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Genentech

Biotech firm creating medicines via R&D

Portfolio Analytics Lead

Data ScienceConfirmed live in the last 24 hours
Full-timeNo salary listedIn-person

About the Job

Requirements

  • A Bachelor's degree in Business, Economics, Statistics, Mathematics, or Physical Sciences, or a related field, is a plus; an MBA or graduate-level degree is preferred.
  • Seven or more years of work experience with a Bachelor's degree, five or more years with a Master's degree, or three or more years with a PhD or JD; experience in pharmaceutical or biotech commercial or clinical work, and/or management consulting, is preferred.
  • Deep expertise in at least one of Patient Insights, Investigator Insights, Forecasting, Competitive Intelligence, Data Analytics, Statistics, Advanced Data Analytics, Resourcing, Information Visualization, or Data Science.
  • Demonstrated experience translating data into insights and creating compelling narratives.
  • Understanding of the advantages and limits of different analytical approaches.
  • Considerable experience applying exploratory and confirmatory data analysis techniques that inform business decisions.
  • Experience with scripting, statistical and programming languages, and analytical tools such as Python, R, SQL, Matlab, SAS, Google Analytics, or Adobe Analytics is preferred.
  • Ability to examine data or content autonomously or semi-autonomously.
  • Demonstrated use of sophisticated techniques, tools, and languages, typically beyond those of traditional data analysis, to discover deeper insights, make predictions, or generate recommendations.
  • Experience acting as a strategic thought partner to teams and an entrepreneurial mindset to transform how data and analytics enable decisions and hasten medicine delivery.
  • Track record of working effectively in a matrix environment with international team members from scientific, business, and operational backgrounds, using influence without authority.
  • Expertise in standard analysis and presentation software, including Excel and PowerPoint.
  • Ability to merge data sets from disparate sources and report findings in a variety of formats and mediums.
  • Experience managing outside vendors is preferred.
  • Strong sense of responsibility and comfort in an entrepreneurial environment.
  • Ability to work effectively in a fluid, cross-functional, global matrixed environment and adapt to competing priorities.
  • Strong interpersonal skills and a consultative mindset to develop partnerships.
  • Problem-solving ability, including breaking complex problems into distinct parts, managing uncertainty, and understanding and anticipating interdependencies.
  • Ability to connect insights by asking thought-provoking questions.
  • Ability to present insights objectively and guide decision-making using sound analytics and storytelling.
  • Motivation to continuously improve performance and achieve objectives.
  • Ability to manage through change.
  • Commitment to elevating the role of data analytics in decision-making and building data-literate communities.
  • Persuasive written and verbal communication skills to communicate complex ideas.
  • Strong attention to detail.

Responsibilities

  • Work with Clinical Operations Disease Area Communities, Clinical Operations Portfolio Enabling Communities, Franchise Leads, Study Management and Country Leaders, Study Management Teams, Late Stage Portfolio Committee stakeholders, and Lifecycle Teams to understand business needs, priorities, and immediate scope of work.
  • Deliver integrated insights and analytics, trade-off analyses, and risk assessments to optimize patient recruitment strategies, country footprint, and clinical site selection for ongoing and planned clinical trials.
  • Partner with stakeholders to assess the health of the clinical-trial portfolio and identify opportunities to accelerate study delivery 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.
  • Create and manage tools with up-to-date industry information to build accurate short- and long-term forecasts.
  • Work with team members to gather insights from primary and secondary data and continuously improve forecasting methods and accuracy.
  • Communicate how trial design elements, country and site selection, competitor activities, and new engagement tactics affect clinical-trial recruitment and retention forecasts.
  • Provide the team with technical and analytical expertise through secondary data analytics.
  • Apply analytical and statistical methods using multiple data sources and technical tools and languages to answer business questions.
  • Monitor and assess the effectiveness of enrollment and engagement efforts, projects, and practices, and identify opportunities to optimize investment value.
  • Support the identification of appropriate sites and countries for trial placement.
  • Serve as a subject matter expert for applicable advanced analytical methodologies, programs, and projects.
  • Collaborate with cross-functional teams to develop solutions, gain alignment, deliver business insights, and engage stakeholders to enable better decision-making.
  • Share perspectives and insights to elevate team thinking, develop a balanced and holistic point of view, and communicate trade-off considerations.
  • Link individual responsibilities with broader organizational goals and focus on outcomes with the greatest business value.
  • Demonstrate self-accountability and integrity.
  • Engage stakeholders to understand and diagnose business problems and recommend appropriate courses of action.
  • Identify continuous-improvement opportunities and engage managers and peers for coaching, assistance, and advocacy.
  • Stay current with and adopt relevant emerging methodologies, tools, and applications.
  • Act as a thought partner and advisor to relevant teams and stakeholders, and establish opportunities for peer mentorship.
  • Participate in cross-functional communities, networks, and knowledge-sharing bodies that enable broader and more effective use of insights and analytics to support decisions.
  • Acquire, aggregate, and curate data and information.

Desired Qualifications

  • Portfolio management experience is highly desirable.
  • Experience with various forecasting methods and techniques is strongly preferred.

About the Company

Genentech

Biotech firm creating medicines via R&D

Genentech develops medicines and therapies to address unmet medical needs through extensive biotechnology research and development. Its products include biologic and small-molecule treatments prescribed by healthcare providers and sold through partnerships with suppliers and health systems. It differentiates itself with a large R&D footprint, a vast patent portfolio, and FDA Breakthrough Therapy Designations that accelerate promising therapies. Its goal is to advance medical science and deliver high-quality, effective therapies that improve patient health while supporting the broader medical community.

Company size
10,001+
Company stage
IPO
Headquarters
San Francisco, CA
Founded
1976

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