Job Description The Augmented Intelligence in Medicine and Science (AIMS) Laboratory is breaking new ground on a daily basis in applying data driven insights to improve the care of our patients. This highly innovated lab funded by a number of R01 and other NIH grants is seeking a highly qualified data scientist to help derive insights from real-world clinical data that can be used to improve clinical practice. The individual will be an active leader in a highly innovative lab applying cutting edge machine learning techniques to multi-modal electronic health record (EHR), waveform and genomic data to answer highly relevant clinical questions and deploy these models into clinical care. The clinical deep learning scientist will partner with an array of data savvy clinicians, researchers and students on multiple clinical research projects in the AIMS lab and broader Charles Bronfman Institute for Personalized Medicine (CBIPM). The AIMS lab has access to EHR data from millions of patients with a diverse range of backgrounds and clinical conditions using a variety of data science techniques and is part of the Mount Sinai Million Project that is actively enrolling and genotyping one million Mount Sinai Patients. The lab leverages state of the art infrastructure including a large on-premise high compute cluster with dedicated GPUs for the lab. This individual will have strong technical skills in the areas of data extraction and cleaning, deploying and developing advanced ML models, and interpreting the results of these tests. Responsibilities 1. Analyzes data requests using information technology, enrollment, claims, pharmacy, clinical, contract, medical management, financial, administrative and other corporate data from both modeled and disparate internal and external sources. a. Works with departmental staff to identify requirements for reporting and / or business intelligence tools. b. Identifies necessary data, data sources and methodologies. c. Collects, organizes, integrates, analyzes and interprets data. d. Leverages advanced statistical analysis methods to create insightful recommendations and conclusions that may be communicated to the stakeholder. e. Identifies and addresses expected and unforeseen data complexities to mitigate their impact on the analytic outcome and associated business decisions. Works to improve data quality where possible within created analytical models. Feeds data quality issues back to IT or identified data stewards to facilitate creation of high quality metrics. f. Develops and may present reports, analyses and findings to senior management and others as scheduled or requested. 2. Responsible for one or more of the following stakeholder groups: a. Contracting and Commercialization May assist in the modeling and forecasting contract scenarios, measuring ongoing performance and identify trends in performance to inform our clinical or contracting staff to improve contract outcomes. b. Care Management Helps to identify, understand and prioritize at-risk members in need of care management. Helps stratify our membership to optimally use resources to focus on the patients most in need, currently or in the future. c. Medical Directors Helps to identify utilization trends and variations across the different categories of health care services to assist the Medical Directors to focus their efforts to maximize contract performance and clinical effectiveness. d. Quality and Documentation Helps to link payer quality and documentation opportunities into operational analytic processes to maximize our quality scores, top line revenue and optimize the use of resources in concert with MS Health System contracts. e. I.T. / High Performance Computing in any ongoing projects. 3. Acts as liaison/analyst for internal stakeholders, understands their needs and translates them into reporting and analytic solutions. 4. Effectively communicates with stakeholders and customers and ensures all requests are properly triaged, recorded and tracked. 5. Adheres to corporate standards for performance metrics, data collection, data integrity, query design, and reporting format to ensure high quality, meaningful analytic output. 6. Helps identify and understand data from internal and external sources for competitive, scenario and performance analyses, and financial modeling to gain member/provider insight into new and existing processes and business opportunities. 7. Works closely with IT on the ongoing improvement of Mount Sinais integrated data warehouse, driven by strategic and business needs, and designed to ensure data and reporting consistency throughout the organization. 8. Develops and maintains project work plans, including critical tasks, milestones, timelines, interdependencies and contingencies. Tracks and reports progress. Keeps stakeholders apprised of project status and implications for completion. 9. Provides technical support to data analytics functions as they relate to varied business units, and technical expertise on the selection, development and implementation of various reporting and BI tools tied to business unit reporting requirements. Creates new BI reports and interactive dashboards as required. 10. Prepares clear, well-organized project-specific documentation, including, at a minimum, analytic methods used, key decision points and caveats, with sufficient detail to support comprehension and replication. 11. Ensures customers are adequately trained to use self-service BI tools and dashboards. 