שליחת קו"ח למשרה: 0


    * ניתן לצרף רק קבצים מסוג docx, doc ו- PDF* גודל קובץ מקסימאלי 1 mb

    אני מאשר/ת את הצהרת הפרטיות (קישור)

    Deloitte Analytics

    Deloitte Analytics מסתמך על הפעילות והנתונים של הארגון ומפיק מביצועי העבר דרכים לבניית אסטרטגיית המשך. השימוש בנתונים אלו יחד עם הניתוחים הסטטיסטיים וההבנה המגזרית והעסקית שלנו יוצרים מודלי חיזוי, כלי ניהול מוכחים וייעוץ המסייע לארגון בקבלת ההחלטות לעתיד

    Product Architect–ConvergeHEALTH M2M -Deloitte IIH
    ConvergeHEALTH M2M (Spark for Clinical) is an integrated SaaS offering that help leading Life Sciences companies reimagine their Clinical Data Flow capabilities. Through a combination of our industry leading business expertise and our cloud and AI enabled technology platform we are helping our clients achieve the vision of a digital data flow leading to better data quality, improved efficiency, increased transparency and reduction in cycle time.

    In today’s current health crisis, there exists an unmet need to digitize upstream process's (study design and modeling) to drive downstream automation (study conduct and submission). Our product is at the cutting edge of leveraging AI, advanced analytics, and user focused design to help bring therapies faster to patients.

    Come join us and help us change the world of Medicine Development!

    High Level Role

    As a product architect, you will play a critical role in designing, building, supporting, and delivering a series of technology applications that re-imagine the clinical data flow and help bring therapies faster to patients.

    • Own overall product architecture and ensure component reuse across ConvergeHealth suite of products.

    • Collaborate with various stakeholders, understand business problem, and arrive at futuristic technology blueprint - modular, interoperable, and intelligent

    • Design, document, and develop world class applications leveraging the full spectrum of front-end and back-end technologies and cutting-edge design patterns

    • Work with data science and data engineering teams to integrate AI and Machine Learning models into the software application and the user interface

    • Mentor and assist with training junior architects and developers

    Minimum Qualifications

    • Bachelor's Degree in a relevant field from a top-tier university; Advanced Degree is a plus – equivalent work experience may act as a substitute to degree requirements

    • 14+ years of hands-on experience developing cloud-based enterprise web applications or system integration with a focus on back-end services, API development, and system integration.

    • Proven experience designing and building SPA web applications using frameworks such as React (preferred) etc.

    • Proven experience engineering and developing micro-services and APIs using NodeJS or Java/Spring Framework

    • Proven experience leveraging AWS cloud-native technologies, with specific focus on:

    o AWS EC2, RDS, Neptune, Lambdas, S3, SNS/SQS, IAM, Cognito, Athena, and Glue

    • Demonstrable experience designing data models in sql/ no-sql databases.

    • Proven experience with graph technologies (Semantic, LPG) with an emphasis on ontology development and linked (external and internal) data sets. A general understanding of ETL pipelines.

    • Full-Stack web application development experience

    • Deep experience designing modular, object-oriented programming

    • Excellent problem identification, analysis, and solving skills; an innate ability to utilize all resources at your disposal to find a creative solution to a problem, whether business/functional or technical in nature

    • A desire to take initiative and continuously work on improving the products you are responsible for.

    • Experience working in an Agile development environment

    • Hands-on experience with full suite of software lifecycle tools (Jira, Git/Stash, Jenkins, Artifactory, etc.)

    • Excellent conversational and written communication skills

    • Willingness to travel (25%) periodically – as future will allow given current COVID19 restrictions

    Preferred Qualifications:

    • Experience with containerization (Docker/Kubernetes) and application security (OAuth2/SAML)

    • Experience with a visualization/charting framework and scripting languages such as Python or R

    • Familiarity with clinical trial related patient data (e.g., eDC, eCOA, Connected Devices, Clinical MDRs etc.) and a general interest in the life sciences industry with focus on medicine development.

    Data science Innovation Leader
    Role Description:

    The data science innovation leader will be a pivotal stakeholder in the foundation of Deloitte Israel Innovation Hub. They will be responsible for collaborating with Deloitte leaders and practitioners, client executives, and other stakeholders to apply their expertise in creating unique solutions based on data science for the business needs of our clients.

    The role will focus on the life sciences and healthcare space (LSHC), and deep expertise in applying data science to that space is critical. In addition, with an important goal of the Israel Innovation Hub being to build innovative assets and solutions that Deloitte can take to market, a key part of the role will include ideating, building and delivering the next-gen of technology solutions innovation for the firm.

