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Company Profile:

Mango Sciences is an AI driven data aggregation and analytical engine providing end-to-end hospital-based analytics focusing on operational efficiencies and quality of care. With this capability, Mango Sciences is currently embedded in more than 350 different hospitals & clinics covering ~ 28 million lives in India.

Mango Sciences has ambitious plans to continue investing and building healthcare capacity across Africa and South Asia. This encompasses the dual mission of serving the healthcare needs of the population by improving the population’s access to quality healthcare, whilst catalysing engagement with Life Science Companies. The objective is to build a longitudinal patient record, from a patient’s DNA, all the way to their consumption and shopping habits across India and emerging markets. Our aim is to unlock insights into human populations never studied before with the power of data.

Working at Mango Sciences means being entrepreneurial, thinking big, and working together to make the impossible a reality. We are inspired by the things that seem impossible. At Mango Sciences, we see the impact of our collective ideas and expertise, and the power of science to deliver them.

We know that meaningful results require not only the right approach but also the right people. We invite you to reimagine healthcare with us. You will have the opportunity to play an important role in helping our clients drive healthcare forward and ultimately expand access to healthcare and improve patient health outcomes.

Position Summary:

To deliver on our mission of improving healthcare access and quality, we are looking for an experienced Real-World Evidence (RWE) Analyst to join our small, fast-growing team.

The RWE Analyst serves on a project team that leverages our industry-leading healthcare data to deliver clinical insights to our clients in the pharmaceutical industry. In this role, the analyst will be involved in all aspects of the project, starting from analysis design through to execution and delivery. The RWE Analyst will be part of an agile data science team, with the excitement, pace, and development opportunities that come with working in an early-stage company.

Position Responsibilities:

  • Assist in the design of retrospective and prospective research, including epidemiological and patient outcomes studies.
  • Contribute to problem solving discussions by clearly defining the issues and offering solutions.
  • Manage the day-to-day execution of workstreams, liaising frequently with the data engineering team on analytical requests.
  • Provide timely updates to the management and leadership teams.
  • Perform in-depth research and quantitative & qualitative analysis, guided by both project objectives and intellectual curiosity.
  • Review analytical outputs for quality assurance and research published studies for points of triangulation and context.
  • Synthesise and present findings, both verbally and through written means (e.g., slides, documents, etc).
  • Develop standards and best practices for future analyses.

Position Requirements:

  • Undergraduate or post-graduate (MS or PhD) degree in a quantitative, analytical discipline such as epidemiology, (bio) statistics, data science, engineering, econometrics, or operations research.
  • 4-6 years of relevant work experience, with evidence of:
    • Strong analytic work and problem-solving skills.
    • Research aimed at the needs of the pharmaceutical/biotech industry.
  • Combination of technical skills (SQL and R/Python/Other) and industry knowledge (healthcare/medical and pharmaceutical).
  • Experience performing workstream/project management activities.
  • Excellent communication (written and verbal), interpersonal skills, and ability to foster collective partnerships.
  • Strong attention to detail.
  • Proficiency with Microsoft products (Excel, PowerPoint, and Word).

Other Skills:

  • Dedication to teamwork with a demonstrated ability to collaborate across functions.
  • Desire to help shape and grow the RWE analytics function.
  • Track record of innovation with the vision and entrepreneurial spirit to take on a key role in a small, fast-growing company.

Values:

  • Commitment to Excellence
  • Do GREAT Attitude
  • Honesty & Integrity
  • Perseverance
  • Respect

Company Profile:

Mango Sciences is an AI driven data aggregation and analytical engine providing end-to-end hospital-based analytics focusing on operational efficiencies and quality of care. With this capability, Mango Sciences is currently embedded in more than 350 different hospitals & clinics covering ~ 28 million lives in India.

Mango Sciences has ambitious plans to continue investing and building healthcare capacity across Africa and South Asia. This encompasses the dual mission of serving the healthcare needs of the population by improving the population’s access to quality healthcare, whilst catalysing engagement with Life Science Companies. The objective is to build a longitudinal patient record, from a patient’s DNA, all the way to their consumption and shopping habits across India and emerging markets. Our aim is to unlock insights into human populations never studied before with the power of data.

Working at Mango Sciences means being entrepreneurial, thinking big, and working together to make the impossible a reality. We are inspired by the things that seem impossible. At Mango Sciences, we see the impact of our collective ideas and expertise, and the power of science to deliver them.

We know that meaningful results require not only the right approach but also the right people. We invite you to reimagine healthcare with us. You will have the opportunity to play an important role in helping our clients drive healthcare forward and ultimately expand access to healthcare and improve patient health outcomes.

Position Summary:

To deliver on our mission of improving healthcare access and quality, we are looking for an experienced Data Scientist to join our small, fast-growing team.

