Imaging Data Scientist (Locals Only) at Lenmar Consulting Inc.

Johnston, Iowa, United States -

Full Time

Start Date

Immediate

Expiry Date

17 Mar, 26

Salary

0.0

Posted On

17 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Computer Vision, Python, PyTorch, TensorFlow, Microscopy Image Processing, Multi-page TIFFs, Z-stacks, Image Quality Challenges, Hyperspectral Imaging, Multispectral Imaging, Model Performance Reporting, Collaboration, Experiment Tracking, Reproducible Data, Clear Documentation, Vision Transformers

Industry

Information Technology & Services

Description

Company Description Pharma Job Description Work at the intersection of plant cell biology and applied AI to build, productionize, and maintain computer vision pipelines that accelerate Doubled Haploid (DH) breeding in Biotechnology. The contractor will contribute to end‑to‑end imaging and analytics—from microscopy microspore detection to macroscopic structure assessment and plantlet characterization—supporting decisions that reduce cycle time and cost in DH programs. Solutions will be developed primarily in Python, integrated with our repositories and workflow tooling, and aligned with Biotech strategy initiatives Must Have: 4–6 years hands‑on in computer vision with Python (PyTorch/TensorFlow), including detection/segmentation/classification for scientific or industrial imaging. Proven ability to productionize models: Git/GitLab, code reviews, CICD basics, experiment tracking (MLFlow or equivalent), reproducible data/experiments, and clear documentation. Experience with microscopy image processing, multi‑page TIFFs, z‑stacks, autoscale/normalization, and image quality challenges. Familiarity with hyperspectral or multispectral imaging pipelines (preprocessing, dimensionality reduction, modeling) applied to plant or biological materials. Track record of measurable model performance reporting and communicating results via posters/presentations for technical audiences. Nice‑to‑Have Vision Transformers (ViT) and modern YOLO workflows for microscopy/macroscopic tasks; comfort with infer tooling. Experience optimizing inference (e.g., torch.compile, mixed precision) and scaling batch workflows. Domain familiarity with Biotech breeding workflows. Collaboration with discovery and strategy teams; ability to work across biology, engineering, and data science groups. Additional Information All your information will be kept confidential according to EEO guidelines.

Responsibilities

The contractor will work on building, productionizing, and maintaining computer vision pipelines to support Doubled Haploid breeding in Biotechnology. This includes end-to-end imaging and analytics from microspore detection to plantlet characterization.