    Responsibilities:

    • Define innovative data science led approaches and models to solve complex business problems in LSHC

    • Lead teams to analyze data and find meaningful patterns in data to drive optimization and improvement of product development, marketing techniques, business strategies, etc.

    • Develop and/or utilize processes and tools to monitor and analyze model performance and data accuracy, assess new data sources and data gathering techniques, etc.

    • Drive innovative thinking and approach to broader marketplace challenges and initiate the buildout of large-scale technology assets

    Required:

    • 10+ years' experience in the Life Sciences/ Healthcare industries

    • 10+ years' experience leading/performing data science based analysis

    • Understanding of R, SQL and Python and IDE based statistical programming languages; familiarity with Scala, Java,C++, or other similar technological support languages

    • Experience using statistical computer languages (R, Python, SLQ, etc.) to prepare data for analysis, visualize data as part of exploratory analysis, generate features, and other similar data science driven data handling

    • Knowledge of and experience working with data architectures, data models, and data security and data governance

    • Analytical mind with proven ability to dissect problems, devise data science solutions, and drive business outcomes

    • Excellent communication and presentation skills

    Preferred:

    • MS/MA in Applied Mathematics, Machine Learning, Computer Science, Engineering or relevant field;

    • Prior professional services or consulting experience

    • Team management experience

    • Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.

    • Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.

    • Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.

    Sr. Product Engineer, Full Stack For Deloitte IIH
    Sr. Product Engineer, Full Stack Developer – ConvergeHEALTH, Deloitte Consulting, LLP

    Overview

    ConvergeHEALTH is Deloitte Consulting’s healthcare innovation and technology product arm and is committed to creating health care ecosystem that connect Life Sciences companies, patients, providers, researchers, regulators, and payors across digital platforms to make value-based, personalized health care a reality.

    As a Product Engineer working on our Connect for Life Sciences product, you will play a critical role in designing, building, supporting, and delivering our patient engagement platform that re-imagine the way patient services is delivered by Life Sciences Companies.

    The right candidate will help us design and develop these products in detail, work with product management teams and architects to develop detailed technical specifications and architecture.

    Key Responsibilities:

    • Participate in and drive end-to-end development lifecycle activities of the application, including design, coding, testing and deployment activities

    • Participate in peer code reviews to ensure that all solutions are aligned to pre-defined architectural specifications, identify/troubleshoot code-related issues, and review and provide feedback

    • Demonstrate strong technical and leading skills with ability to handle multiple activities in a dynamic and energizing environment

    • Understand and comply with the established agile development methodology

    • Proactively identify opportunities for code/process/design improvements

    We Expect You to Have:

    • Strong experience with AWS Services like S3, Lambda, Step Functions, SNS, SQS, DynamoDB, RDS, Kinesis, Redshift, VPC, Textract, Lex, Amazon Connect, Amazon CloudWatch, Amazon Pinpoint etc.

    • Strong understanding of microservices and serverless architectures

    • Experience with writing Web services, preferably RESTful services exposing JSON

    • Good understanding of application security and related frameworks or protocols, such as OAUTH, SAML

    • Strong development experience with one of the programming languages, such as Java, JavaScript (NodeJS), and SQL

    • Strong knowledge of relational and NoSQL databases

    • Strong knowledge of CI tools such as Jenkins, distributed version control tools such as GIT, build tools such as Gradle, and issue tracking tools such as JIRA

    • Self-Starter, ability to work well independently, good problem-solver, strong analytical and organizational skills

    • Must be logical, flexible, and have effective written and oral communication skills

    We’d Like You to Have:

    • Experience working with Life Sciences or Healthcare solutions.

    • Experience in agile software development methodology, and use of agile software development productivity tools (i.e. JIRA, Confluence)

    • Ability to juggle many competing priorities/deadlines.

    Data Scientist for Deloitte Analytics
    ליחידת אנליטיקס ב Deloitte דרושים Data Scientists מנוסים עם ראיה עסקית לטובת הובלת פרויקטים של מידול ומחקר.

    העבודה כוללת פיתוח והטמעה של פתרונות אנליטיים מבוססי שיטות מתקדמות ב Data Science, לצורך תמיכה בהחלטות עסקיות ובפיתוח פתרונות תפעוליים.

    התפקיד דורש ידע מקצועי והובלה של פרויקטים לצד יכולת ארגון ותקשורת טובה עם לקוחות ואנשי הצוות

    מהן הדרישות?

