Who we are looking for
We are looking for a Fullstack Developer for our team. Someone who is passionate about building from 0 to 1 and creating impact in the healthtech industry. Both co-founders have deep data science and healthcare backgrounds. We enjoy working with people who are passionate about coding!
Key Responsibilities:
● Work directly with the Head of Engineering
● High level of autonomy in taking several high-level decisions pertaining to the
architecture and schema of the product
● Communicating with key stakeholders in the organization
Required skills:
● Full-stack development that includes working knowledge in back-end and front-end technologies like NodeJS and SQL
● Object-oriented design
● Demonstrable prior experience in developing a web app from scratch
● Strong understanding of key software concepts like data structure, algorithms, performance, architecture, scalability, and reliability
● Problem solving and communication
Desired skills:
● Understanding of design patterns
● Attention to detail
● High empathy and collaborative skills to work with multilateral and diverse teams
● Ability to learn new skills
What we offer:
● Opportunity to build a product from 0 to 1
● Intellectual stimulations from solving impactful problems in healthcare
● A pleasant learning environment full of open discussion and mutual respect
The company: basys.ai
We are a Boston-based healthtech startup coming out of the Harvard and MIT ecosystem. We use artificial intelligence for better chronic disease management for hospitals and insurance companies.
We have filed a patent on detecting diabetic progression using artificial intelligence, and we are collaborating with Joslin Diabetes Center (the world’s best diabetes treatment center). We are featured extensively in media, including Forbes, NYC Daily Post, the annual report of Harvard, and Nasdaq. Both founders won the 40 under 40 Public Health Catalyst Awards by the Boston Congress of Public Health.
The founders
Amber Nigam
Co-founder and CEO
Amber brings a diverse range of experience (aggregate of 10 years) in domains like entrepreneurship, data science, health tech, and ed-tech. He formerly co-founded and sold an ed-tech company, kydots.ai, where he led tech and operations teams as the co-founder and CTO of the company. He is a master’s candidate in Harvard’s Health Data Science program and began with a bachelor’s degree in Computer Science. He is an Associate Director at the largest entrepreneurship club in Harvard (Harvard GSAS Business Club). He is responsible for helping founders with strategy and pitching (their ideas to investors) across the Harvard ecosystem. Amber was recently awarded a 40 under 40 public health catalyst award by the Boston Congress of Public Health.
Amber’s interests and work are grounded in applied data science. For instance, he has been a module instructor at MIT for the course “Collaborative Data Science for Healthcare”. He has been the inventor of 3 patents and his work has been published at some of the top AI conferences like NeurIPS and ACL and by publishers like Springer and Lancet. He is motivated to work on scalable technical solutions and ideas that bring about positive societal change.
Jie Sun
Co-founder and COO
Jie Sun’s career has been rooted in healthcare for the past 10 years. She has a unique blend of experiences in healthcare consulting, pharma, and hospitals. Previously, she worked in both Singapore and France, managing the strategic medical business of Pierre Fabre in Singapore, Malaysia, Thailand, the Philippines, and Indonesia. Jie has also worked in data science and AI operations at Dana-Farber Cancer Institute and Mass General Hospital. The broad exposure in the agency, pharma, and provider side of healthcare equips her with the ability to translate healthcare needs into business and data science questions. Jie was recently awarded the 40 under 40 public health catalyst award by the Boston Congress of Public Health.
Jie has a BS in Statistics from the National University of Singapore, and an MS in Health Data Science from Harvard School of Public Health. She is a presenter at the Women in Data Science (WiDS) conference at Cambridge, jointly organized by Harvard, MIT, Stanford, and Microsoft. Jie has also published in journals including the Lancet. Jie is passionate about creating impact by designing better healthcare solutions.