Position Description: Mathematica applies expertise at the intersection of technology, data, methods, policy, and practice to improve well-being around the world. We collaborate closely with public- and private-sector partners to translate big questions into deep insights that improve programs, refine strategies, and enhance understanding using technology and advanced analytics. Our work yields actionable information to guide decisions in wide-ranging policy areas, from health, education, early childhood, and family support to nutrition, employment, disability, and international development. Mathematica offers our employees competitive salaries, and a comprehensive benefits package, as well as the advantages of being 100 percent employee owned. As an employee stock owner, you will experience financial benefits of ESOP holdings that have increased in tandem with the companys growth and financial strength. You will also be part of an independent, employee-owned firm that is able to define and further our mission, enhance our quality and accountability, and steadily grow our financial strength. Read more about our benefits here: https://www.mathematica.org/career-opportunities/benefits-at-a-glance Mathematica is seeking a Data Platform Engineer to join the Health Units Health Solutions Insights (HSI) team. Were looking for team members who want to apply their technical skills to shape an equitable and just world, where evidence drives decisions for global impact in healthcare. Examples of recent work completed by this team include: <ul> <li>As part of the AI Health Outcomes Challenge held by Centers for Medicare and Medicaid Services, members of this team developed a cloud data pipeline and machine learning architecture to make predictions with a large multiyear sample of Medicare beneficiaries with detailed claims data about millions of people. Mathematicas team reached the second round of the competition, with only six other teams, out of over 300 original entrants. </li><li>As part of a states efforts to support citizens with disabilities, Mathematica brought together a variety of data sources, developed specific monitoring measures, and designed a dashboard. The dashboard is designed to show measure results and trends to clearly identify areas of success and opportunities for improvement to help the state achieve its goals with evidence-based decision making. </li><li>Developed applications and extract, transform, and load (ETL) processes to support a variety of health policy implementation and monitoring programs. One such program was the Capacity Building for Public Health Analysts in the Overdose Response Strategy, where the team designed, developed, and secured a cloud-based, web application to streamline data collection, management, and reporting for the public health-public safety collaboration to reduce drug overdoses. </li></ul> Position Requirements: Responsibilities: <ul> <li>Provide technical leadership to multidisciplinary teams combining data analytics, visualization, and development of analytics products such as interactive dashboards and data driven applications. </li><li>Lead the design of data pipelines and perform analytics involving large administrative data sources such as state Medicaid claims and APCDs, as well as clinical data sources such as EHRs and HIEs, to effectively answer research questions about health care policy. </li><li>Incorporate client and other stakeholder needs into solution design, communication planning, and project scope. </li><li>Develop a budget and staffing plan to produce the required solutions in context of internal / external constraints and Mathematica's contractual and regulatory requirements. </li><li>Evaluate internal project functions and processes and suggest improvements. </li><li>Collaborate across internal technology, analytics, and advisory services teams. </li><li>Actively support the advancement of organizational diversity, equity, and inclusion efforts, and apply diversity, equity, and inclusion lens across job responsibilities. </li><li>Interface with clients for 25% or more of your time (with occasional in-person meetings). </li><li>Apply excellent critical thinking and problem-solving abilities to mitigate project risk. </li><li>Contribute to the growth of the business through significant proposal contributions (expressions of interest, planning / design, content, budget staffing, successfully directing projects, etc.) </li></ul> Requirements: At least 5 years of relevant experience demonstrating: <ul> <li>Hands on development with Amazon Web Services (AWS) services commonly used by our team including RDS, Lambda, S3, API Gateway, and SageMaker </li><li>In-depth programming in Python and SQL in a professional environment </li><li>Strong database, data warehousing, and data modeling skills </li><li>Extract Transform and Load (ETL) and automation experience </li><li>System development lifecycle (SDLC), Agile Development, DevSecOps, and common software development tools such as Git and Jira </li><li>Excellent written and oral communication skills to convey key choices, recommendations, and technology concepts to technical and non-technical audiences. </li><li>Infrastructure as Code (IaC) technologies such as AWS CloudFormation or Terraform </li></ul> At least 1 years of relevant experience with big data technologies including: <ul> <li>Spark, the Spark ecosystem, and related tools like Databricks and Azure Synapse Notebooks </li><li>Snowflake, including ETL, performance tuning, and cost optimization </li></ul> Desired Skills: <ul> <li>Microsoft Azure, particularly Azure Synapse Analytics, Azure Data Factory and/or Azure Data Pipeline </li><li>Healthcare Interoperability Standards and Technology, such as HL7, FHIR, Intersystems Iris for Health, Rhapsody, MirthConnect </li><li>The Serverless Framework </li><li>Docker orchestration tools, like Docker Compose or Kubernetes </li><li>Commercial data warehouse/ ETL tools such as, Talend, Informatica, Apache Airflow, etc. </li><li>Additional programming languages common at Mathematica like .NET, JavaScript, TypeScript, or R </li><li>Conceptual and practical knowledge of healthcare data (e.g. clinical data, commercial claims, hospital claims, Medicare, Federal Medicaid (T-MSIS, TAF), State Medicaid, HL7-FHIR), healthcare informatics, or healthcare claims processing </li><li>A demonstrated history of working collaboratively with clients to achieve project goals and / or leading technical teams </li><li>Previous experience working or collaborating on Data Analytics or Data Science projects or initiatives </li></ul> This position offers an anticipated annual base salary range of $110,000 - $140,000.This position is eligible for a discretionary bonus based on company and individual performance. To apply, please submit cover letter, resume, coding sample, location preferences, and salary requirements via our online employment website. STAFFING AGENCIES AND THIRD-PARTY RECRUITERS: Mathematica is not accepting candidates for this role or any technical role from staffing agencies or third-party recruiters. Please do not contact technical or senior staff at Mathematica or share unsolicited resumes. All agency inquiries go through the talent acquisition team and will be routed accordingly. Staff in our Health unit will eventually work with our largest client, Centers for Medicaid & Medicare Services (CMS). Most staff working on CMS contracts will be required to complete a successful background investigation including the Questionnaire for Public Trust Position SF-85. Staff that are unable to successfully undergo the background investigation will need to be able to obtain work outside CMS. Staff will work with their supervisor to get re-staffed, however if they are unable to do so it may result in employment termination due to lack of work. Available Locations: Washington, DC; Princeton, NJ; Remote #remote-usa #LI-AR1 We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.

