Scientific Data Specialist
We are a well-funded stealth mode startup working in the RNA therapeutics space. Our team is looking for a candidate with an interest in the life sciences and a passion for data organization to drive the development and implementation of scientific data management and stewardship at our company. This position offers the opportunity to work cross functionally with both lab and computational scientists, solving problems at the interface of software, lab, and information sciences. You will help establish a comprehensive ecosystem of data-centric solutions to record, organize, store, secure, govern, and access data in meaningful ways.
If you are not sure that you’re 100% qualified but are up for the challenge – we want you to apply! The level for this position will be dependent upon experience.
How you’ll contribute
- Develop expertise with our electronic lab notebook (Benchling) and be the go-to resource for how data is recorded and stored in the notebook.
- Build strong relationships with scientists. Work to understand their workflows – e.g., how data is generated, analyzed, and stored – and effectively communicate these workflows to team members.
- Collaborate with a cross functional team to develop data strategy, models, and management policies.
- Be an advocate for data management best practices across the company.
- Identify ways to accelerate adoption of data management best practices, e.g., by automating extract, transform and load (ETL) processes or designing custom study design and results templates.
- Find the best approaches to leverage the capabilities of the tools we use, and train team members to use them effectively.
Our ideal candidate will have
- Master’s degree in a relevant discipline or a bachelor’s degree and 2+ years’ experience working in life or information sciences (e.g., biology, chemistry, bioinformatics or library science).
- A track record of working with complex data, including data access and organization.
- Willingness and excitement to learn new scientific concepts and technical skills (e.g., databases, python scripting, aws)
- Strong organizational skills and a passion for organizing information
- Excellent communication skills and ability to explain complex concepts to technical and non-technical colleagues
- Curiosity and inquisitiveness to arrive at an understanding of the true needs behind a colleague’s request
Bonus points for
- Experience working in a life sciences laboratory or working with scientists and scientific data
- Experience with an electronic lab notebook such as Benchling
- Familiarity with databases, data models, Python and Git