
Associate Scientist II - Data Engineering, Biotherapeutics and Genetic Medicine
Role summary
AbbVie's Biotherapeutics and Genetic Medicine division is seeking a data engineering scientist to enhance lab data capture and visualization for biologics discovery. This role involves designing and implementing digital workflows, testing software solutions, and proposing improvements to operational efficiency. The scientist will pilot new tools, including AI, and create standard analyses and visualizations. Responsibilities include representing the division to informatics and vendors, understanding wet-lab workflows, and communicating progress and roadblocks. The ideal candidate will have a BS/MS in a related scientific discipline with 3+ years of experience, strong molecular biology knowledge, and proficiency in data engineering tools like SQL, Python, R, and visualization platforms such as Power BI or Tableau.
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
Biotherapeutics and Genetic Medicine (BGM), a part of Discovery Research within AbbVies R&D, is a global organization dedicated to the discovery and optimization of innovative drug candidate molecules for biotherapeutic modalities (monoclonal antibodies, multispecifics, proteins, conjugates, etc.) and genetic medicines (AAV, LNPs, siRNA, etc.) across all therapeutic areas.
We are seeking a highly motivated and forward-thinking scientist with demonstrated expertise in data engineering to develop and optimize automated lab data capture workflows, as well as create dynamic visualization dashboards supporting biologics discovery.
Responsibilities
- Collaboratively design digital workflows or tools to streamline biologics discovery and evaluate improvements in operational efficiency
- Test software solutions and identify opportunities for iterative improvements
- Proactively identify scientist needs that further our digital transformation strategy and propose solutions to meet them
- Pilot new software and AI tools to evaluate utility for BGM
- Implement standard analyses and visualizations that balance customization and increased efficiency
- Represent BGM to Informatics and external software vendor providers as a technical expert.
- Collaborate across groups with different priorities
- Understand and communicate nuance of wet-lab workflows to enable integrated, harmonized data capture.
- Proactively communicate roadblocks and identify potential paths forward
- Communicate impact, including workflow efficiency gains at internal and external forums
Qualifications
- BS or MS degree in a related scientific discipline or bioinformatics, with typically 3+ (BS) or 0+ (MS) years of experience.
- Strong foundational knowledge of molecular biology, protein biochemistry, and genetics and hands-on laboratory experience in this area.
- Hands-on experience with commonly used R&D informatics platforms (e.g., SnapGene, Geneious, Dotmatics, Genedata Biologics, Pipebio, Benchling)
- Proficiency in Microsoft Excel, SQL, and Python, or R
- Demonstrated expertise in retrieving, preprocessing, and managing large datasets from databases
- Proven ability to develop interactive data visualizations and dashboards (experience with Power BI, Tableau, D3.js, or Spotfire preferred)
- Experience with the design of multi-specific antibodies
- Experience working cross-functionally to ensure that workflows serve the needs of lab scientist
- Experience with the integration and automation of laboratory instrumentation for data acquisition
Preferred
- Practical experience utilizing relevant programming libraries and frameworks for custom application development (such as Pandas, NumPy, scikit-learn, Matplotlib, Seaborn, Streamlit)
- Familiarity with the antibody or genetic medicine R&D and drug discovery process
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 timeofthis posting based on the job grade for this position.Individualcompensation paid within this range will depend on many factors including geographic location,andwemay ultimatelypay more or less than the posted range. This range may be modified in 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 to participate in our short-term incentiveprograms.
Note: No amount of payis considered to bewages or compensation until such amount is earned, vested, anddeterminable.The amount and availability of anybonus,commission, incentive, benefits, or any other form ofcompensation and benefitsthat are allocable to a particular employee remains in the Company's soleandabsolutediscretion unless and until paid andmay be modified at 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.
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