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# Scientist, Biomarker Discovery Automation & Engineering

- **Company:** CareerCircle
- **Location:** Cambridge, MA, United States
- **Experience:** Expert
- **Salary:** $131,400.0 - $206,800.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Systems Engineering, Computerized Maintenance Management Systems, Cyber Security, Computational Biology, Directed Acyclic Graph (Directed Graphs), Data Integrity, Data Visualization, Linux, R (Programming Language), Human-Computer Interaction, Python (Programming Language), MATLAB, Machine Learning, Automation of Marketing, Object-Oriented Software Development, Parsing, SAP (Applications), System Testing, Workflow Management Systems, Iq/oq/pq, Comet Programming, High Performance Computing, Information Technology, Data Generation
- **Published:** August 9, 2026
- **Apply:** https://www.careercircle.com/jobs/all/all/usa/ma/cambridge/d8a764c4-0570-4b91-81eb-e7a269066973

## About the Role

Linux
Patents
Biology
Parsing
Oncology
Research
Genomics
Scripting
Automation
Innovation
Biomarkers
Immunology
Compassion
Scalability
Informatics
Data Science
Cell Biology
Neuroscience
Presentations
Drug Discovery
Self-Motivation
Problem Solving
Quality Control
Instrumentation
Drug Development
Machine Learning
Business Metrics
Telephone Skills
Critical Thinking, * Ph.D. in engineering, molecular biology, cell biology, genomics, computational biology or a related discipline with 0-3+ years of post-graduate experience, or Masters with 3-5+ years of post-graduate experience., * 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.

Preferred Skills and Experience

 * 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, Automation, Data Science, Data Visualization, Genomics, High Performance Computing (HPC), Machine Learning (ML), Molecular Biology, Omics Technologies, Python (Programming Language), Single Cell Analysis, Technology Transfer, Translational Research, Equities
Vaccines
Operations
Management
Automation
Mentorship
Scalability
Reliability
Market Data
Calibration
Communication
Risk Analysis
Commissioning
Change Control
Cyber Security
Prioritization
Data Integrity
Design Reviews
Risk Reduction
Pharmaceuticals
Problem Solving
Decision Making
Instrumentation
Process Control
Scope Management
SAP Applications
System Lifecycle
Change Management
Biopharmaceuticals
Industry Standards
Automation Systems
Root Cause Analysis
Process Improvement
Systems Engineering
Technology Transfer
Automation Controls
Lifecycle Management
Process Optimization
Technical Leadership
Deviation Management
Industrial Engineering
Manufacturing Processes
Biochemical Engineering
Manufacturing Operations
Human Machine Interfaces
Deviation Investigations
Automation Systems Design
Computer System Validation
Building Management System
Distributed Control Systems
Good Manufacturing Practices
Programmable Logic Controllers
Continuous Improvement Process
Troubleshooting (Problem Solving)
Qualification Protocols (IQ/OQ/PQ)
Corrective And Preventive Action (CAPA)
Computerized Maintenance Management Systems

## Description

Molecular Biology
Digital Pathology
Performance Metric
Biochemical Assays
Data Visualization
Workflow Management
Systems Engineering
Technology Transfer
Workflow Automation
Contingent Workforce
Single-Cell Analysis
Computational Biology
Operational Excellence
Translational Medicine
Translational Research
Artificial Intelligence
Technical Documentation
R (Programming Language)
Maintenance Coordination
High Performance Computing
Verbal Communication Skills
Python (Programming Language)
Continuous Improvement Process
Troubleshooting (Problem Solving)
Directed Acyclic Graph (Directed Graphs)
Concurrent Object Modeling And Architectureal Design Method, We are seeking a dedicated and highly motivated automation engineer/scientist to join the Data, AI & Genome Sciences (DAGS) group at our company's Research Laboratories in Cambridge, MA. The successful candidate will focus on the development, implementation, operation, and optimization of automated systems and associated instrumentation supporting single-cell, spatial, and molecular omics workflows, with particular impact in Immunology Biomarker Discovery. This individual will join the Spatial and Single Cell Multiomics (SSM) Team within DAGS, a creative and highly collaborative group that leverages cutting-edge automation and advanced multiomics technologies to drive Biomarker Discovery and innovation across the drug development pipeline, from pre-clinical to clinical stages. Our team applies Spatial Multiomics platforms including CosMx WTx, Xenium, COMET mIF, Digital Pathology, and MSI, as well as multi-omics single-cell approaches including REAP-seq/CITE-seq, CROP-seq/Perturb-seq,
immune profiling, and Multiome ATAC-seq. SSM collaborates closely with therapeutic areas including Oncology, Immunology, Neuroscience, and Cardiometabolic Disease, as well as partner functions across Data, AI & Genome Sciences, Data Science & Scientific Informatics, Quantitative Bioscience, and ChemBio within the Discovery, Preclinical and Translational Medicine (DPTM) organization., * 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.