The Data Scientist serves on a project team that leverages our industry-leading healthcare data to deliver clinical insights in engagements with healthcare providers and Life Sciences Companies. In this role, he/she will be part of an agile data science team, with the excitement, pace, and development opportunities that come with working in an early-stage company.

Position Responsibilities:

  • You will be part of a high-impact team leveraging Mango’s proprietary healthcare platform and data to build prediction models, with a primary focus on clinical risk/outcomes predictions.
  • Contribute to problem solving discussions by clearly defining the issues and recommending the appropriate deep learning/machine learning techniques to use, given the goals, and scope of the research question.
  • Build and evaluate prediction models, providing written and verbal assessments to both internal and external stakeholders.
  • Provide timely updates to the management and leadership teams.

Position Requirements:

  • Degree in Data Science, Computer Science, Statistics, or a related field of study.
  • 3-5 years of prediction modelling work experience, with evidence of:
    • Mandatory experience in using both deep learning (CNN, RNN, and GAN, at a minimum) and traditional machine learning/statistical approaches (logistic regression, SVM, and random forest, at a minimum).
    • Up to date with recent developments in deep/machine learning and are familiar with current trends in the wider data science communi
  • Strong scripting and programming skills in Python (required), R, or similar languages.
  • Healthcare industry knowledge (medical and pharmaceutical) is preferred.
  • Experience in building models from scratch and working with structured and unstructured data.
  • Excellent communication (written and verbal), interpersonal skills, and the ability to foster collective partnerships.

Other Skills:

  • Dedication to teamwork with a demonstrated ability to collaborate across functions.
  • Track record of innovation with the vision and entrepreneurial spirit to take on a key role in a small, fast-growing company.

Values:

  • Commitment to Excellence
  • Do GREAT Attitude
  • Honesty & Integrity
  • Perseverance
  • Respect

      Company Profile:

      Mango Sciences is an AI driven data aggregation and analytical engine providing end-to-end hospital-based analytics focusing on operational efficiencies and quality of care. With this capability, Mango Sciences is currently embedded in more than 350 different hospitals & clinics covering ~ 28 million lives in India.

      Mango Sciences has ambitious plans to continue investing and building healthcare capacity across Africa and South Asia. This encompasses the dual mission of serving the healthcare needs of the population by improving the population’s access to quality healthcare, whilst catalysing engagement with Life Science Companies. The objective is to build a longitudinal patient record, from a patient’s DNA, all the way to their consumption and shopping habits across India and emerging markets. Our aim is to unlock insights into human populations never studied before with the power of data.

      Working at Mango Sciences means being entrepreneurial, thinking big, and working together to make the impossible a reality. We are inspired by the things that seem impossible. At Mango Sciences, we see the impact of our collective ideas and expertise, and the power of science to deliver them.

      We know that meaningful results require not only the right approach but also the right people. We invite you to reimagine healthcare with us. You will have the opportunity to play an important role in helping our clients drive healthcare forward and ultimately expand access to healthcare and improve patient health outcomes.

      Position Summary:

      To deliver on our mission of improving healthcare access and quality, we are looking for an experienced NLP Data Scientist to join our small, fast-growing team.

      The NLP Data Scientist serves on a project team that leverages our industry-leading healthcare data to deliver clinical insights in engagements with healthcare providers and Life Sciences Companies. In this role, he/she will be part of an agile data science team, with the excitement, pace, and development opportunities that come with working in an early-stage company.

      Position Responsibilities:

      • You will be part of a high-impact team building the next generation of intelligence and language understanding.
      • Utilise the latest techniques in AI, ML (including Deep Learning approaches), and NLU.
      • Build topic analysis, text classification, and named entity recognition methods for unstructured and semi-structured data.
      • Develop efficient self-learning NLP applications.
      • Contribute to problem solving discussions by clearly defining the issues and offering solutions.
      • Provide timely updates to the management and leadership teams.

      Position Requirements:

      • Bachelors or Master’s degree in Computer Science, Statistics, Information Technology, or a related field of study.
      • 4-6 years of relevant work experience, with evidence of:
        • Extensive experience in using NLP-related techniques/algorithms, e.g., deep learning, RNN, attention models, transformers, BERT, GPT, word2vec/doc2vec.
        • In-depth knowledge of various Natural Language Processing/Understanding (NLP/NLU) domains, e.g., entity extraction, topic modelling, parsing, question answering, word representation, relation extraction, natural language inference, and semantic parsing.
      • Strong scripting and programming skills in Python, SQL, or similar languages.
      • Healthcare industry knowledge (medical and pharmaceutical).
      • Strong background in Machine Learning, e.g., generative model, discriminative model, neural network, regression, classification, and clustering.
      • Experience in building models from scratch and working with structured and unstructured data.
      • Excellent communication (written and verbal), interpersonal skills, and the ability to foster collective partnerships.

