Scientist II, New Approach Methodologies

Merck•Burlington, MA

10d•$83,000 - $149,200

About The Position

Work Your Magic with us! Start your next chapter and join MilliporeSigma. Ready to explore, break barriers, and discover more? We know you’ve got big plans – so do we! Our colleagues across the globe love innovating with science and technology to enrich people’s lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. That's why we are always looking for curious minds that see themselves imagining the unimaginable with us. This role does not offer sponsorship for work authorization. External applicants must be eligible to work in the US. Your Role: MilliporeSigma in Burlington, MA is hiring. As a Scientist II, you will be a key driver in evaluation, design, development, and implementation of innovative New Approach Methodologies (NAMs) in biomedical research. This role involves utilizing these NAM methods and connecting them to ‘Omics areas such as genomics, transcriptomics, proteomics, and metabolomics relevant for basic research and drug discovery. You will leverage your expertise to accelerate the translation of human-relevant data into actionable insights, directly driving the commercialization of these tools to the life science and drug discovery market.

Requirements

PhD in Biology, Biochemistry, Molecular Biology, Bioengineering Pharmacology, Toxicology, Environmental Science or other Life Science field
4+ years of experience in biotech/pharma or advanced academic research labs, developing and implementing NAMs and multi‑omics workflows (RNA‑seq, LC‑MS/MS, metabolomics) to generate translational, product‑ready data

Nice To Haves

Evaluated and benchmarked NAMs and platforms to assess capability, cost, throughput and fit to customer needs; produced vendor comparisons and go/no‑go recommendations
Designed studies integrating ≥2 omics layers (e.g., RNA‑seq + proteomics), performed QC, differential analysis and pathway interpretation to generate actionable biological insights
Built versioned, containerized pipelines (Docker/Singularity + Nextflow/Snakemake) using R/Python and delivered automated QC reports and reproducible processed datasets
Operated lab automation (Opentrons/Hamilton), LC‑MS/MS, high‑content imaging and multicolor flow cytometry; implemented scalable workflows and managed instrument QC
Led ambiguous pilots or discovery projects to defined milestones, facilitated stakeholder alignment workshops, produced phased project plans or decision‑gates, and delivered interim prototypes or data packages that informed next steps
Hands‑on with 3D cell culture, organoids, organ‑on‑chip or complex co‑cultures; SOP creation and troubleshooting
Practical experience with RNA‑seq and LC‑MS/MS workflows (proteomics or metabolomics)
Cell‑based assays (luciferase, ELISA, HTRF/AlphaLISA) and experience with HCI or multicolor flow cytometry
Familiarity with using and coding lab automation protocols (e.g., Opentrons) and use common lab equipment
Proficient in R/Python, basic ML, and building reproducible analysis pipelines (Docker/Nextflow or equivalent)
Use of metadata, version control (Git), and basic LIMS/ELN or cloud workflows

Responsibilities

Design, develop and optimize New Approach Methodologies (NAMs) including in vitro (2D/3D/organoids), in silico and in chemico approaches
Integrate NAM platforms with multi‑omics (genomics, transcriptomics, proteomics, metabolomics) to generate human‑relevant datasets
Build, validate and maintain end‑to‑end pipelines for omics data processing, QC, analysis and visualization
Perform multi‑omics integration, pathway and network analyses to produce actionable biological insights
Benchmark and qualify NAMs versus existing standards; define acceptance criteria and SOPs for assay deployment
Develop and apply predictive models (statistical/ML) to translate NAM + omics outputs into phenotypic or safety predictions
Support commercialization: prepare validation packages, customer materials, and participate in pilots and customer engagements
Ensure rigorous data management and reproducibility (metadata, versioned pipelines, documentation)
Communicate results through technical reports, presentations and publications; represent the team externally when needed
Monitor emerging NAM and omics technologies and incorporate relevant advances into workflows and product.