Senior Software Engineer - Data Integrations (Remote)
Toronto, Ontario
BenchSci
BenchSci is a world leader in AI solutions for preclinical R&D. Using proprietary technology, we help decode the complexity of biomedical research.We are currently seeking a Senior Software Engineer to join our growing Data team! Reporting to the Engineering Manager, you will primarily work on cloud data integration projects where you will directly engage with our clients. You will design cloud integration solutions to get data from our clients' storage into our cloud (GCP). You will also evolve our data models, operationalize production-grade data pipelines, and contribute to our document mining/information retrieval initiatives as we expand our ability to extract valuable insights from scientific publications and databases.
You will:
- Develop cloud data integration strategies and solutions on major cloud providers
- Design and develop cloud data integration modules
- Represent BenchSci as a technical expert through engaging with our clients
- Scale data pipelines to allow our data to go from research to platform as fast as possible
- Collaborate with ML and Data engineers to solve complex document mining challenges, enabling us to capture and model additional scientific experiments
- Develop data access mechanisms for downstream applications' consumption
- Manage sources that contain both semi-structured and unstructured data
- Apply state-of-the-art data processing engines to rapidly process our data sets
- Employ best practices for a broad platform of technologies within a cloud-based environment
- Provide troubleshooting analysis and resolution in a timely manner
- Work on projects involving some of the largest pharmaceutical companies in the world
- Solve difficult problems and bring new perspectives to the team
- Have opportunities to work both independently and in pair-programming settings
You have:
- 5+ years of experience working as a professional developer
- Expertise with Python and SQL
- Experience with developing cloud data integration solutions, preferably on the Google Cloud Platform
- Experience with cloud reference architectures and developing specialized stacks on cloud services
- Experience with data processing engines (we use Beam)
- A strong background in data structures and large-scale data manipulation
- Familiarity with information retrieval theory and practical applications of it
- Strong cross-team communication and collaboration skills
Nice to haves, but not mandatory qualifications:
- Work or academic experience in the life sciences
- Experience with Kubernetes in production
- Experience with Infrastructure-as-code
- Experience with technical design and applying architectural patterns
- Experience with statistical analysis of large datasets
Benefits and Perks:An engaging remote-first culture that hires the best talent from around the worldA competitive compensation package that includes BenchSci equity options Comprehensive health and dental benefits with an emphasis on mental healthAn annual Executive Health Assessment at Medcan for proactive health awarenessThree weeks of vacation plus an additional day for every completed yearA $2000 Annual Learning & Development budgetGenerous parental leave benefits with a top-up plan or paid time off optionsAdditional time-off: 2 weeks for Winter Holiday, every other Friday in July and August, your birthday, and more!A $1000 work from home allowance to make your home setup perfect for youAn Oculus Quest 2 to connect with your team members in Virtual RealityAn executive coach for managers to assist in leading high-performing teamsComplimentary Headspace account to support mental wellness and focusComplimentary genome sequencing from 23andMe to better understand your health through your DNA
Our Culture:We believe culture is critical to success and invest accordingly. We live and promote our FASTT values of focus, advancement with speed, tenacity, and transparency. We work hard to maintain an engaging, supportive environment where everyone can do their best work. To learn more, read our culture deck.
Diversity, Equity, and Inclusion:We're committed to creating an inclusive environment where people from all backgrounds can thrive. We believe that improving diversity, equity and inclusion is our collective responsibility, and this belief guides our DEI journey. To learn more, read about our DEI initiatives.
Accessibility Accommodations:BenchSci provides accessibility accommodations during the recruitment process. Should you require any accommodation, we will work with you to meet your needs.
#LI-Remote
Tags: Data pipelines Engineering GCP Google Cloud Kubernetes Machine Learning Pipelines Python Research SQL Unstructured data
Perks/benefits: Career development Competitive pay Equity Health care Parental leave Startup environment Transparency Wellness
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