Contract Data Scientist – Life Sciences Analytics (Boston)

Commonwealth Sciences, Inc.; Boston (MA); On-site; USD 90,000 - 130,000; Full time

Job summary

Commonwealth Sciences, Inc. is seeking a data-focused professional to set up and optimize Dotmatics workflows, troubleshoot data pipelines, and enhance laboratory data processes in Boston. You will work with biologists and scientists to implement scalable data solutions using SQL, Oracle, Python, and R.

The role emphasizes collaboration across teams to translate requirements into robust data workflows and reporting capabilities that improve data accessibility and scientific insights.

Qualifications

• Experience with Dotmatics or related product.
• Strong SQL and Oracle experience.
• Proficiency in R and/or Python.
• Bachelor's or Master's in a related field.
• Strong analytical and troubleshooting skills.

Responsibilities

• Set up, configure, and troubleshoot Dotmatics protocols and workflows.
• Troubleshoot issues and provide technical support for Dotmatics and scientific data workflows.
• Optimize Oracle database performance, including SQL queries and database processes.
• Develop applications, tools, and data solutions for Chemistry and Biology teams.
• Use SQL, R, and/or Python to analyze and manage scientific data.
• Collaborate with scientific and technical teams to understand requirements and develop practical solutions.
• Support improvements to laboratory data workflows, reporting, and data accessibility

Skills

SQL

Oracle database

Python

R

Analytical thinking

Troubleshooting

Education

Bachelor's or Master's in data science / CS / bioinformatics

Tools

Dotmatics

Job description

Commonwealth Sciences, Inc. is seeking a data-focused professional to set up and optimize Dotmatics workflows, troubleshoot data pipelines, and enhance laboratory data processes in Boston. You will work with biologists and scientists to implement scalable data solutions using SQL, Oracle, Python, and R.

The role emphasizes collaboration across teams to translate requirements into robust data workflows and reporting capabilities that improve data accessibility and scientific insights.