• Job Description

  Req#: 202310-123205

  Who We Are

  Genentech, a member of the Roche group and founder of the biotechnology industry, is dedicated to pursuing groundbreaking science to discover and develop medicines for people with serious and life-threatening diseases. To solve the world's most complex health challenges, we ask bigger questions that challenge our industry and the boundaries of science to transform society. Our transformational discoveries include the first targeted antibody for cancer and the first medicine for primary progressive multiple sclerosis.

  The COVID-19 pandemic has forever altered the expectations for healthcare providers, patients, and their families on how data and technology can be used to enhance the customer experience in ways not previously possible. Genentech seeks to lead the industry in this new era of omnichannel pharma and integrated customer experience.

  The Learning & Skill Development (LSD) organization plays a key role in installing a digital culture and mindset across the Commercial and Medical Group (CMG) as well as providing every CMG customer - be it employee, manager, healthcare provider, and patient - with the information and skills that they need next, when they need it, where they need it. LSD is in the process of transforming CMG into a continuous then contribution learning culture by pioneering advances in skills management, digital learning, experiential learning, and workflow learning.

  LSD includes a team of learning business partners who have deep business acumen and are well versed in the trends and data coming from sales, marketing, and medical. They work in close collaboration with a group of Learning Design Architects who are responsible for perennial focus areas such as medical, therapeutic area certification, leadership development as well as business transformation areas which currently include omnichannel, contracting, digital, and health equity across all CMG business units. Both teams are supported by a team of instructional designers and multimedia partners who build best-in-class learning products. LSD scales these learning products through facilitators who upskill business experts and leaders in executive presence, learning technologists who use cutting edge applications and systems to embed learning as close to the work as possible, and an analytics function that maps CMG's skill domains and employee skill gain to business impact metrics.

  
  

  Role Overview

  The Data Scientist role has significant hands-on experience developing predictive models and a strong track record in designing experiments, driving organizational measurement strategies, and building Machine Learning (ML) and Artificial Intelligence (AI) driven applications and products. The role will be responsible for and own the delivery of delivering predictive models to anticipate future skills needed across the organization to deliver on business outcomes, and to develop automated scalable approaches to connect the learning dataset with business and people data to demonstrate the connection to individual and organizational performance. This will include utilizing a large range of data sources (both structured and unstructured) as well as AI/ML algorithms to find patterns and automate the process of forecasting future skills needs. The Data Scientist candidate has a strong bias for action, is able to operate independently, and is a great communicator, innovator, and visionary.

  Key Responsibilities:

  • Design measurement strategies for internal and external stakeholders on key enablement metrics while developing and applying insights to continually improve the business

  • Manage and guide data science and data engineering elements of AI/ML projects

  • Help stakeholders define clear, impactful business priorities, and where possible, use their own expertise or existing analysis/research to influence and guide.

  • Apply ML and applied statistics approaches to answer a variety of complex business, learning, and talent-related questions using multiple data sources and technical tools.

  • Act as subject matter expert for applicable data science and other advanced analytical methodologies, programs, and projects, particularly in AI/ML.

  • Collaborate within cross-functional teams to develop efficient machine learning based applications, 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 mindset, linking individual responsibilities with broader organization; focus on outcomes that provide the most business value.

  • Demonstrate a bias for execution, self accountability, and results ownership.

  • Look for opportunities for continuous improvement; engage managers and peer groups regularly for coaching, assistance, and advocacy.

  • Act as a thought partner and advisor to all relevant teams and stakeholders; look for and establish opportunities for peer mentorship.

  • Lead, act and live our Operating Principles in all aspect of work

  • Comply with all laws, regulations, policies and procedures that govern the conduct of Genentech activities

  
  

  Qualifications/Experience:

  • Bachelor's degree in relevant discipline: Data Science; Computer Science; Applied Mathematics, Statistics, Economics, Engineering or related field, with a focus on Artificial Intelligence (AI) or Machine Learning (ML)

  • 7+ years of relevant industry work experience

  • 3+ years experience in the application of NLP and Text Analytics to enterprise data, with demonstrated ability to drive tangible results

  • Demonstrated proficiency in most of the following quantitative fields: NLP, Deep learning, Applied Statistics, Causal Inference, A/B Testing, and Design of Experiments

  • Demonstrated proficiency in large complex datasets, statistical software, deep learning, NLP models, libraries and packages

  • Proficiency with industry-standard programming languages such as R or Python

  • Experience with other data science and cloud-computing tools and platforms (AWS, GCP, etc.)

  • Strong knowledge of secondary data sources including learning data in learning record stores, business data stored in Oasis, and talent related data in HR systems is preferred

  • Proficiency using ML in a variety of contexts such as revenue attribution and optimization, text classification, clustering etc.

  • Experience with data visualization tools such as Tableau or Qlik

  • Experience acting as a strategic thought partner to teams; demonstrated ability to solve problems and think outside the box.

  • Proven track record of leadership, time-management, project management, and teamwork; Strong attention to detail

  • Experience translating research or analysis to communicate (in presentations and in writing) concise and compelling business stories that influence decisions and strategy

  Our Operating Principles

  • Put Patients First: I always act as if patients I know are in the room and do what's best for them.

  • Follow the science: I seek answers through experiments, data and debate, and act on facts.

  • Act as one team: I care, collaborate and commit without boundaries, and trust others to do their part.

  • Embrace differences: I seek diverse perspectives, invite opposing views, and challenge myself and others.

  • Accelerate learning: I push to learn new things even if difficult, and openly share my successes and failures.

  • Simplify radically: I eliminate complexity, reuse with pride, and accomplish more with less.

  • Make impact now: I take accountability to do what's right, deliver value fast, and don't wait for certainty.

  • Think long term: I choose actions today that benefit future generations

  The expected salary range for this position based on the primary location of South San Francisco, CA is $159,700.00 - $296,500. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.

  Benefits

  Relocation benefits are not available for this job posting

  Genentech is an equal opportunity employer, and we embrace the increasingly diverse world around us. Genentech prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin or ancestry, age, disability, marital status and veteran status.

• About the company

  Genentech, Inc., is an American biotechnology corporation which became a subsidiary of Roche in 2009.

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