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Bioinformatics Machine Learning Scientist
Bioinformatics Machine Learning ScientistKatalyst HealthCares & Life Sciences • Remote, NJ
Bioinformatics Machine Learning Scientist

Bioinformatics Machine Learning Scientist

Katalyst HealthCares & Life Sciences • Remote, NJ
[job_card.30_days_ago]
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  • [job_card.full_time]
  • [filters.remote]
[job_card.job_description]

Job Description :

The successful candidate will work closely with stakeholders in the Quantitative Medicine and Genomics (QM&G) organization to develop predictive AI / ML models using large-scale transcriptomic and imaging datasets to elucidate drug mechanism of action (MOA). Key responsibilities can include ingesting public data, performing data clean-up to ensure model compatibility, integrating external and internal datasets, and optimizing multi-model models. This role offers the opportunity to make a direct impact on drug development by delivering innovative data science solutions across cross-functional projects.

Responsibilities :

  • Support senior analysts in implementing, training, and troubleshooting AI models.
  • Ingest, clean, and preprocess large-scale transcriptomic and imaging datasets for AI workflows.
  • Collaborate with scientific and technical teams to translate biological questions into computational solutions.
  • Document processes and outcomes ensuring reproducibility and transparency.
  • Assist in interpreting model outputs to advance the understanding of drug MOA.
  • Work with agility on time-bound projects with critical deliverables.

Requirements :

  • MS degree (+ years of experience) or PhD ( years of experience) in a quantitative field (Bioinformatics, Computer Science, Computational Genetics, Biostatistics, AI / Machine Learning Engineer or other field with a strong quantitative and computational background) Proficiency in Python and standard ML libraries.
  • Proficiency working on HPC or cloud environments.
  • Domain knowledge in bioinformatics / computational biology.
  • Strong attention to detail, documentation, and communication skills.
  • Ability to independently execute and troubleshoot research plan.
  • Preferred skills :

  • Experience with NumPy, Pandas, Scikit-learn, Matplotlib, and seaborn.
  • Experience with TensorFlow, and / or PyTorch.
  • Experience with git for version control and collaboration.
  • Experience with OpenCV, Scikit-image, and computer vision deep learning models.
  • Experience with multi-modal models.
  • Top skills :

  • Implementing, training AI / ML models.
  • Data pre-processing for AI compatibility.
  • Domain knowledge of bioinformatics.
  • Experience working with genomic data.
  • Ability to communicate results clearly.
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