Scientist II, New Approach Methodologies
Millipore Corporation

Work Location: Burlington, Massachusetts
Shift: No
Department: LS-DS-BRM Biology R&D Innovation, Strategy, Portfolio Management
Recruiter: Leah S Westley

This information is for internals only. Please do not share outside of the organization.

Your Role:

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.

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.

Who You Are:

Minimum Qualifications:

• 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

Preferred Qualifications:

• 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

Pay Range for this position: $83,000 - $149,200

The offer range represents the anticipated low and high end of the base pay compensation for this position. The actual compensation offered will be determined by factors such as location, level of experience, education, skills, and other job-related factors. Position may be eligible for sales or performance-based bonuses. Benefits offered by the Company include health insurance, paid time off (PTO), retirement contributions, and other perquisites. For more information click here.

The Company is an Equal Employment Opportunity employer. No employee or applicant for employment will be discriminated against on the basis of race, color, religion, age, sex, sexual orientation, national origin, ancestry, disability, military or veteran status, genetic information, gender identity, transgender status, marital status, or any other classification protected by applicable federal, state, or local law. This policy of Equal Employment Opportunity applies to all policies and programs relating to recruitment and hiring, promotion, compensation, benefits, discipline, termination, and all other terms and conditions of employment. Any applicant or employee who believes they have been discriminated against by the Company or anyone acting on behalf of the Company must report any concerns to their Human Resources Business Partner, Legal, or Compliance immediately. The Company will not retaliate against any individual because they made a good faith report of discrimination.

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