Associate Principal Scientist, Biomarker Discovery Automation & Engineering, Multi-omics

Merck Merck · Pharma · MA

Develops, implements, and optimizes automated systems and instrumentation for omics workflows in biomarker discovery, focusing on single-cell and spatial technologies within a healthcare/pharma research setting.

What you'd actually do

  1. Collaborate closely with experimental biologists, automation engineers, data scientists, and therapeutic area subject matter experts to develop and implement scalable automation workflows that enable high-quality, reproducible data generation in a timely manner.
  2. Develop, implement, optimize, and validate automated workflows for single-cell, spatial, and molecular omics assays, including Parse-seq, 10x Flex, CROP-seq/Perturb-seq, immune profiling, Multiome ATAC-seq, spatial workflows, Olink HT, high-throughput CRISPR screens, and complex cell-based model systems.
  3. Integrate instrumentation, process controls, and QC metrics into automated workflows to improve robustness, reduce variability, and enable scalable laboratory operations.
  4. Monitor automated systems during workflow execution and perform system- and instrument-level troubleshooting, coordinate maintenance, and drive error recovery as needed.
  5. Support technology transfer, workflow scale-up, and deployment of new automated methods into routine laboratory operations.

Skills

Required

  • Strong experience developing, implementing, and supporting automated workflows for single-cell, spatial, and/or multi-omics assays.
  • Experience with automated systems and associated instrumentation used in omics workflow execution.
  • Experience supporting technology transfer, assay scale-up, and deployment of new automated workflows into routine laboratory operations.
  • Experience driving workflow standardization, operational excellence, and continuous improvement initiatives.
  • Experience integrating instrumentation, process controls, assay monitoring, and quality control metrics into automated laboratory workflows.
  • Strong experience troubleshooting automated workflows, monitoring instrument performance, and managing error recovery during execution.
  • Strong understanding of experimental design principles, with excellent organizational and documentation skills, including preparation of SOPs, protocols, and technical summaries.
  • Demonstrated problem-solving ability, critical thinking, and analytical skills.
  • Excellent written and verbal communication skills, with the ability to train and mentor scientists with levels of experience.
  • Ability to manage multiple projects simultaneously in a fast-paced, highly collaborative, matrixed environment.
  • Experience working in Linux/Unix environments and high-performance computing (HPC) clusters.

Nice to have

  • Experience applying automation to biomarker discovery, translational research, and/or Immunology and Oncology research settings.
  • Experience with automation platforms, scripting, or workflow control tools relevant to high-throughput biology laboratories.
  • Fluency in scripting and data visualization tools such as Basic HSL, R, R Shiny, Python, and/or MATLAB.
  • Familiarity with matrixed collaboration across functional areas including therapeutic areas, data science, engineering, and IT.
  • A strong publication, patent, or technical contribution record in relevant areas