Consultant Chemometrician – Spectral Intelligence; SpecAI & Bacterial
Listed on 2026-01-12
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IT/Tech
Data Analyst, Data Science Manager
Ready to bring your chemo metric 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 chemo metric models that underpin bacterial n our SpecAI stack.
This is an independent contractor role.
Key Outcomes and Responsibilities- Bacterial Architecture:
- Design and execute supervised and unsupervised chemo metric pipelines (e.g., PLS‑DA, etc.) for rapid discrimination of bacterial species and strains from hyperspectral data.
- Contribute to sample‑prep and data‑acquisition SOPs that maximize spectral information content and reduce confounders (media, growth phase, mixed cultures).
- SpecAI Integration:
- Package chemo metric algorithms for cloud‑native deployment inside SpecAI.
- Med Tech / 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 chemo metric 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 Hyper Spectral’s leadership in spectral AI for microbiology.
- 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, tensor flow/py Torch), 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.
- Experience preparing data packages for FDA, CE‑IVDR, or ISO
13485 submissions. - Familiarity with embedded ML optimization (Tensor
RT, ONNX, EdgeTPUs). - Publication record or patents in spectral classification, chemometrics, or AI‑driven diagnostics.
- Prior work with fluorescence or Raman‑based pathogen detection.
- Commitment: ~20 – 40 hours/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 with the subject line "Consultant Chemometrician – Cambridge".
Hyper Spectral 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.
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