12. Assists and may teach others within the organization on how to a) define meaningful process and performance measures, b) develop BI queries, and c) generate and use management reports effectively. 13. Shares development and process knowledge with other analysts in order to assure redundancy and continuously builds a core of analytical strength within the organization. 14. Demonstrates proficiency with the principles and methodologies of process improvement. Applies these in the execution of responsibilities in support of a process focused approach. 15. Other duties as assigned. Qualifications <ul><li>A Masters or PhD in data science (or equivalent in work experience). Previous experience with clinical data is preferred but not necessary </li><li>Significant expertise with programming in Python, and machine learning using Pytorch, matplotlib or seaborn and related packages. </li><li>Significant experience in using Linux in a shared, high-performance computing cluster environment, with a batch scheduler like SLURM or LSF. </li><li>Expertise using machine learning techniques (i.e., random forests, gradient boosted trees, deep neural networks) for predictive modeling, including time series data, subtyping (supervised and unsupervised), reinforcement learning and other data science activities. </li><li> Experience with natural language programming using a variety of techniques, text tokenization, including encoder-decoder neural network architectures, decoder-only architectures, learning embeddings, supervised finetuning using multiple GPUs. Experience with reinforcement learning with human feedback, prompt engineering and cloud APIs preferred but not necessary. </li><li>Strong written and oral presentation skills including comfort with complex technical concepts to a variety of audiences. </li><li>Experience with bio-statistical and epidemiological study designs and analytical frameworks is preferred. </li><li>The candidate will be expected to develop familiarity with electronic health record (EHR) data, common data model platforms (e.g., OMOP) and clinical ontologies (e.g., SNOMED including ICD-9/10, LOINC, RxNorm, UMLS, CPT codes, etc.) on the job</li></ul> About Us Strength Through Diversity The Mount Sinai Health System believes that diversity, equity, and inclusion are key drivers for excellence. We share a common devotion to delivering exceptional patient care. When you join us, you become a part of Mount Sinai's unrivaled record of achievement, education, and advancement as we revolutionize medicine together. We invite you to participate actively as a part of the Mount Sinai Health System team by: <ul> <li>Using a lens of equity in all aspects of patient care delivery, education, and research to promote policies and practices to allow opportunities for all to thrive and reach their potential.</li> <li>Serving as a role model confronting racist, sexist, or other inappropriate actions by speaking up, challenging exclusionary organizational practices, and standing side-by-side in support of colleagues who experience discrimination.</li> <li>Inspiring and fostering an environment of anti-racist behaviors among and between departments and co-workers.</li> </ul> We work hard to acquire and retain the best people and to create an inclusive, welcoming and nurturing work environment where all feel they are valued, belong and are able to professional advance. We share the belief that all employees, regardless of job title or expertise contribute to the patient experience and quality of patient care. Explore more about this opportunity and how you can help us write a new chapter in our history! "About the Mount Sinai Health System: Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 43,000 employees working across eight hospitals, more than 400 outpatient practices, more than 300 labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time - discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it. Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients' medical and emotional needs at the center of all treatment. The Health System includes approximately 7,400 primary and specialty care physicians; 13 joint-venture outpatient surgery centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida; and more than 30 affiliated community health centers. We are consistently ranked by U.S. News & World Report's Best Hospitals, receiving high "Honor Roll" status, and are highly ranked: No. 1 in Geriatrics and top 20 in Cardiology/Heart Surgery, Diabetes/Endocrinology, Gastroenterology/GI Surgery, Neurology/Neurosurgery, Orthopedics, Pulmonology/Lung Surgery, Rehabilitation, and Urology. New York Eye and Ear Infirmary of Mount Sinai is ranked No. 12 in Ophthalmology. U.S. News & World Report's "Best Children's Hospitals" ranks Mount Sinai Kravis Children's Hospital among the country's best in several pediatric specialties. The Icahn School of Medicine at Mount Sinai is ranked No. 14 nationwide in National Institutes of Health funding and in the 99th percentile in research dollars per investigator according to the Association of American Medical Colleges. Newsweek's "The World's Best Smart Hospitals" ranks The Mount Sinai Hospital as No. 1 in New York and in the top five globally, and Mount Sinai Morningside in the top 20 globally. The Mount Sinai Health System is an equal opportunity employer. We comply with applicable Federal civil rights laws and does not discriminate, exclude, or treat people differently on the basis of race, color, national origin, age, religion, disability, sex, sexual orientation, gender identity, or gender expression. We are passionately committed to addressing racism and its effects on our faculty, staff, students, trainees, patients, visitors, and the communities we serve. Our goal is for Mount Sinai to become an anti-racist health care and learning institution that intentionally addresses structural racism." EOE Minorities/Women/Disabled/Veterans

