Data Scientist

Ridgefield, CT, US • Posted 1 day ago • Updated 6 hours ago
Full Time
On-site
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Research
  • Pharmaceutics
  • Innovation
  • Collaboration
  • Biology
  • Biostatistics
  • Computer Science
  • Science
  • Unix
  • Linux
  • HPC
  • High Performance Computing
  • Immunology
  • Data Analysis
  • Database
  • ATLAS
  • Network
  • Data Science
  • Bioinformatics
  • Genomics
  • Python
  • R

Summary

Great opportunity to work as a Data Scientist at a Global, research-driven pharmaceutical manufacturer focusing on treatment options for diseases and conditions for which there is no satisfactory treatment option to date. This is an amazing opportunity to work on cutting edge treatments and make a difference!

Data Scientist
Contract: 1 Year
Location: Ridgefield, Connecticut/Remote
Benefits: Medical, Dental, Holiday, PTO 401K matching

Scientist III - Data Science / Computational Biology

We are seeking a Scientist III to join the Computational Innovation team and support oncology drug discovery through data-driven, in silico approaches. The ideal candidate will analyze multi-modal omics data, develop innovative computational methods, and collaborate with biologists to advance cancer drug discovery programs.

Key Responsibilities
  • Support oncology drug discovery and development programs.
  • Analyze internal and publicly available datasets using statistical and bioinformatics approaches.
  • Develop and apply innovative data science methods to address complex scientific challenges.
  • Work with bulk and single-cell NGS data to generate meaningful biological insights.
  • Stay current with scientific literature and emerging computational technologies.
  • Interpret and present findings to biologists and cross-functional collaborators.
  • Ensure data analysis is FAIR, well-documented, and reproducible.

Required Qualifications & Skills
  • PhD in Computational Biology, Bioinformatics, Genomics, Biostatistics, Computer Science, Biological Sciences, or a related field.
  • Strong programming experience with Python and R in Unix/Linux environments.
  • Experience analyzing bulk and single-cell NGS data.
  • Experience with HPC/high-performance computing clusters.
  • Proficiency in biological pathway analysis.

Preferred Experience
  • Oncology or immunology.
  • Spatial transcriptomics, methylation, or liquid biopsy data analysis.
  • Public oncology datasets/databases such as TCGA, GTEx, Human Cell Atlas, CZ CELLxGene, or Human Tumor Atlas Network.

#DataScience #Bioinformatics #ComputationalBiology #Oncology #Genomics #Python #R #SingleCell #NGS #DrugDiscovery

This job description is a complete list of all desired skills but not all are required. We strongly encourage candidates who have some of the skills to apply. We look forward to a conversation to learn more about you!

INDBH

#LI-RL1
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10522794
  • Position Id: 58a6863e10de75432ac4234191e2ebba
  • Posted 1 day ago
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