RCI-ABBV-33577 Scientist (Genomics/NGS/LIMS/liquid handling/microarray platforms/automation platforms)

Onsite, North Chicago

Lenth of assignment: 6 months to start

Scientist I, Reverse Translation Genomics

Position Overview:

• The Reverse Translation Genomics Scientist sits within the Genomic Technologies (GTECH) organization of the Genomics Research Center (GRC) and is designed for a scientist capable of independently executing experimental workloads, troubleshooting complex laboratory challenges, and interpreting genomic data to support translational and discovery research.
• This scientist will support the Reverse Translation initiatives by generating high-quality genotyping data sets using microarray-based platforms.
• The successful candidate will operate with a high degree of scientific autonomy and drive experiments end-to-end while partnering closely with GRC scientists, bioinformatics collaborators, and therapeutic area stakeholders to deliver robust, decision-enabling data sets.

Key Responsibilities

Genomic Data Generation, Data Quality & Scientific Interpretation

• Independently plan, execute, troubleshoot, and deliver high-throughput genomic workflows to produce high-quality genotyping data sets that support reverse translation, biomarker, and or discovery/development programs
• Drive validated end-to-end genotyping workflows utilizing microarray platforms, from experimental setup through data handoff within expected timelines
• Independently operate, maintain, and troubleshoot microarray and liquid-handling platforms to ensure consistent data quality, robustness, and throughput
• Accountable for data quality by independently performing QC, identifying root causes of failures, and implementing corrective and/or preventive actions
• Apply scientific judgment to recommend follow-up experiments, assay adjustments, or alternative approaches
• Accurately document experimental design, execution, troubleshooting, and outcomes in accordance with laboratory and data governance standards
• Prepare clear written summaries and reports, and present data, interpretations, conclusions, and recommendations to technical, project, or senior leadership stakeholders

Operations, Compliance & Continuous Improvement

• Maintain reagent inventory and coordinate with management to ensure uninterrupted experimental execution

Basic Qualifications

• Bachelor’s degree in Genetics, Genomics, Molecular Biology, or a related field with typically 2 years of relevant experience, or
• Master’s degree in Genetics/Genomics or a related field with 2 hands-on laboratory experience
• Demonstrated ability to independently execute and troubleshoot genomic laboratory workflows
• Proven experience generating and assessing quality metrics of genomic data sets
• Strong working knowledge of genetics and genomics principles
• High attention to detail with strong data ownership mindset
• Experience operating and troubleshooting high-throughput and automated laboratory workflows
• Adhere to established SOPs and independently contribute to the development, revision, and continuous improvement of laboratory procedures
• Contribute to the evaluation, development, and validation of innovative technologies aligned with reverse translation and GTECH or organizational strategic priorities

Preferred Qualifications

• Experience generating genotyping data using microarray platforms and performing data QC
• Experience with NGS library preparation, sequencing, and primary data QC
• Experience with nucleic acid QC, sample tracking, and LIMS
• Prior experience in a high throughput industry or centralized genomics core laboratory environment

Key Competencies

• Scientific independence in execution, troubleshooting, and data interpretation
• Strong organizational, prioritization, and communication skills
• Ability to interpret data critically and translate findings into actionable insights
• Demonstrated experimental rigor and continuous improvement mindset
• Comfortable operating autonomously while collaborating effectively in matrixed teams
• Ability to thrive in a dynamic, fast-paced research environment