Data Scientist
AstrixAbout the role
Pay Rate Low: 50.00 | Pay Rate High: 54.00
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
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.
Qualifications
- 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.
Benefits
- Medical
- Dental
- Holiday
- PTO
- 401K matching
Skills mentioned
About Astrix
Astrix is the global leader in delivering innovative strategies and solutions to the life sciences industry. Powered by world-class people, proven processes, and advanced technology, Astrix partners with clients to drive measurable improvements in business performance, scientific advancement, and clinical outcomes—ultimately driving towards a goal of improving quality of life. Founded by scientists to address the industry’s most complex challenges, Astrix provides a growing portfolio of strategic and technical services that deliver immediate impact while enabling long-term digital transformation. Our deep expertise spans strategic planning, data strategy, AI/ML readiness and technologies, lab informatics, and modern clinical operations and eClinical platforms so we can successfully deliver solutions that have high impact and drive better outcomes for everyone.