 * 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.
 * Integrate instrumentation, process controls, and QC metrics into automated workflows to improve robustness, reduce variability, and enable scalable laboratory operations.
 * Monitor automated systems during workflow execution and perform system- and instrument-level troubleshooting, coordinate maintenance, and drive error recovery as needed.
 * Support technology transfer, workflow scale-up, and deployment of new automated methods into routine laboratory operations.
 * Prepare, document, and maintain automation methods, workflow parameters, SOPs, and experimental records to support reproducibility, compliance, and operational rigor.
 * Partner proactively with cross-functional teams across DAGS, Therapeutic Areas, and RaDS-IT to accelerate impact on biomarker discovery and early drug discovery efforts.
 * Clearly communicate workflow designs, protocols, performance metrics, and experimental results through presentations, technical documentation, and reports to stakeholders and senior leadership., Linux
Patents
Biology
Parsing
Oncology
Research
Genomics
Scripting
Automation
Innovation
Biomarkers
Immunology
Compassion
Scalability
Informatics
Data Science
Cell Biology
Neuroscience
Presentations
Drug Discovery
Self-Motivation
Problem Solving
Quality Control
Instrumentation
Drug Development
Machine Learning
Business Metrics
Telephone Skills
Critical Thinking
Shiny (R Package)
Molecular Biology
Digital Pathology
Performance Metric
Biochemical Assays
Data Visualization
Workflow Management
Systems Engineering
Technology Transfer
Workflow Automation
Contingent Workforce
Single-Cell Analysis
Computational Biology
Operational Excellence
Translational Medicine
Translational Research
Artificial Intelligence
Technical Documentation
R (Programming Language)
Maintenance Coordination
High Performance Computing
Verbal Communication Skills
Python (Programming Language)
Continuous Improvement Process
Troubleshooting (Problem Solving)
Directed Acyclic Graph (Directed Graphs)
Concurrent Object Modeling And Architectureal Design Method
+0
Senior Scientist, Biomarker Discovery Automation & Engineering, Multiomics
Merck & Co., Inc

Cambridge, MA*On-Site

Unix
Linux
Patents
Biology
Parsing
Oncology
Research
Genomics
Scripting
Automation
Innovation
Biomarkers
Immunology
Compassion
Scalability
Informatics
Data Science
Cell Biology
Neuroscience
Presentations
Drug Discovery
Self-Motivation
Problem Solving
Quality Control
Instrumentation
Drug Development
Machine Learning
Business Metrics
Telephone Skills
Critical Thinking
Shiny (R Package)
Molecular Biology
Digital Pathology
Performance Metric
Biochemical Assays
Data Visualization
Workflow Management
Systems Engineering
Technology Transfer
Workflow Automation
Contingent Workforce
Single-Cell Analysis
Computational Biology
Operational Excellence
Translational Medicine
Translational Research
Artificial Intelligence
Technical Documentation
R (Programming Language)
Maintenance Coordination
High Performance Computing
Verbal Communication Skills
Python (Programming Language)
Continuous Improvement Process
Troubleshooting (Problem Solving)
Directed Acyclic Graph (Directed Graphs)
Concurrent Object Modeling And Architectureal Design Method
+0
Sr Engineer, Automation
Emergent Biosolutions

Canton, MA*On-Site


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