The Scientific Computing Team at Twist is seeking to hire a Data Analyst. In this role, you will conduct large scale analyses to develop, improve, and troubleshoot our latest products and internal processes.You will have the opportunity to work on leading-edge products for genomics, diagnostics, and personalized medicine.
Ideal candidates will be comfortable supporting and guiding multidisciplinary internal teams with data-driven analyses. Candidates will need to have experience retrieving, analyzing and presenting process and product data for internal stakeholders. Individuals should be comfortable owning and understanding the analytics for a subset of company processes.
Key Responsibilities:
- Conduct exploratory data analysis in python and Databricks in order to answer questions from internal stakeholders
- Write SQL queries to retrieve data for downstream analysis
- Build robust pipelines to extract, transform and load data
- Create dashboards and reports towards tracking KPIs.
- Work in tandem with R&D, bioinformatics, production software, and manufacturing to solve problems and create new productswith a data-first mindset.
What You’ll Bring to the Team:
- A bachelor’s degree or master’s degree with 3 years of experience in a related field such as computer science, molecular biology, biochemistry, genetics, genomics, or chemistry.
- Programming experience - SQL and Python
- Comfortable operating in cloud-based technologies such as AWS, Databricks, Snowflake, dbt
- Experience with visualization tools - Tableau preferred
- Strong interpersonal skills and the ability to work well in a team.
- Attention to detail and the ability to work efficiently in a fast-paced environment.
- Critical and strategic thinking to your work, including making logical conclusions, anticipating obstacles, and open-minded approaches to problem solving.
Preferred Qualifications:
- Background in molecular biology or next-generation sequencing
- Experience in bioinformatics and using command line tools
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