Senior Data Scientist (Payer) - Prognos (Bayside)
Compensation: $94,330.00 - $148,460.00 /year *
Employment Type: Full-Time
Industry: Information Technology
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Prognosis a NYC-based healthcare startup whose mission is to improve health by driving the best actions learned from the world's data. In order to achieve this goal, we have curated the world's largest clinical lab dataset--covering almost 200M patients in the US--and are currently deploying cutting-edge technology for predicting disease at the earliest possible time.Strong statistical analysis background with a deep understanding of a variety of ML algorithmsThorough understanding of modern deep learning techniques.Ability to code a proof of concept in a short period of time (in a programming language of their choice)Willingness to stay abreast of and evaluate recent advances in machine learningExperience with relevant software tools, such as Python, PyTorch, Pyro, TensorFlow, Edward, Chainer, scikit-learn, statsmodels, and/or others. You'll be free to use whatever tools you feel are appropriateExperience with cloud-based services such as AWS, Databricks or GCPComfortable extracting data using SQL, Apache Spark or other distributed compute engineAccustomed to working with git and shared codebasesExtensive data cleaning and data manipulation experienceStrong communication skills. Experience presenting findings to people who are not Data ScientistsAbility to collaborate with the team and translate existing research into practical solutions and productsAbility to build and maintain relationships with various collaborators across the company, and take ownership of data science projects
The Mission of the Data Science team at Prognos is to develop, deploy and maintain AI/ML pipelines within all of Prognos' products, addressing business-relevant problems in close collaboration with Engineering, Clinical and Product teams.
We are looking for a hands on (IC) Senior Data Scientist to join the team, and help us move this mission-critical task forward. This position will be focused on helping us learn about patient health from medical time series. Are you interested in applying cutting edge deep learning techniques to complex data? Do you want to work on interpretability and uncertainty quantification in deep learning? Then come work with us!
Candidates must have a degree in Computer Science, Statistics, Mathematics, Electrical Engineering or a related quantitative field; Masters or higher is preferred. At least 3 years of hands on machine learning (ML) experience with real world data is required.
Required Skills and Experience
Preferred Skills and ExperienceExperience with Bayesian/probabilistic approaches to deep learning is a big plusExperience with complex, high dimensional, sparse time series dataExperience with distributed deep learningExperience with healthcare data and/or insurance data a plus
Prognos Values & CultureBe Collaborative: Always do what is best for the client. Check your ego at the door. We deliver premium value at a premium price. Practice blameless problem solving. Create win/win solutions.Be Courageous: Do the right thing, always. Look at the facts and don't assume.Be Curious: Think big and start small. Be relentless about improvement. Be predictive. Be curious and always ask whyBe Enthusiastic: Celebrate success. Be enthusiastic and positive. Let's have fun. Have purpose and believe in the greater good.Be Driven: Act with a sense of urgency. Take ownership and honor commitments. Either find a way or make one. Deliver results.Be a Superstar: Make quality personal. Deliver remarkable client service. Be better than your previous self. Go above and beyond.Our culture guide:
Prognos is a healthcare AI company focused on predicting disease to drive decisions earlier in healthcare in collaboration with payers, Life Sciences and diagnostics companies. The Prognos Registry is the largest source of clinical diagnostics information in 40+ disease areas, with over 25B medical records for 200M patients. Prognos has 1000 extensive proprietary and learning clinical algorithms to enable earlier patient identification for enhanced treatment decision-making, risk management and quality improvement. The company is supported by a $42M investment from Safeguard Scientifics, Inc. (NYSE: SFE), Merck Global Health Innovation Fund (GHIF), Cigna (CI), GIS Strategic Ventures, Hikma Ventures, Hermed Capital, and Maywic Select Investments. For more information, visit www.prognos.ai.
To improve health by driving the best actions learned from the world's data
To prevail over disease and empower people everywhere to live life to the fullest
Selected PerksFree FreshDirect food, snacks, drinks, etc. delivered to the NYC office weeklyFlexible work arrangements and unlimited PTOMonthly Happy Hours with LeadershipSome of our benefits include: Health Insurance, Life Insurance, Short Term and Long Term Disability, Dental, Vision, 401k, HSA, FSA, Dependent care flexible spending, commuter benefits,free access to One Medical Group, Gym discounts, flexible work hours and locations, access to the WeWork network, a Health Advocate, Employee Stock Option Plan, and more
Associated topics: cytometry, dietetic, drug development, food scientist, healthcare, immunoassay, immunohematology, industrial hygienist, therapeutic, transfection
* The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.
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