Job Details Job Location NEW YORK HEADQUARTERS - NEW YORK, NY Remote Type Hybrid Job Category Insurance Description Position Summary: The purpose of this job is to assist in developing and maintaining advanced analytics tools by utilizing machine learning and predictive analytics techniques. It results in pricing enhancement, early fraud detection, loss control efficiency, customer experience improvement, better broker selection, and better claims reserving. Essential Duties and Responsibilities: <ul><li>Collect, examine, and clean up large sets of data. </li><li>Assist in developing linear predictive models, such as time series, generalized linear model (GLM), and generalized addictive model (GAM). </li><li>Assist in developing machine learning models, such as gradient boosting machine (GBM), XGBoost, natural language processing (NLP), neural network, and random forest, with minimum guidance. </li><li>Assist in implementing and maintaining linear predictive and machine learning models. </li><li>Assist in data collection of special projects and perform additional duties as required, such as aerial images collection for geospatial analysis and research on generative AI application. </li><li>Assist in visualization solutions for monitoring model results and managing portfolio performance. </li><li>Participates in special projects and performs additional duties as required.</li></ul> Qualifications Education and Experience: <ul><li>Bachelor's degree in data science, computer science, mathematics, engineering, or related subject required. Master's degree or above in data science preferred.</li><li>Minimum of 2 years of data science work related experience in data mining and machine learning required.</li><li>Experience with insurance background preferred.</li></ul>Skills: <ul><li>Understanding of predictive modeling algorithms and machine learning techniques.</li><li>Proficiency in manipulating big structured and unstructured data from various sources.</li><li>Proficiency in R, Python, SQL, VBA, Tableau, and Power BI.</li><li>Excellent verbal and written communication skills.</li><li>Excellent adaptability on new technologies and programming skills.</li><li>Ability to understand on business needs and thrives to provide timely solutions.</li><li>Forward thinking on artificial intelligence solutions and implementation.</li></ul> The salary range for this role is $70,200-$128,100. The listed annual salary range posted for this position is subject to change and may vary depending on performance, education, experience, skills, geographic location, travel requirements, demonstrated proficiency in the competencies required for the role and business needs. Base pay is just one component of GNY's total compensation package for employees. Other rewards include eligibility for an annual discretionary bonus based on performance.

About Us: EvolutionIQ's mission is to improve the lives of injured and disabled workers and enable them to return to the workforce, saving billions of dollars in avoidable costs and lost productivity to the US and global economies and make insurance more affordable for everyone. We are currently experiencing massive growth and to accomplish our goals, we are hiring world-class talent who want to help build and scale internally, and transform the insurance space. We're backed by First Round Capital, FirstMark Capital, Foundation Capital, Brewer Lane Ventures, and have been named as Inc.'s top places to work! The Adventure: We're the leading AI Guidance Platform company in the insurance industry today, working with some of the largest insurance companies in the US and expanding globally. We are growing rapidly, having started just four years ago, and have almost tripled our company size this year alone. We excel at converting pilots to production deployments, and we have a unicorn path ahead. Our technology has helped tens of thousands of people. About You: As a data-enthusiast on the team, you serve as the analytics expert for your internal stakeholders, using data & models to help them make better decisions. You thrive in dealing with ambiguous decision-making problems, small & big data modeling and insight generation, both for clients and internal stakeholders. You'll explore and analyze new datasets as we enter new markets and quickly make critical recommendations for your fellow team-mates in Engineering and Product Management. You love diving deep into hard analytical questions, strive in answering ambiguous open ended questions with clear data-driven insights and recommendations. You're supercharged by having interesting, unsolved problems continually present themselves and inform both the technical as well as business side of the business for critical decisions. You demonstrate ownership and leadership to build out the analytical muscle at EvolutionIQ and demonstrate value by clearly shaping the path of new developments and high ROI initiatives. Your Impact: You will work closely with the ML team and Product Managers to improve our team and clients' understanding of claims data; you work closely with business stakeholders to leverage