Alphanumeric Systems Inc.

Principal Scientist

Cambridge, MassachusettsContract
$78 - $83.50 hourly
About the Job
Alphanumeric is hiring a PRINCIPAL SCIENTIST to work in Cambridge, MA with our client of 20 years committed to improving lives through medical and pharmaceutical advancements.

Pay Range: $78.00 - $83.50/hour (W2).
W2 only. No C2C or third-party candidates will be considered.

Position Overview:
We are seeking a highly motivated Principal Scientist to lead the development of scalable, cell-based assay platforms for evaluating and ranking multi-epitope mRNA construct designs in a high-throughput environment.

This role requires deep expertise in flow cytometry and microscopy-based cellular readouts, with the ability to translate complex assay data into clear, actionable design recommendations to advance mRNA vaccine development.

Key Responsibilities:
  • Lead development of cell-based assays to evaluate and rank multi-epitope mRNA construct designs (e.g., expression/presentation proxies, antigen-specific T cell activation, breadth/competition effects).
  • Provide technical leadership in flow cytometry, including panel design, controls, acquisition, gating strategies, SOP development, troubleshooting, and data quality control.
  • Partner closely with Molecular Biology and RNA teams to design and iterate mRNA constructs based on assay outcomes.
  • Establish robust, reproducible workflows using cell lines and/or primary immune cells.
  • Enable high-throughput assay execution (96/384-well formats) with standardized controls and scalable analysis templates.
  • Mentor team members and build internal capabilities around new assay platforms.
  • Ensure data integrity, documentation, and compliance with internal standards; support assay transfer across teams and sites.
  • Stay current on advancements in RNA vaccines, immunology, and assay technologies.
  • Contribute to internal reports, publications, and scientific presentations.
  • Foster a collaborative, high-performance scientific environment.

Basic Qualifications
  • PhD in Molecular Biology, Cell Biology, Immunology, or related field with 3+ years of postdoctoral and/or industry experience (or MS with 8+ years).
  • Strong knowledge of molecular biology techniques (cloning, RNA production, characterization).
  • Deep understanding of RNA biology and mRNA vaccine design principles.
  • Extensive hands-on experience with flow cytometry (design → execution → analysis) and building reproducible assays.
  • Experience working with immune and/or engineered cell lines.
  • Practical experience with microscopy-based assays (confocal or high-content imaging).

Preferred Qualifications
  • Experience with high-throughput cellular assay development (96/384-well formats, assay miniaturization, robustness metrics).
  • Hands-on experience with automation platforms (e.g., Tecan, Hamilton) or strong collaboration with automation teams.
  • Familiarity with multiplex protein assays (e.g., cytokine panels).
  • Expertise in T cell functional assays and translating results into construct design decisions.
  • Knowledge of antigen processing and presentation pathways.
  • Exposure to immunopeptidomics.
  • Experience with data workflows for high-throughput biology (LIMS, metadata standards, reproducible pipelines).

Must-Have Skills
  • Flow cytometry assay development and analysis.
  • Cell-based assay design (immune-focused).
  • mRNA/RNA biology and construct optimization.
  • Data interpretation and decision-making for design iteration.
  • Cross-functional collaboration (biology + RNA + data teams).

What Type of Individuals Excel in This Environment:
  • Scientifically curious and driven to solve complex biological problems.
  • Thrive in fast-paced, iterative R&D environments.
  • Strong ownership mindset with ability to lead from the bench.
  • Comfortable translating data into strategy and action.
  • Collaborative and able to influence across cross-functional teams.

Nice-to-Have (Edge) Qualifications:
  • Experience in vaccine development or infectious disease research.
  • Background in biotech/pharma R&D environments.
  • Familiarity with AI/ML-supported assay analysis or design workflows.
  • Prior experience scaling assays from early research to platform level.

Additional Information:
  • Industry experience in biotech, pharmaceutical, or related life sciences strongly preferred; adjacent research environments (academic labs, translational research institutes) will be considered.