Data Scientist

About Plasmidsaurus

Plasmidsaurus is on a mission to accelerate new cures and promote a healthier planet by unlocking a new level of productivity for scientists who use DNA tools to bring their ideas to life. Our DNA sequencing tools are used daily by thousands of innovators, including Nobel prize winners, dynamic biotech startups, research labs, and DIY biohackers. Our global network of labs operates day and night to enable world-changing discoveries. In 2024, we saved these scientists 2 million hours of time, radically accelerating their research. Every team member at Plasmidsaurus plays a crucial role in driving forward the future of biotech research.

What you'll be doing

We're looking for a talented Data Scientist to join our team! In this role, you will be responsible for:

1. Dashboard Design and Business Intelligence

• Develop, design, and maintain BI dashboards to visualize data and provide actionable insights.  Experience with BI tools (PowerBI, Tableau, Sigma..etc) is required, Sigma is preferred.

• Collaborate with stakeholders to define key metrics and create intuitive reports to support business goals.

• Optimize dashboard performance and ensure data accuracy.

2. Data Analysis

• Perform data analysis to identify trends, patterns, and insights to inform business decisions.

• Prepare and present findings to technical and non-technical stakeholders.

3. SQL and Data Queries

• Write, optimize, and maintain SQL queries to retrieve, manipulate, and analyze data.

• Validate and troubleshoot data pipelines, ensuring accuracy and consistency.

4. Data Warehousing and Snowflake

• Work with Snowflake to extract and manage large datasets efficiently.

• Optimize data storage and retrieval to improve query performance and scalability.

5. ETL Tools and Data Pipelines

• Build and maintain ETL pipelines to automate the extraction, transformation, and loading of data from various sources.

• Ensure pipelines are robust, scalable, and documented for repeatable use.

• Familiarity with Fivetran and DBT preferred.

6. Data Modeling and Architecture

• Design and implement data models to support analytics and reporting needs.

• Collaborate with data engineers to ensure the data architecture aligns with business requirements.

Qualifications

• BS in a quantitative field, with 3+ years of industry experience

• Start-up experience

• Strong proficiency in SQL, with a deep understanding of querying, performance optimization, and relational database concepts

• Familiarity with data governance and best practices for data quality, security, and compliance.

• Experience in data integration and combining data from various sources to create a unified and accurate dataset.

• Understanding of data warehousing concepts and architecture, including ETL processes, data modeling, and normalization.

• Experience with data visualization in a BI tool (Sigma preferred)

• Experience working with a data warehouse (Snowflake preferred)

• Strong communication and collaboration skills

• (Preferred) Experience with Python + Pandas

• (Preferred) Familiarity or interest in SQL data pipelines with dbt and Fivetran

We encourage you to apply even if your experience doesn't perfectly align with the job description as we seek out diverse and creative perspectives. Team members who love to learn and collaborate in an inclusive environment will thrive with us. We are an equal opportunity employer and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need additional accommodations to feel comfortable during your interview process, please let us know at [email protected].