The Position WHO WE ARE
Our Strategic Analytics & Intelligence (SAI) team isnt just deciphering data. Were here to help solve the worlds most complex healthcare challenges and improve the lives of patients.
With a mix of competitive intelligence, market research, data science, advanced analytics, access, and forecasting, SAI unlocks key insights for our internal partners that ultimately benefit healthcare providers and patients. Even if youve never worked in biotech, youll establish yourself as an expert alongside other specialists. Plus, you can gain new experiences across marketing disciplines, therapeutic areas, and commercial operations. The entire time, youll be surrounded by a diverse and inclusive team that aims to reflect the world we serve.
CDS, which is the CMG DS team within SAI, exists to help the CMG (Commercial, Medical and Government) organization achieve its vision by unlocking value from data quickly and effectively. As a center of excellence, the DS team has three primary remits: Owning Advanced Data Science Strategy and Innovation for SAI and CMG; Application of Data Science to CMG enterprise priorities; and Driving the Data Science Capability on behalf of the SAI department. The team leverages advanced data science capabilities, working across CMG to develop strategic and holistic solutions by identifying and leading innovative analytics projects & pilots to enable Genentech to deliver for our customers.
WHO YOU ARE
We are looking for a data science expert with an extensive track record in building Recommendation Systems. The ideal candidate is also someone who has significant hands-on experience developing predictive models. The CDS team is committed to delivering production level work and builds ML systems with an enterprise mindset. CDS is involved in Genentechs digital transformation to build an Integrated Customer Experience (ICX) which utilizes a large range of data sources (both structured and unstructured) as well as AI/ML algorithms to find patterns and deliver an automated experience to the end user. An excellent Principal Data Scientist in the CDS team is independent, a great communicator, innovative, and visionary.
MAJOR RESPONSIBILITIES
Manage and guide data science and data engineering elements of AI/ML projects
Drive the development, deployment and industrialization of Enterprise Recommendation Engines to generate value from structured and unstructured data for the Commercial and Medical organizations.
Develop a deep understanding of customers and market dynamics, and apply your technical skills to advance that knowledge and guide the organization, delivering products that help create an integrated customer experience and drive impact.
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 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 in relation to recommendation engines.
Collaborate within cross-functional teams to develop efficient recommendation systems, 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 most business value
Demonstrate self accountability and results ownership.
Look for opportunities for continuous improvement; engage managers and peer group 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.
PREFERRED QUALIFICATIONS
MS or PhD 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) preferred
10+ years of relevant industry work experience (transferable skill set across multiple industries is a huge plus )
Significant (5+ years) experience in the application of Recommender Systems to enterprise data, and demonstrated ability to drive tangible results
Significant experience in most of the following quantitative fields: Deep learning, Reinforcement Learning, Causal Inference, A/B Testing, Multi-armed Bandits, and Design of Experiments
Demonstrated proficiency in leveraging open source libraries and packages such as Spark, TensorFlow, Keras, PyTorch to solve Enterprise problems
Deep proficiency in modeling techniques such as content based filtering, collaborative filtering, clustering etc.
Solid foundational knowledge in Deep Learning (open source frameworks like Tensorflow, Keras and/or PyTorch) with applications focused on Recommendation Engines (such as feed forward neural networks, convolutional neural networks, or recurrent neural networks)
Experience working with large, complex data using Hadoop or Spark or any other big data platforms
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 syndicated sales, promotional & marketing data, longitudinal patient level data; experience with payer data is preferred
Proficiency using ML in a variety of contexts, particularly text classification and clustering across CMG use cases (medical, commercial and digital)
Experience with data visualization tools such as tableau, and/or qlik, and/or data studio etc
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.
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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.
Genentech requires all new hires to be fully vaccinated against COVID-19 as of their start date. This requirement is a condition of employment at Genentech, and it applies regardless of whether the position is located at a Genentech campus or is fully remote. If you are unable to receive the vaccine due to a disability or serious medical condition, or because it is prohibited as a result of your sincerely held religious beliefs, you will have an opportunity to request a reasonable accommodation.
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