Communicate - ability to communicate with scientific individuals from Discovery teams to understand existing workflows and data flow & gather requirements
Collaborative Design - understand the client's needs, propose solutions, and develop appropriate solutions
Build - Conceive, design, and implement technology solutions that integrate, visualize, and analyze complex multi-platform data, including genomics, biomarkers, & clinical data.
Integrate - understand the value in capturing data properly, and integrating data sets
Support - provide solutions to performance-related issues and work with downstream systems to support data driven demands
Technical Proficiency - Demonstrate high proficiency in technologies for data storage, transfer, integration, visualization, and advanced analytics
Adaptability - ability to work on multiple, sometimes very different, projects at one time
Breadth - as a talented and motivated Senior Data Scientist II, contribute independently to a wide variety of projects related to enhancing drug discovery & development
Required:
Bachelor's Degree with 7 years' experience; Master's Degree with 6 years' experience; PhD with 2 years' experience
Working knowledge of drug discovery and development process
Dedicated team player who can interface with stakeholders from a variety of internal IT disciplines (DBAs, architects, developers, etc.) and external customers (discovery scientists, therapeutic area scientists, pathologists, etc.)
Strong programming proficiency in Python (and possibly other modern languages) with a focus on software engineering best practices, modular code, and robust deployment pipelines and strong familiarity with data visualization and pipelining tools such as Spotfire, or equivalent
Experience with ML Ops, continuous integration/continuous deployment (CI/CD), and working with production environments (Docker, cloud platforms like AWS/Cloudera)
Ability to work independently, multitask, and work within timelines
Excellent communication skills for cross-functional collaboration, including documenting and presenting technical solutions to non-technical stakeholders: outstanding interpersonal, verbal, and written communication skills
A self-motivated learner and thinker with a hands-on approach who wants to harness the power of claude
Preferred:
Background in life sciences, biology, or equivalent, and demonstrated technical proficiency in the pharmaceutical industry
Experience working with data from: clinical trials, Biomarkers, and omics data
Familiarity with frameworks for agent-based modeling or multi-agent systems (e.g., OpenAI GPTs, LangChain, AutoGPT, or similar agent frameworks)
Ability to architect and optimize agent workflows and design agentic processes to solve business or scientific challenges
Familiarity with modern data science and AI techniques, especially as they pertain to autonomous or semi-autonomous systems
Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:
We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.
This job is eligible to participate in our long-term incentive programs.
Note: No amount of pay is considered
Benefits
Dental insuranceVision insurance401(k)Paid time off
Additional Information
The Global Research, Informatics & Platform Solutions team within the Information Research (IR) Division works with internal clients to provide data management and decision support tools to optimize the efficiency and efficacy of research and development at AbbVie. As a member of the ABA Data Science team, the Senior Data Scientist II will support projects in Precision Medicine, Oncology Early Discovery, Allergan, and Omics research. This role conceives, designs, and implements innovative solutions for scientific and business challenges through the integration, visualization, and analysis of datasets. This role is responsible for identifying, developing & optimizing new methods, algorithms and technologies to gain insights and improve productivity in multiple business areas. This is a cross-functional role, working with discovery scientists, technology stakeholders in Information Research and Business Platforms partners to optimize data capture, analysis, and decision-making. We are looking for innovators who are passionate about the next generation of intelligent automation and agentic AI. Those who find agent development, agentic automation, and AI-driven process optimization are encouraged to apply.
Abbvie · South San Francisco, CA