internal data that demonstrates product ROI and give them mission-critical insights to steer the company in new high ROI directions. The ideal candidate will ensure EIQ tells excellent stories through data & modeling that clearly and accurately communicate the impact and ROI of our products internally and externally. Additionally, you will partner with product managers to do rapid iterations on new product ideas, scope the business opportunity of new product features, and measure ROI of ongoing user engagement with a variety of products. What You'll Achieve (Performance Outcomes): <ul><li>Support the decision-making of EvolutionIQ's leadership team in critical recommendations such as which product features we should build as they lead to highest projected ROI or measuring impact of existing product through sophisticated experimental design setups that best leverage the user feedback we have on challenging small data, high variance outcome problems.</li><li>Uncover new product research directions (hypothesis generation) through exploratory data analysis and hypothesis testing.</li><li>Create data insights to win clients by helping define and build the sales & marketing narrative </li><li>Present results to internal stakeholders as well as our clients in the insurance industry</li><li>Generate meta-analysis across clients to drive product & sales strategies</li><li>Build, own, and standardize client-facing analysis and reporting on existing products across multiple clients and ROI dimensions</li><li>Work closely with the ML team to analyze the impact of modeling results, debug data issues, and communicate findings to colleagues and clients.</li><li>Write efficient and reliable relational database queries, create re-usable dashboards, write design documents, write clean & maintainable code for reproducible analytics via CLI tools, perform code reviews, and maintain state-of-the-art engineering practices.</li><li>Continue to grow and learn in the data & analytics space, focusing on business problems that require making sense of large-scale structured and unstructured datasets.</li><li>Oversee the integration of cross-organizational projects, drive improvements and recommendations for your engineering and product counterparts, and define operational goals and objectives.</li><li>Provide direction and accomplish results for business leaders through solving hard measurement problems that impact business bottom line </li></ul> About You (Key Competencies): <ul><li>7+ years of data analysis/quantitative experience, preferably within Machine Learning and Product environments</li><li>At least 2 years experience in mentoring or tech-leading junior analysts and business-critical analytics projects</li><li>Masters degree in statistics or equivalent quantitative field with strong focus on applied, data-driven solutions.</li><li>Sophisticated knowledge of statistics, linear & non-parametric modeling, and advanced SQL engineering experience. </li><li>Designed, implemented, and analyzed A/B or multi-arm experiments with clear recommendations for product direction & development.</li><li>Proficient in the use of Python, pandas, Jupyter notebooks, and SQL-based analytics dashboards (e.g., Google's DataStudio / Looker or Tableau), and familiarity with standard statistical packages and visualization tools in Python. </li><li>Skilled data illustrator who makes market-ready graphs, slides, figures, and presentations</li><li>Excellent communication, storytelling, and presentation skills</li><li>Proven understanding of Product and Business analytics, fundamentals, and processes</li><li>Proven ability to synthesize data insights into actionable recommendations</li><li>Proven ability to handle large datasets via SQL and/or map-reduce analytics and data aggregation as needed.</li></ul> Even Better if You Have: <ul><li>PhD in statistics or related quantitative field with strong focus on applied, data-driven solutions.</li><li>Experience in Bayesian statistics and causal inference methods</li><li>Written production quality code for reproducible analytics pipelines</li></ul> Work-life, Culture & Perks: <ul><li>Compensation: The salary range is 150K - 200K, depending on a candidate's background and experience</li><li>Well-Being: Full medical, dental, vision, short- & long-term disability, 401k matching. 100% of the employee contribution up to 3% and 50% of the next 2%</li><li>Home & Family: Flexible PTO, 100% paid parental leave (4 months for primary caregivers and 3 months for secondary caregivers), sick days, paid time off. For new parents returning to work we offer a flexible schedule. We also offer sleep training to help you and your family navigate life schedules with a newborn</li><li>Office Life: Catered lunches, happy hours, and pet-friendly office space. $500 for your in home office setup and $200/year for upgrades every year after your initial setup</li><li>Growth & Training: $1,000/year for each employee for professional development, as well as upskilling opportunities internally</li><li>Sponsorship: We are open to sponsoring candidates currently in the U.S. who need to transfer their active H1-B visa</li></ul> EvolutionIQ appreciates your interest in our company as a place of employment. EvolutionIQ is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees

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Data Science Analyst Jobs in New York, NY

Data Science Analyst I Personalized MedicineApril 21, 2024

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