Septerna is a biotechnology company based in South San Francisco, CA on a mission to develop life-changing medicines for patients with the vision to become the industry-leading G protein-coupled receptor (GPCR)-focused drug discovery company. The company’s Native Complex™ Platform recapitulates GPCRs with their native structure, function, and dynamics outside of the cellular context. This approach enables novel access to modern structural and screening technologies used in industrial-scale drug discovery for the entire class of GPCRs. Septerna has an emerging pipeline of GPCR-targeted small molecule programs with potential for growth to target many GPCRs that have been undruggable and unexploited to date.
We are excited to expand our multidisciplinary team of individuals focused on creating revolutionary medicines to address the unmet needs of patients. At Septerna we strive to embrace diversity of thought, expertise, and background through collaboration. To join our ambitious team, be prepared to bring your real self to work every day; grow and learn from a talented team of drug hunters, scientists, and business professionals; and contribute your passion, creativity, and energy to accomplish our mission. We share a fearless pursuit of ground-breaking innovations and cultivate an environment where our employees succeed by learning from each other and working as a team.
We are committed to the development of meaningful therapeutics for patients with indications of high unmet need. This is a tremendous opportunity to work with talented individuals on the frontlines of therapeutic discovery and development. You will directly help move therapies through preclinical research, positioning them for success in the clinic. The successful candidate will add their passion, unique talents, and expertise to a dynamic team motivated to discover new disease-modifying therapeutics for patients in a fast-paced environment.
For more information see: www.septerna.com.
Responsibilities
- Maintaining and improving existing data processing workflows and infrastructure (Python, NextFlow, AWS Athena); ensuring data integrity
- Designing and implementing new cloud data stores, and data processing and analysis pipelines for scientific data sets
- Improving data access through organization and implementation of data visualization tools
Qualifications
- Bachelor’s degree or higher in computer science, engineering, data science or similar field
- 5+ years of data engineering experience with AWS infrastructure
- Experience with data warehouses or query services for large data such as AWS Athena or BigQuery
- Strong Python programming and software engineering skills
- Excellent communication skills with ability to work with scientific teams
- Good coding practices, experience with version control, docker and virtual environments
Preferred skills
- Experience with NextFlow workflows for biological/chemical data processing
- Experience with managing and organizing chemistry and/or biology data
- Practical understanding of statistical approaches