Data Scientist

Orion Group; United States; Remote; USD 100,000 - 125,000; Full time

Job summary

A leading company in pharmaceutical manufacturing is seeking a Data Scientist II to work remotely. The successful candidate will enhance existing data resources and develop new dashboard solutions in Quantitative Medicine and Genomics. This role involves collaboration with various stakeholders and requires strong programming skills in R or Python, along with a quantitative educational background. The position is temporary with a contract length of over 6 months, offering competitive hourly pay.

Benefits

Medical insurance

Vision insurance

401(k)

Qualifications

• 3-5 years experience with a Bachelor's or 0-2 years with an MS in a quantitative field.
• Proficiency in R or Python programming.
• Experience with SQL and Neo4j databases.

Responsibilities

• Update and maintain existing shiny app and Neo4J graph.
• Develop dashboards to evaluate predictive models' effectiveness.
• Provide technical support and troubleshooting for end users.

Skills

R programming

Python programming

Data analysis

Visualization

Collaboration

Education

Bachelors in a quantitative field

MS degree in a quantitative field

Tools

SQL

Neo4j

git

Job description

Data Scientist II - Quantitative Medicine and Genomics

This range is provided by Orion Group. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$57.00/hr - $60.00/hr

Direct message the job poster from Orion Group

Data Scientist II - Quantitative Medicine and Genomics

Location: Remote

Hourly Rate: 57-60/hr (individual medical benefits available at a cost)

Length of assignment: 6+ month contract to start

Services Overview:

The successful candidate will work with stakeholders in the Quantitative Medicine and Genomics (QM&G) organization to update and maintain existing data resources and visualization tools and develop new dashboard solutions for evaluating target predictions against observed data.

Key Responsibilities:

• Update and maintain existing shiny app and Neo4J graph
• Collaborate with team members to design and implement new framework solutions for data analysis and visualization.
• Develop dashboards to evaluate the effectiveness of predictive models for clinical success against several metrics
• Engage with experts in other departments during the development process.
• Provide technical support and troubleshooting for end users
• Create documentation for codebase and tools

Qualifications:

• Bachelors, (3-5 years). MS degree (0-2) or higher in a quantitative field (Bioinformatics, Computer Science, Computational Genetics, Biostatistics or other field with a strong quantitative and computational background)
• Proficiency in R or Python programming
• Experience with git
• Experience using SQL and / or Neo4j databases

Preferred skills:

• Experience working on HPC or cloud environment
• Experience developing web apps in shiny or flask
• Domain knowledge in bioinformatics and / or genetics
• Domain knowledge in machine learning