Working with Us Challenging. Meaningful. Life-changing. Those aren't words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You'll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams rich in diversity. Take your career farther than you thought possible. Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us. Position Summary As a Senior Data Platform Engineer, you will play a vital role in supporting the broader Data Engineering community to deliver cutting-edge data and analytics platforms for our Research & Development group. We seek a candidate who excels at creating innovative, reliable, secure, and easy-to-use data infrastructure for ingesting, storing, processing, governing and interacting with data. You will collaborate closely with data scientists, analysts, and data engineers to support various data-driven initiatives and enhance our overall data ecosystem. Additionally, you will leverage Generative AI (GenAI) technologies to drive innovation and efficiency within our data platforms. Be part of our exciting Data Platform journey. Key Responsibilities <ul><li>Define and implement end-to-end R&D data platform capabilities aligned with business objectives, considering data variety, discovery & consumption needs, latency requirements, and access governance.</li><li>Design and develop data APIs and automate the registration and discovery of data products and their metadata, adhering to open data product specifications</li><li>Partner with data product owners, engineers, and data scientists to develop GenAI and LLM-powered applications (Chat with Data), leveraging techniques like RAG, fine-tuning, and vector embeddings to deliver high-quality data discovery & consumption features.</li><li>Deep understanding of the GenAI Tech Stack, including its architecture, components, and capabilities.</li><li>Develop and Maintain CI/CD workflows and tools for efficient code and infrastructure deployment.</li><li>Ensure accessibility of data products with appropriate security controls across all computational platforms (e.g., Domino, R-Shiny, Tableau, and SuperPOD), fostering a secure and interconnected ecosystem.</li><li>Collaborate with stakeholders and cross-functional leaders in data engineering, data product teams, and data operations to ensure the effective adoption of our Data Platform.</li><li>Provide guidance and establish processes to ensure engineering excellence, efficiency, and operational sustainability of our platform.</li><li>Continuously optimize the data platform for performance, scalability, and cost-effectiveness using techniques such as parallel processing, caching, and partitioning.</li><li>Design and develop new data solutions to accelerate data usage across R&D, ensuring robustness and scalability.</li><li>Participate in data product design reviews to ensure efficient and secure data usage.</li><li>Stay updated with emerging technologies, trends, and best practices in data discovery & consumption to enhance our data infrastructure.</li></ul> Qualifications & Experience <ul><li>7-10+ years of hands-on experience implementing and operating data capabilities and cutting-edge solutions in a cloud environment, with expertise in data lakehouses, master/reference data management, data quality, and analytics/AI ML.</li><li>In-depth knowledge and hands-on experience with AWS Glue services and the AWS Data Engineering & Analytics ecosystem.</li><li>Strong understanding of RAG, fine-tuning, vectorization, and prompt engineering techniques for optimizing LLM performance.</li><li>Hands-on experience developing DataOps and ETL solutions using AWS data services (e.g., Redshift, RDS, Athena, Lake Formation), Cloudera Data Platform, and Tableau Labs.</li><li>5+ years of experience in data platform engineering or software development.</li><li>Proficiency in creating and maintaining optimal data pipeline architecture for large, complex datasets.</li><li>Strong programming skills in Python, R, PyTorch, PySpark, Pandas, Scala, etc.</li><li>Experience with SQL and database technologies such as OpenSearch, MySQL, PostgreSQL, Presto, etc.</li><li>Proficient in implementing, integrating, and managing LLMs, with a deep understanding of their capabilities and applications.</li><li>Experience with cloud platforms (e.g., Azure, Google Cloud), orchestration engines (e.g., Airflow), and containerization technologies (e.g., Docker, Kubernetes) is advantageous.</li><li>Excellent communication and collaboration skills, with functional knowledge or prior experience in the Life Sciences Research and Development domain considered a plus.</li><li>Demonstrated ability to improve processes, structures, and knowledge, providing strong recommendations and executing complex solutions effectively.</li></ul> #LI-Hybrid If you come across a role that intrigues you but doesn't perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career. Uniquely Interesting Work, Life-changing Careers With a single vision as inspiring as "Transforming patients' lives through science™ ", every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in an inclusive culture, promoting diversity in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues. On-site Protocol BMS has a diverse occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role: Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function. BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com. Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement. BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters. BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area. Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.

Data Platform Engineer Jobs in Princeton, NJ

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August 20, 2024

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August 15, 2024

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Data Platform Engineer Jobs in Princeton, NJ

Data Platform Engineer Remote EligibleAugust 20, 2024

Senior Data Platform Engineer Rd Data PlatformsAugust 15, 2024

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Data Platform Engineer Remote Eligible
August 20, 2024

Senior Data Platform Engineer Rd Data Platforms
August 15, 2024