Roche · 23 hours ago
Senior Data Scientist
South San Francisco
Full-time
Onsite
Senior Level
$185K/yr - $344K/yr
5+ years expRoche is dedicated to solving complex healthcare challenges and improving patient outcomes. The Senior Data Scientist in Data, Analytics, and AI develops and industrializes enterprise applications leveraging AI and machine learning to extract value from data across Commercial and Medical domains.
BiotechnologyHealth CareHealth DiagnosticsOncologyPharmaceuticalPrecision Medicine
Responsibilities
Drive the development, deployment and industrialization of enterprise applications using Predictive AI/Generative AI/Agentic AI 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 for customers
Help stakeholders define clear, impactful business priorities, and where possible, use their own expertise or existing analysis/research to influence and guide
Act as subject matter expert for applicable Data Science and other advanced analytical methodologies, programs, and projects. 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
Take an enterprise mindset, linking individual responsibilities with broader organization; focus on outcomes that provide most business value
Apply data science and other advanced analytical methodologies,using multiple data sources and tools
Collaborate with data science product owners/managers, data leads, ML Engineers, MLOps, and Informatics (IX) team to develop efficient machine learning-based applications, gain alignment, and deliver impactful business insights
Communicate findings effectively to both technical and non-technical audiences
Qualification
Required
Bachelor's degree in Statistics, Mathematics, Computer Science, or a related quantitative field
5 years of experience in data science or related roles
Proficiency in programming languages such as Python, R
Knowledge of SQL for database management
Understanding of statistical methods and machine learning algorithms
Excellent verbal and written communication skills, with the ability to present complex data analyses to non-technical stakeholders
Strong critical thinking and problem-solving abilities, with a detail-oriented approach to data analysis
Preferred
Experience working with large and complex data sets in collaboration with business and analytics teams
Experience with deep learning frameworks (e.g., TensorFlow, PyTorch)
Contributions to open source projects or publications in data science
Experience in healthcare, pharmaceutical, or highly regulated industries
Relevant certifications in data science, machine learning, or AI technologies (e.g., Certified Analytics Professional, AWS or similar certifications)
LLM & Gen AI Expertise: At least 2 years of experience implementing LLMs (e.g., GPT, BERT, Claude, etc.) and Generative AI solutions in production environments, specifically for enterprise-level data processing, information extraction, automation, and decision-making, with measurable business outcomes
Machine Learning & Deep Learning: Strong expertise in Machine Learning and Deep Learning techniques, with a specific focus on NLP-related architectures such as Transformers for text classification, sequence-to-sequence tasks, summarization, and question answering
Demonstrated working knowledge of recent advancements in LLMs, Agentic Workflow Design Patterns, and open-source frameworks like LangChain, LlamaIndex, LangGraph etc
In-depth knowledge of Prompt Engineering and Chain-of-Thought Prompting strategies for optimizing LLM-based solutions in production
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.)
Experience with deploying LLMs via third-party API service providers like Open AI, Anthropic, AWS Bedrock etc
Proficiency using ML in a variety of contexts such as insight generation, ROI calculation, text classification, clustering etc
Experience with data visualization tools such as tableau, and/or Qlik, and/or data studio etc
Experience translating research or analysis to communicate (in presentations and in writing) concise and compelling business stories that influence decisions and strategy
Benefits
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.
Company
Roche
Roche is a pharmaceutical and diagnostics company that offers medicines and diagnostic tests for various medical conditions and diseases.
10001+ employees
H1B Sponsorship
Roche has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (12)
2024 (9)
2023 (6)
2022 (2)
2021 (2)
Funding
Current Stage
Public CompanyTotal Funding
$7.79BKey Investors
SoftBankSCALE AINovartis
2021-08-04Post Ipo Equity· $5B
2020-12-07IPO
2020-05-06Post Ipo Equity· $0.5M
Leadership Team
Alan Hippe
Member of the Executive Board - Group CFO
Christine Bakan
Global Head and VP of Software and Bioinformatics, Next Generation Sequencing
Recent News
Labiotech UG
2026-01-17
2026-01-16
Company data provided by crunchbase