Senior Data Scientist II Precision Medicine, Allergan & Omics
Company Description
About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us atwww.abbvie.com. Follow @abbvie onLinkedIn,Facebook,Instagram,XandYouTube.
Job Description
TheGlobal Research, Informatics & Platform Solutions teamwithin the Information Research (IR) Divisionworks with internal clients to providedata management and decision support tools tooptimizethe efficiency and efficacy of research and developmentat AbbVie.As a member of the ABA Data Science team, theSeniorData Scientist II will support projects in Precision Medicine,OncologyEarly 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 roleis responsible foridentifying,developing& optimizingnew methods,algorithmsand technologies togain insights and improve productivity in multiple business areas.This is a cross-functional role, working withdiscovery scientists, technology stakeholdersin Information Research andBusiness Platformspartnersto 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 optimizationare encouraged to apply. KeyResponsibilities Build Conceive, design, and implement technology solutions that integrate, visualize, and analyze complex multi-platform data, including genomics, biomarkers,&clinical data.
Technical Proficiency-Demonstratehighproficiencyin technologies for data storage, transfer, integration, visualization, and advanced analytics
Qualifications
Required: - Bachelor's Degree with 7 years experience; Master's Degree with 6 years experience; PhD with 2 years experience
- Working knowledge ofdrugdiscoveryand development process
- Dedicated team player who caninterface withstakeholders from a variety of internal IT disciplines (DBAs, architects, developers, etc.) and external customers (discoveryscientists,therapeutic area scientists, pathologists, etc.)
- Strong programmingproficiencyin Python (andpossibly othermodern languages) with a focus on software engineering best practices, modular code, and robust deployment pipelines and strongfamiliarity 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 approachwho wants to harness the power ofclaude
Preferred: - Background in life sciences,biology, or equivalent,anddemonstratedtechnicalproficiencyinthepharmaceutical industry
- Experienceworking with data from:clinical trials, Biomarkers,andomics data
- Familiaritywith frameworks for agent-based modeling or multi-agent systems (e.g., OpenAI GPTs,LangChain,AutoGPT, or similar agent frameworks)
- Ability to architect andoptimizeagent 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
Additional Information
Applicable only to applicants applying to a position in any location with pay disclosure requirements under state orlocal law: The compensation range described below is the range of possible base pay compensation that the Companybelieves ingood faith it will pay for this role at the timeof this posting based on the job grade for this position.Individualcompensation paid within this range will depend on many factors including geographic location, andwemayultimatelypaymore or less than the posted range. This range may bemodifiedin thefuture. We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick),medical/dental/visioninsurance and 401(k) to eligibleemployees. This job is eligible toparticipatein our long-term incentiveprograms.
Note: No amount of payis considered to bewages or compensation until such amount is earned, vested, anddeterminable.The amount and availability of any bonus,commission,incentive, benefits, or any other form ofcompensation and benefitsthat are allocable to a particular employeeremainsin the Company's sole andabsolutediscretion unless and until paid andmay bemodifiedat the Companys sole and absolute discretion, consistent withapplicable law. AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. US & Puerto Rico only - to learn more, visithttps://www.abbvie.com/join-us/equal-employment-opportunity-employer.html US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more: https://www.abbvie.com/join-us/reasonable-accommodations.html
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