through secondary data analytics
• Apply analytical and statistical methods to answer a variety of business questions using multiple data sources and technical tools/languages
• Monitor and assess the effectiveness of enrollment and engagement efforts, projects, and practices and identify opportunities to optimize value of investments
• Support the identification of appropriate sites and countries for trial placement
• Act as subject matter expert for applicable advanced analytical methodologies, programs and projects
• Collaborate within cross-functional teams to develop solutions, gain alignment and deliver impactful business insights; engage necessary stakeholders to enable better decision-making
• Openly share perspective and insights to elevate team thinking and drive a balanced, holistic point of view; effectively weigh and communicate trade-off considerations
• Take an enterprise and One PDG mindset, linking individual responsibilities with broader organization; focus on outcomes that provide most business value
• Demonstrate self-accountability and integrity
• Demonstrate strategic agility and an ability to engage stakeholders to understand and diagnose business problems and recommend appropriate courses of action
• Look for opportunities for continuous improvement; engage managers and peer group regularly for coaching, assistance, and advocacy
• Stay current with and adopt emergent relevant methodologies, tools and applications to ensure fit-for-purpose and impactful approaches
• Act as a thought partner and advisor to all relevant teams and stakeholders; look for and establish opportunities for peer mentorship
• Actively participate in cross functional communities, networks and/or knowledge-sharing bodies that enable broader and more effective use of insights and/or analytics that drive and support decisions
• Acquire, aggregate and/or curate data and information
• Work with Clinical Operations Disease Area Communities (CODACs) and Clinical Operations Portfolio Enabling Communities (COPECs), Franchise Leads, Study Management & Country Leaders, Study Management Teams, Late Stage Portfolio Committee (LSPC) stakeholders, Lifecycle Teams to understand business needs and priorities, as well as immediate scope of work
• Deliver integrated insights and analytics, trade-off analyses, and risk assessment to enable optimization of patient recruitment strategies, country footprint, and clinical site selection for ongoing and planned clinical trials
• Partner with relevant stakeholders to assess the health of the portfolio of clinical trials and identify opportunities to accelerate the delivery of studies and product launches
• Increase the sophistication and application of advanced analytics methods (including predictive modeling, machine learning, and scalable prototypes) to measure study performance and guide portfolio-level decisions efficiently and at the speed of business
• Create and manage tools with up-to-date industry information to build accurate short-and long-term forecasts
• Work with other team members to pull in insights from primary and secondary data, to continuously improve forecast methods and accuracy
• Communicate the effects that trial design elements, country and site selection, competitor activities and new engagement tactics will have on clinical trial recruitment & retention forecasts
• Provide technical/analytical expertise to team through secondary data analytics
• Apply analytical and statistical methods to answer a variety of business questions using multiple data sources and technical tools/languages
• Monitor and assess the effectiveness of enrollment and engagement efforts, projects, and practices and identify opportunities to optimize value of investments
• Support the identification of appropriate sites and countries for trial placement
• Act as subject matter expert for applicable advanced analytical methodologies, programs and projects
• Collaborate within cross-functional teams to develop solutions, gain alignment and deliver impactful business insights; engage necessary stakeholders to enable better decision-making
• Openly share perspective and insights to elevate team thinking and drive a balanced, holistic point of view; effectively weigh and communicate trade-off considerations
• Take an enterprise and One PDG mindset, linking individual responsibilities with broader organization; focus on outcomes that provide most business value
• Demonstrate self-accountability and integrity
• Demonstrate strategic agility and an ability to engage stakeholders to understand and diagnose business problems and recommend appropriate courses of action
• Look for opportunities for continuous improvement; engage managers and peer group regularly for coaching, assistance, and advocacy
• Stay current with and adopt emergent relevant methodologies, tools and applications to ensure fit-for-purpose and impactful approaches
• Act as a thought partner and advisor to all relevant teams and stakeholders; look for and establish opportunities for peer mentorship
• Actively participate in cross functional communities, networks and/or knowledge-sharing bodies that enable broader and more effective use of insights and/or analytics that drive and support decisions
• Acquire, aggregate and/or curate data and information

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