    תואר ראשון במסלול עם מיקוד אנליטי דוגמת מדעי המחשב/ מדעים מדויקים/ תעשיה וניהול/סטטיסטיקה/מתמטיקה/ או כל תואר רלוונטי - יתרון לבעלי תואר שני

    לפחות 2 שנות ניסיון בעבודה עם נתונים: ניתוח תיאורי, בניית מודלים והטמעת פתרונות

    ידע מעמיק בשימוש באלגוריתמים אנליטיים דוגמת Machine Learning/Deep Learning

    ניסיון מוכח בבניית מודלים ב Python, R

    ידע וניסיון בשפת SQL , כתיבת שאילתות מסובכות ובניית קבצי מחקר

    יכולת התנהלות באנגלית- חובה

    יתרון:

    ידע ב NLP/Text Analytics

    ניסיון בSPSS/SAS/KNIME / כלי סטטיסטי אחר

    ניסיון עבודה בסביבת Google Cloud/ AWS/AZURE

    ידע מקורסים בשיטות מחקר-

    נא לשלוח קורות חיים באנגלית

    העבודה במשרה מלאה במשרדי Deloitte במגדלי עזריאלי, תל אביב.

    אנו ב- Deloitte מאמינים כי גיוון והכלה בקרב אנשינו הוא מרכיב קריטי בהצלחה שלנו ולכן אנו מטפחים תרבות ארגונית שמכילה ומאמצת גיוון על כל צורותיו.   

    Business Consultant
    Business Consultant

    Description:

    We are seeking highly motivated individuals, who aspire to solve some of the most fascinating business challenges using data and analytics. Our clients come from a wide range of industries and organizations across the globe.

    We offer you a client-facing, dynamic, and challenging role in analytic consulting.

    You will be an integral part of a team, with full responsibilities and dedicated tasks from day one. You will serve as a pivot point between the technical analytic team, the busines team and the client.

    The nature of our work varies greatly, and you will be exposed to different areas of analytic consulting.

    This could mean analyzing the competitive landscape to support data strategy initiatives, considering how to improve efficiencies and budget allocation using data driven approach, or predicting a customer's value for a leading commercial bank.

    Why Deloitte Analytics?

    • Dynamic, inclusive, and professional work environment

    • Opportunity to make a real impact – using data to improve business KPI's

    • Gain experience within a top global consulting firm

    • Work with prominent companies locally and across the globe

    RESPONSIBILITIES

    From your first day as a business consultant, you will be part of a diverse team with technical and business functions. You will break down some of the most complex problems global organizations face and advise clients on their most critical decisions.

    You will attend face to face meeting with the client and will have a major influence on the outcome of our work and the deliverables presented.

    QUALIFICATIONS

    What do we look for?

    Deloitte Analytics is seeking exceptional candidates who make an impact on everything they do.

    We recruit recent undergraduates and Masters with an excellent educational track record.

    We focus on the following attributes:

    • Advanced analytical skills

    • "Out of the box" thinking

    • Excellent communication capabilities

    • Team players

    • Self-motivated

    • Curious and autodidact

    • High English proficiency is required, other languages – advantage

    • Background in data, analytics, and relevant tools (SQL, Paython, PowerBI etc.) - a huge plus

    At Deloitte, we believe that an inclusive mindset and diverse workforce are two of our greatest competitive strengths.

    That’s why we continue to reinforce our commitment to foster inclusion.

    Product Development Manager -ConvergeHEALTH M2M
    ConvergeHEALTH M2M (Spark for Clinical) is an integrated SaaS offering that help leading Life Sciences companies reimagine their Clinical Data Flow capabilities. Through a combination of our industry leading business expertise and our cloud and AI enabled technology platform we are helping our clients achieve the vision of a digital data flow leading to better data quality, improved efficiency, increased transparency and reduction in cycle time. In today’s current health crisis, there exists an unmet need to digitize upstream process's (study design and modeling) to drive downstream automation (study conduct and submission). Our product is at the cutting edge of leveraging AI, advanced analytics, and user focused design to help bring therapies faster to patients. Come join us and help us change the world of Medicine Development!

    High Level Role

    As a product development manager, you will lead teams to build and enhance our newest product suite and applications to digitize clinical data flow with a specific focus on leveraging cloud technologies to add advanced capabilities and improve application efficiency. This role will be a senior position managing development teams. There’s an expectation this role will be involved in development at varying levels of detail, from working with product owners to identify requirements and translating documented user stories and requirements into technical approach, to spending time “hands in code” building out functionality, overseeing sprint planning and ongoing development and deliverables, maintaining product quality, and meeting deadlines.

    ·Own the overall execution of the product roadmap, as defined, and envisaged by product management stakeholders.

