Cell Biology Image Annotation & Evaluation Specialist (Part-Time)

Expedock

Philippines

Remote

PHP 3,450,000 - 6,901,000

Part time

8 days ago
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Job summary

Expedock is seeking a Cell Biology Specialist to remotely annotate high-content fluorescence microscopy data. You will evaluate phenotypes from Cell Painting assays and help distinguish true biological signals from artifacts in collaboration with ML teams.

The role requires hands-on lab experience in Cell Biology or related fields and proficiency with image analysis tools. This contract, hourly position offers flexible scheduling and remote work from the Philippines.

Qualifications

  • Hands-on lab experience in Cell Biology or related field.
  • Experience with high-content screening and multi-channel assays.
  • Ability to interpret cellular perturbations and phenotypes.

Responsibilities

  • Review and label high-content fluorescence images (Cell Painting).
  • Identify genuine biology vs imaging artifacts and edge effects.
  • Refine labeling schemas with ML teams and establish benchmarks.
  • Present concise summaries of past image analysis work.

Skills

Image analysis
Phenotypic analysis
Scientific annotation
Edge-case documentation

Education

Life sciences degree

Tools

CellProfiler
ImageJ/Fiji
QuPath
Python pipelines

Job description

Type: Contract, hourly

Location: Remote (Philippines)

Schedule: Flexible

About Expedock

We are a tech-enabled workforce augmentation platform leveraging top 1% offshore talent & cutting edge technology to enable businesses to unlock their full potential.

Who We Need

We are seeking a Cell Biology Specialist with deep hands‑on experience in high‑content fluorescence microscopy to evaluate, annotate, and review scientific image datasets. In this role, you will apply domain expertise to judge biologically meaningful phenotypes, differentiate true cellular responses from assay or imaging artifacts, and help establish ground‑truth labels for advanced bioimage analysis models.

What You'll Do
  • Scientific Image Annotation: Review and label high‑content fluorescence microscopy images (e.g., Cell Painting assays) involving chemical or genetic perturbations.
  • Quality Assurance & Artifact Identification: Distinguish between genuine biological phenomena and technical/imaging artifacts (edge effects, staining anomalies, debris, defocus).
  • Label Protocol & Guideline Review: Collaborate with machine learning teams to refine labeling schemas, evaluation metrics, and benchmark datasets for cell biology tasks.
  • Portfolio Presentation: Share concise summaries or representative samples of past cell biology image analysis or microscopy evaluation work to showcase technical familiarity.
What You Need
  • Academic Background: Hands‑on laboratory experience in Cell Biology, Bioengineering, Biophysics, or a related life sciences field.
  • Microscopy Experience: Direct bench experience with high‑content screening (HCS), fluorescence microscopy, and Cell Painting or similar multi‑channel assays.
  • Phenotypic Analysis: Demonstrated capability in phenotypic screening, cellular morphology analysis, and interpreting chemical/genetic perturbation responses.
  • Software Familiarity: Experience using image analysis tools (e.g., CellProfiler, ImageJ/Fiji, QuPath, or custom Python pipelines).
  • Communication: Ability to clearly document edge cases and explain biological reasoning to non‑biologist machine learning engineers.
Candidate Data & Privacy Notice

By submitting your application, you consent to the collection, use, and processing of your personal information for recruitment purposes. Your data will be used to:

  • Evaluate your qualifications and suitability for current and future roles
  • Communicate with you throughout the recruitment process
  • Improve our hiring processes and candidate experience
  • Maintain talent pools for future opportunities, where permitted by law

Candidate data is handled with care and in accordance with applicable data protection regulations. Your information will only be accessed by authorized team members and will not be shared with third parties without your consent, unless required by law.

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