skillfactor-pipeline/docs/qa/biologist-sample.md

QA sample — biologist

1 of 30 records (2%). Judge each extraction against QUALITY_BAR.md 'Extraction quality': faithful, no invented items, plausible seniority.

Computational Biologist (us)

Ad (first 2000 chars):

Computational Biologist • Full-time position • 430 E 29th St, New York, NY • Competitive compensation: $120,000-140,000 Salary, Benefits, plus Stock Options in a well-funded startup

About Waypoint Bio:

Waypoint Bio a venture-backed biotech startup innovating in spatial and computational biology and their application to advancing cancer therapies. Our leading focus is the development of next generation of cell therapies for solid tumors. Our proprietary platform overcomes a major obstacle—the tradeoff between that with fast but inaccurate in vitro and more accurate but slow and expensive in vivo approaches—that holds back traditional cell therapy preclinical development. Combining spatial pooled screening, in silico engineering, and machine learning, we obtain both depth and breadth when screening cell therapy candidates: speed without compromising on in vivo accuracy. Our team is highly collaborative, interdisciplinary, and committed to developing breakthrough therapies to benefit patients’ lives.

Position Summary:

We are seeking a highly motivated, innovative, and rigorous computational biologist to work across the breadth of our research and development program. The ideal candidate will have deep knowledge of computational biology and machine learning, excellent software engineering skills to put that knowledge into practice, the ability to solve problems independently and collaboratively, and a passion for learning and developing new skills. They will push the limits of what can be inferred from our growing dataset of fluorescence microscopy images from cancer tissue samples, while collaborating with experimental biologists to design and develop further improvements to the spatial biology platform. Our high-throughput screening creates a unique opportunity for inventive minds to design/test novel ideas for better-engineered cell therapies. We seek broadly knowledgeable and creative thinkers who bring together ideas from disparate areas of the biological and c

Extraction:

{
 "hard_skills": [
  "computational biology",
  "machine learning",
  "data analysis",
  "image analysis",
  "modeling",
  "algorithm development",
  "statistical analysis"
 ],
 "tools": [
  "Python",
  "R”, “numpy”, “scikit-learn”, “pandas”, “pytorch”]"
 ],
 "methods": [
  "deep learning",
  "spatial pooled screening",
  "in silico engineering"
 ],
 "responsibilities": [
  "data interpretation",
  "therapy design",
  "pipeline development",
  "infrastructure maintenance",
  "scientific collaboration",
  "code base contribution"
 ],
 "qualifications": [
  "PhD in bioinformatics or related field",
  "proficiency with python/r"
 ],
 "soft_skills": [
  "technical communication",
  "problem-solving",
  "collaboration",
  "learning agility"
 ],
 "seniority": "mid"
}