    Lead a multi-functional and multi-geographical team across the product lifecycle from requirement identification through execution

    Work with internal engineering team/product development on product build lifecycles, assist in tasks necessary to make a developed product market ready

    Take a high-level idea or requirement, and engage with various stakeholders to scope out the idea (including detailed requirements, mockups, prototypes, etc.) to a level of detail needed for engineering teams to go through development

    ·Provide timely reporting of progress to senior management/ stakeholders

    Minimum Qualifications

    · Bachelor's Degree in a relevant field from a top-tier university; Advanced Degree is a plus – equivalent work experience may act as a substitute to degree

    requirements

    ·12+ years of hands-on experience developing web based, cloud and enterprise applications

    ·3+ years in a project leadership capacity, leading development teams and managing workstreams

    Experience leading teams building API & microservice based applications and single page applications,

    Demonstrated success in designing/developing restful APIs & microservice based systems using Java, Spring Framework, and cloud-native services. Proven knowledge of inter micro-service communication and security

    ·Proven experience leveraging AWS cloud-native technologies, with specific focus on:

    o AWS EC2, RDS, Neptune, Lambdas, S3, SNS/SQS, IAM, Cognito, Athena, and Glue

    · Experience designing data models in sql/ no-sql databases.

    · Extensive experience developing single page, responsive desktop web applications using the following tools: ReactJS, and NodeJS.

    Experience leading teams in a fast paced Agile SDLC environment with knowledge of Scrum principles and ceremonies

    Experience with CI/CD pipelines, version control, code branching, and unit, integration, and regression testing

    Experience in a highly collaborative environment working with product owners and business analysts to identify, interpret, and translate functional requirements to user stories. Ability to work with the development team to build complicated solutions to fulfill those requirements.

    Ability to communicate progress to senior leadership, identify potential issues or roadblocks, escalate issues, and drive them to a resolution in a heavily matrixed environment

    ·Highly self-motivated, energetic, passionate team-oriented personality and working style

    ·Willingness to travel (25%) periodically – as future will allow given current COVID19 restrictions

    Preferred Qualifications

    ·Experience in new product development from ideation through implementation and maintenance

    ·Familiarity with clinical trial related patient data (e.g., eDC, eCOA, Connected Devices, Clinical MDRs etc.) and a general interest in the life sciences industry with focus on medicine development.

    ·Familiarity with graph technologies (Semantic, LPG) with an emphasis on ontology development and linked (external and internal) data sets. A general understanding of ETL pipelines.

    ·Ability to juggle many competing priorities/deadlines

    How you’ll grow

    At Deloitte, our professional development plan focuses on helping people at every level of their career to identify and use their strengths to do their best work every day. From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to help sharpen skills in addition to hands-on experience in the global, fast-changing business world. From on-the-job learning experiences to formal development programs at Deloitte University, our professionals have a variety of opportunities to continue to grow throughout their career. Explore Deloitte University, The Leadership Center.

    Senior Data Engineer for Deloitte IIH
    At Human Experiences (Hux), we aim at delivering elevated human experience by re-inventing digital advertising & marketing, powered by data, AI/ML and content. With customer data as the foundation, we help clients deliver dynamic, personalized customer experiences across all engagement channels using machine learning and artificial intelligence.

    Work you’ll do:

    As a Senior Data Engineer, you will take the lead on developing and deploying transformational AI capabilities for large clients. You’ll combine leading open-source tooling and techniques with a suite of customer experience libraries and solutions, which automate the management of cross-channel communications with consumers for large clients. This includes integrating multiple terabytes of data across business units in a low latency and auto-scaled environment. If you have deep experience in automating and deploying data pipelines and workflows, we want to hear from you!

    Your responsibilities will include:

    • Lead cross-functional initiatives working with multiple, distributed teams

    • Design, build and support scalable data pipelines, systems and APIs for AdTech and MarTech products

    • Produce high quality code that is robust, efficient, testable and easy to maintain

    • Deliver operational automation and tooling to minimize repeated manual tasks

    • Participate in code reviews, give actionable feedback, and mentor junior team members

    • Influence product and cross-functional teams to identify data opportunities to drive impact

    Minimum Qualifications:

    · Bachelor's or master’s degree in Computer Science or related technical field, or equivalent practical experience

    · 7+ years of software development experience in Python (preferred), Java, or equivalent technologies

    · Skilled at designing and building highly scalable data pipelines

    · Knowledge and experience of working with large datasets

    · Proven track record of working with cloud technologies (AWS, GCP, Azure, etc.)

