SENIOR SOFTWARE ENGINEER (FULL-STACK)
FULL TIME IN SYDNEY, AUSTRALIA
ARE YOU AN EXPERIENCED FULL-STACK SOFTWARE ENGINEER WHO ENJOYS CONNECting AND ORGANISing LARGE VOLUMES OF IMPORTANT DATA?
DROP Bio is a pre-launch direct-to-consumer health information venture. Our vision is to use the predictive information in blood and machine learning to improve individual health, prevent disease and dramatically accelerate the global pace of research. We also plan to become the world’s trusted source of personal blood-based information.
Working with the CEO and the Vice President, Software Engineering, this is a superb chance to create and craft a product and company culture, as one of the first team members.
You enjoy learning and collaborating effectively with scientists, marketers and bioinformatics specialists and think about technology management as it relates to business objectives, architecture and infrastructure performance.
You are also experienced in agile development methodologies for new products and understand how scalability should be built into products.
Your passion for technology includes protecting customer data and if we asked your peers to describe you, they would say you are ‘an engineer who knows their code, has excellent judgment and integrity, excellent writing and interpersonal skills and is low on ego and high on humour’. They would also say you have the ability to stay focused and prioritize a heavy workload while achieving exceptional quality.
HOW DO WE THINK ABOUT GROWING CULTURE AND DIVERSITY?
We embrace diversity and equal opportunity in a serious way. We don’t just accept difference — we celebrate it, we support it, and we thrive on it. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be.
We bring this philosophy to life by living these five values:
People first, science second - Start with people’s lifestyle and expectations in mind to make the scientific evidence more valuable, accessible and understandable
Every idea matters - Be curious, ask for help, and demonstrate an ability to grow. Own and learn from mistakes. Bring optimism to work.
Champion the mission - Prioritise work that advances the mission. Take intelligent risks, demand excellence and strive to be the best in the world.
Make every day count - Create the future with resilience, urgency and humanity. Be kind, humble, strong and embrace the adventure.
Thoughtfully disagree - Listen and be motivated by a genuine fear of missing important perspectives.
Assisting in developing architecture strategy and technology roadmaps with the leadership team to identify risks and opportunities
Informing and facilitating architectural decisions with specialists in distributed teams
Hands-on development of one or more modules of a product/solution and peer review of team member’s code, including designing and deploying storage and database schemas and API’s to connect, securely transmit and organise data from partner organisations
Applying your good sense of UI design to create and deploy web and smartphone applications that help customers access and update their health information
Leading the releases for assigned modules
Being accountable for design and code for the assigned modules across sprints
Ensuring consistent high standards, processes, and procedures for software development, quality assurance, data privacy, and maintenance
2+ years experience building products including:
Working on large (B2B and or B2C) software products as a software engineer at startups/SMEs/spin-offs
Systems engineering experience specifically diverse computing protocols, security, high-performance systems, and distributed technologies
Working with full stack technologies including experience with web and scripting
Experience working with Apple Health Kit (and knowledge of ResearchKit and CareKit) and Google Fit is desirable
Demonstrated experience with AWS is essential
Advanced understanding of the Fast Healthcare Interoperability Resources (FHIR) specification
Highly detail oriented and well organized with strong analytical and problem-solving skills
BS/MS/PhD in Computer Engineering or equivalent experience is required
Previous experience within biotechnology is highly desirable but not mandatory
Includes but is not limited to Elixir Phoenix, Ruby, Node.js, React, AWS, Heroku. Knowledge of Random Forest, SVM and ANN for machine learning is desirable.
No Recruiters Please