What are the responsibilities and job description for the Data Scientist position at Careers Integrated Resources Inc?
Job Title: Data Scientist
Location: Raleigh, NC 27617
Duration: 12 Months contract (Possible Extension)
Please Note: Required to use personal laptop for work, as the client will not be supplying any equipment.
Hybrid role - Raleigh - Tues-Thurs onsite:
Responsibilities:
Experience:
Preferred:
Location: Raleigh, NC 27617
Duration: 12 Months contract (Possible Extension)
Please Note: Required to use personal laptop for work, as the client will not be supplying any equipment.
Hybrid role - Raleigh - Tues-Thurs onsite:
- Biology background is a great to have, few years is okay Sequencing Data.
- RNA-Seq single cell CRISPR.
- The Genomics and Integrative Biology team at consists of data scientists and biologists collaborating in the development and application of genomic technologies for early drug discovery.
- In this role, you’ll apply published and internal methods for the integrative modelling of data from diverse genome-wide, often sequencing-based, assays for the purposes of therapeutic hypothesis generation and evaluation.
Responsibilities:
- Perform diverse modelling tasks, typically with sequencing data or data matrices with sequencing counts as input.
- Support visualization of data from complex biological assays.
- Have accountability for delivering objectives through effective collaboration within the Genomics and Integrative Biology team.
- Communicate effectively within team, including progress, issues, timelines and impact.
Experience:
- 4 years of experience in command-line environment and Client scripting.
- 4 years of experience coding in Python.
- Coursework in parametric statistics.
- M.S. degree in bioinformatics or other mathematical or scientific field with evidence of strong computational experience.
- Demonstrated experience in sequence biology and high-throughput sequencing data Experience with git.
Preferred:
- Track record working with scientific or complex structured data.
- Experience with Jupyter notebooks or R markdown, Docker, and both Python and R.
- Lab experience in or coursework in molecular or cellular biology or genetics.
- Familiarity with bioinformatics workflows or laboratory data systems.