Consultant Chemometrician – Spectral Intelligence (SpecAI) & Bacterial ID
Cambridge, MA
Technology Team /
Consultant, Part-Time, On-Call /
Hybrid
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.
