Our mission at Swoop and IPM.ai is to improve patient outcomes by radically accelerating the commercialization of life-saving therapies through advanced privacy-preserving data engineering, machine learning and AI automation at petabyte scale.
Swoop and IPM.ai share a common technology platform and are the cornerstone of the product portfolio at Real Chemistry, a global health innovation company that works with 29 of the top 30 companies in pharma and biotech. A career at Swoop and IPM.ai offers a rare opportunity: the excitement, impact and upside of a fast-growing high-tech startup with the resources, along with the flexibility and stability of a very profitable parent company on its way to a big IPO.
In the recent past, our team has enabled patients to learn about novel therapies, doctors to diagnose some of the rarest diseases on Earth, and promising biotechs to raise capital for continued innovation. From genetic blindness to multiple myeloma, our AI technology has helped patients with a wide variety of conditions discover novel treatments and find relief, enter remission, or even fully recover. Together we can work to make the world healthier.
Our approach to big data, machine learning and AI is principled and unique. The world is in the early stages of a data/AI product revolution and our team is on the leading edge, defining the patterns for modern systems to support the rapid creation, automation, and evolution of data/AI products and boosting the productivity of data engineers, data scientists and data analysts. We embrace open platforms that unify data warehousing, advanced analytics, data science and MLOps. We build upon the emerging Lakehouse (CIDR 2021 paper) architecture and are recognized leaders in the Spark ecosystem with many open-source contributions. This is familiar territory for us. In past platform revolutions, our CTO, Sim Simeonov, led teams that created and open-sourced foundational patterns for building large scale Web applications, Web-based APIs and single page apps. By joining us, you will have the opportunity to define the state of the art for how teams around the world create data/AI products.
As a Data Scientist on our team, you will architect, develop, and deploy AI products that touch every part of our business and help our clients improve patient outcomes. Our shared infrastructure and frameworks leverage Apache Spark, Scala, and cloud-based services to safely work with private health data for millions of patients. We want you to help us tackle some of the most challenging health innovation problems at scale by creating and evaluating ML models, evaluating them under sometimes adversarial situations, and packaging these insights for our internal and external customers. Your work will advance, even expand, our capabilities, and accordingly you will have the opportunity, responsibility and autonomy to significantly impact the growth of the company.
WE’D LOVE TO HEAR FROM YOU IF YOU:
-
Have a passion for creatively applying pragmatic and scalable approaches to Machine Learning to tackle difficult problems affecting patients and providers.
-
Have an interest in advancing the state-of-the-art in Healthcare by building new products and improving existing ones to uncover insights and drive decisions that improve patient outcomes at all stages of a patient’s journey.
-
Have a natural curiosity for math, particularly probability and optimization.
-
Are comfortable working on a high-performance team toward a multi-year vision with incremental deliverables.
-
Are an entrepreneurial self-starter, curious about both technology and business, and driven by delivering end-user value and impact.
-
Are capable of expressing your designs in at least one programming language and pulling and manipulating source data via SQL or similar data abstractions.
-
Are able to or willing to learn to build pipelines in Apache Spark and write Scala code.
-
Know best practices for data hygiene and understand nuances of measurement and model evaluation.
-
Know about or want to learn more about semi-supervised learning, NLP, transfer learning, representation learning, recommender systems, social network analysis, or process mining.
BONUS IF YOU HAVE DIRECT EXPERIENCE WITH:
-
Building embeddings using deep learning frameworks to carry out predictive, descriptive, and prescriptive tasks.
-
Discrete or continuous optimization, privacy-preserving ML, experimental design, causal inference, Bayesian structure learning, topological data analysis (TDA), or simply enjoy showing off knowledge in similar niche topics!
Real Chemistry is currently operating with a flexible, hybrid approach and giving our teams the ability to operate in the way that works best for them – at home, in office or a mix. * We trust our people to decide what works best for them, working together with their teams and leaders to support our customers and make the world a healthier place. This policy will continue to be evaluated and may change in the future as we seek to ensure our people stay inspired, engaged, and motivated to do their best work.
*All employees who work in a Real Chemistry office, travel for business, or attend a Real Chemistry sponsored event must be fully vaccinated against COVID-19. Employees who qualify for a religious or medical exemption to receiving a COVID-19 vaccine are advised to work with our People team for accommodation.
Real Chemistry offers a comprehensive benefit program and perks, including flexible PTO, expanded paid leave for new parents including Your 4th Trimester ® , a program that helps new parents transition back to work, and a five-week sabbatical program. Other perks include Income Protection, Retirement plans/401(k) match, and cell phone savings plans. Learn more about our great benefits and perks at: https://www.realchemistry.com/