Consultant Chemometrician - Spectral Intelligence (SpecAI) & Bacterial ID

HyperSpectral
HyperSpectral

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Cambridge, MA, USA

Posted 6+ months ago
Ready to bring your chemometric expertise to the frontier of bacterial diagnostics?
We are seeking an experienced chemometrician, ideally based in the Greater Boston/Cambridge area, who can engage ~20-40 hours per month (hours vary with project cadence). You will partner closely with our microbiologists, data scientists, and hardware engineers—in-person at The Engine — to design, refine, and validate chemometric models that underpin bacterial ID within our SpecAI stack.
This is an independent contractor role.

Key Outcomes and Responsibilities

  • Bacterial ID Model Architecture:
  • Design and execute supervised and unsupervised chemometric pipelines (e.g., PLS‑DA, etc.) for rapid discrimination of bacterial species and strains from hyperspectral data.
  • Contributetosample‑prep and data‑acquisition SOPs that maximize spectral information content and reduce confounders (media, growth phase, mixed cultures).
  • SpecAI Integration:
  • Package chemometric algorithms for cloud‑native deployment inside SpecAI
  • MedTech / Regulatory Readiness
  • Help define analytical‑performance studies (LoD, specificity, repeatability) aligned with FDA guidelines for IVD instruments.
  • Produce clear technical documentation to support design‑history files and 510(k) / de novo pathways.
  • Cross‑Functional Collaboration:
  • Work on site at The Engine most weeks to white‑board with optical engineers, run lab experiments, and coach junior data scientists in chemometric best practices.
  • Present findings to leadership, partners, and occasionally to investors or strategic customers.
  • Thought Leadership:
  • Author or co‑author conference papers and poster sessions (e.g., SciX, FACSS, Pittcon) to cement HyperSpectral’s leadership in spectral AI for microbiology.

Must‑Have Qualifications

  • Ph.D. or Master’s in Chemometrics, Analytical Chemistry, Applied Statistics, Bioengineering, or related field.
  • 5+ years hands‑on building multivariate models for spectroscopic data (VNIR/MIR, Raman, FTIR, hyperspectral imaging).
  • Demonstrated success in classifying or quantifying bacterial or microbial signatures (medical diagnostics, food safety, or environmental monitoring).
  • Fluency in Python scientific stack (numpy, scikit‑learn, tensorflow/pyTorch), plus one of MATLAB or R.
  • Comfortable designing experiments and analyzing large data sets in collaboration with wet‑lab microbiologists.
  • Able to be physically present at The Engine (Central Square, Cambridge) at least one day most weeks; additional remote availability on short notice.
  • Self‑starter who thrives in fast‑moving, sometimes ambiguous start‑up environments and communicates crisply with cross‑disciplinary teams.

Nice‑to‑Have Qualifications

  • Experience preparing data packages for FDA, CE‑IVDR, or ISO 13485 submissions.
  • Familiarity with embedded ML optimization (TensorRT, ONNX, Edge TPUs).
  • Publication record or patents in spectral classification, chemometrics, or AI‑driven diagnostics.
  • Prior work with fluorescence or Raman‑based pathogen detection.

Engagement Logistics

  • Commitment: ~20 – 40hours/month, spread flexibly; peaks aligned with lab campaigns and model‑release sprints.
  • Location: Hybrid—remote plus regular on‑site at The Engine, Cambridge MA.
  • Compensation: Hourly consulting rate commensurate with expertise; eligibility for future company‑wide incentive plan.
  • Start: September 2025 or earlier.
Send your CV, a brief project portfolio, and preferred availability to careers@hyperspectral.ai with the subject line “Consultant Chemometrician – Cambridge”.
HyperSpectral Corp is an equal‑opportunity employer and contractor engager. We celebrate diversity and are committed to creating an inclusive environment for all employees and consultants.

This job is no longer accepting applications

See open jobs at HyperSpectral.See open jobs similar to "Consultant Chemometrician - Spectral Intelligence (SpecAI) & Bacterial ID" RRE.
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