    · Experience with modern software development practices, leveraging CI/CD and containerization

    · Self-driven with a passion for learning and implementing new technologies

    · A history of working collaboratively with a cross-functional team of engineers, data scientists and product managers

    Preferred Qualifications:

    · Experience with big data frameworks (Spark, etc.)

    · Knowledge of and interest in data science & machine learning

    · Experience with data warehouses (Snowflake, etc.)

    · Experience backend infrastructure and pipelines

    · Knowledge of distributed systems

    · Experience working in a product engineering environment

    Senior Engineer- ConvergeHEALTH M2M- Deloitte IIH
    ConvergeHEALTH M2M (Spark for Clinical) is an integrated SaaS offering that help leading Life Sciences companies reimagine their Clinical Data Flow capabilities. Through a combination of our industry leading business expertise and our cloud and AI enabled technology platform we are helping our clients achieve the vision of a digital data flow leading to better data quality, improved efficiency, increased transparency and reduction in cycle time.

    In today’s current health crisis, there exists an unmet need to digitize upstream process's (study design and modeling) to drive downstream automation (study conduct and submission). Our product is at the cutting edge of leveraging AI, advanced analytics, and user focused design to help bring therapies faster to patients. Come join us and help us change the world of Medicine Development!

    High Level Role

    As an engineering leader, you will lead teams to build and enhance our newest product suite and applications to digitize clinical data flow with a specific focus on leveraging cloud technologies to add advanced capabilities and improve application efficiency. This role will be a senior position managing development teams. There’s an expectation this role will be involved in development at varying levels of detail, from working with product owners to identify requirements and translating documented user stories and requirements into technical approach, to spending time “hands in code” building out functionality, overseeing sprint planning and ongoing development and deliverables, maintaining product quality, and meeting deadlines.

    · Work very closely with Product Development Manager and co-own the overall execution of the product roadmap, as defined, and envisaged by product management stakeholders.

    Lead a multi-functional team across the product lifecycle from requirement identification through execution

    Work with internal engineering team/product development on product build lifecycles, assist in tasks necessary to make a developed product market ready

    Take a high-level idea or requirement, and engage with various stakeholders to scope out the idea (including detailed requirements, mockups, prototypes, etc.) to a level of detail needed for engineering teams to go through development

    · Provide timely reporting of progress to senior management/ stakeholders

    Minimum Qualifications

    · Bachelor's Degree in a relevant field from a top-tier university; Advanced Degree is a plus – equivalent work experience may act as a substitute to degree requirements

    · 10+ years of hands-on experience developing web based, cloud and enterprise applications, ideally with experience centered around the healthcare industry (health insurance or providers)

    · 3+ years in a project leadership capacity, leading development teams and managing workstreams

    Experience leading teams building API & microservice based applications and single page applications,

    Demonstrated success in designing/developing restful APIs & microservice based systems using Java, Spring Framework, and cloud-native services. Proven knowledge of inter micro-service communication and security

    · Proven experience leveraging AWS cloud-native technologies, with specific focus on:

    o AWS EC2, RDS, Neptune, Lambdas, S3, SNS/SQS, IAM, Cognito, Athena, and Glue

    · Experience with graph technologies (Semantic, LPG) with an emphasis on ontology development and linked (external and internal) data sets. A general understanding of ETL pipelines.

    · Extensive experience developing single page, responsive desktop web applications using the following tools: ReactJS, JavaScript and NodeJS.

    Experience leading teams in a fast paced Agile SDLC environment with knowledge of Scrum principles and ceremonies

    Experience with CI/CD pipelines, version control, code branching, and unit, integration, and regression testing

    Experience in a highly collaborative environment working with product owners and business analysts to identify, interpret, and translate functional requirements to user stories. Ability to work with the development team to build complicated solutions to fulfill those requirements.

    Ability to communicate progress to senior leadership, identify potential issues or roadblocks, escalate issues, and drive them to a resolution in a heavily matrixed environment

    · Highly self-motivated, energetic, passionate team-oriented personality and working style

    Preferred Qualifications

    · Experience in new product development from ideation through implementation and maintenance

    · Familiarity with clinical trial related patient data (e.g., eDC, eCOA, Connected Devices, Clinical MDRs etc.) and a general interest in the life sciences industry with focus on medicine development.

    · Ability to juggle many competing priorities/deadlines

    How you’ll grow

    At Deloitte, our professional development plan focuses on helping people at every level of their career to identify and use their strengths to do their best work every day. From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to help sharpen skills in addition to hands-on experience in the global, fast-changing business world. From on-the-job learning experiences to formal development programs at Deloitte University, our professionals have a variety of opportunities to continue to grow throughout their career. Explore Deloitte University, The Leadership Center.