      Other Skills:

      • Dedication to teamwork with a demonstrated ability to collaborate across functions.
      • Desire to build strong NLP-based applications.
      • Track record of innovation with the vision and entrepreneurial spirit to take on a key role in a small, fast-growing company.

      Values:

      • Commitment to Excellence
      • Do GREAT Attitude
      • Honesty & Integrity
      • Perseverance
      • Respect

          Company Profile:

          Mango Sciences is an AI driven data aggregation and analytical engine providing end-to-end hospital-based analytics focusing on operational efficiencies and quality of care. With this capability, Mango Sciences is currently embedded in more than 350 different hospitals & clinics covering ~ 28 million lives in India.

          Mango Sciences has ambitious plans to continue investing and building healthcare capacity across Africa and South Asia. This encompasses the dual mission of serving the healthcare needs of the population by improving the population’s access to quality healthcare, whilst catalysing engagement with Life Science Companies. The objective is to build a longitudinal patient record, from a patient’s DNA, all the way to their consumption and shopping habits across India and emerging markets. Our aim is to unlock insights into human populations never studied before with the power of data.

          Working at Mango Sciences means being entrepreneurial, thinking big, and working together to make the impossible a reality. We are inspired by the things that seem impossible. At Mango Sciences, we see the impact of our collective ideas and expertise, and the power of science to deliver them.

          We know that meaningful results require not only the right approach but also the right people. We invite you to reimagine healthcare with us. You will have the opportunity to play an important role in helping our clients drive healthcare forward and ultimately expand access to healthcare and improve patient health outcomes.

          Position Summary:

          To deliver on our mission of improving healthcare access and quality, we are looking for an experienced Knowledge Graph Data Scientist to join our small, fast-growing team.

          The Knowledge Graph Data Scientist serves on a project team that leverages our industry-leading healthcare data to deliver clinical insights in engagements with healthcare providers and Life Sciences Companies. In this role, he/she will be part of an agile data science team, with the excitement, pace, and development opportunities that come with working in an early-stage company.

          Position Responsibilities:

          • You will be part of a high-impact team leveraging and optimising a Knowledge Graph (KG) based on Mango’s proprietary healthcare data.
          • Develop, incorporate, and refine all parts of the KG-related pipeline – knowledge storage and representation, relevant data sources, visualisation tools, embeddings, and clinical prediction models.
          • Utilise the latest techniques to generate robust embeddings and apply deep/machine learning in the context of KG’s.
          • Contribute to problem solving discussions by clearly defining the issues and offering solutions.
          • Provide timely updates to the management and leadership teams.

          Position Requirements:

          • A degree in Data Science, Computer Science, Statistics, or a related field of study.
          • 3-5 years of KG-specific work experience, demonstrated to be:
            • An experienced practitioner of machine learning in the context of KG’s.
            • Up to date with recent developments in machine learning (ML) and are familiar with current trends in the wider ML community and KG’s.
          • Strong scripting and programming skills in Python (required) and at least one KG industry standard, e.g., SPARQL.
          • Experience with KG platform and graph database management tools, e.g., Neo4j.
          • Healthcare industry knowledge (medical and pharmaceutical) is preferred.
          • Experience in building models from scratch and working with structured and unstructured data.
          • Excellent communication (written and verbal), interpersonal skills, and the ability to foster collective partnerships.

          Other Skills:

          • Dedication to teamwork with a demonstrated ability to collaborate across functions.
          • Track record of innovation with the vision and entrepreneurial spirit to take on a key role in a small, fast-growing company.

          Values:

          • Commitment to Excellence
          • Do GREAT Attitude
          • Honesty & Integrity
          • Perseverance
          • Respect

              Company Profile:

              Mango Sciences is an AI driven data aggregation and analytical engine providing end-to-end hospital-based analytics focusing on operational efficiencies and quality of care. With this capability, Mango Sciences is currently embedded in more than 350 different hospitals & clinics covering ~ 28 million lives in India.

              Mango Sciences has ambitious plans to continue investing and building healthcare capacity across Africa and South Asia. This encompasses the dual mission of serving the healthcare needs of the population by improving the population’s access to quality healthcare, whilst catalysing engagement with Life Science Companies. The objective is to build a longitudinal patient record, from a patient’s DNA, all the way to their consumption and shopping habits across India and emerging markets. Our aim is to unlock insights into human populations never studied before with the power of data.

              Working at Mango Sciences means being entrepreneurial, thinking big, and working together to make the impossible a reality. We are inspired by the things that seem impossible. At Mango Sciences, we see the impact of our collective ideas and expertise, and the power of science to deliver them.

              We know that meaningful results require not only the right approach but also the right people. We invite you to reimagine healthcare with us. You will have the opportunity to play an important role in helping our clients drive healthcare forward and ultimately expand access to healthcare and improve patient health outcomes.

              Expected Competencies

              Section A – Knowledge, Skills, and Abilities:

              • Previous experience as a Full Stack Developer or similar role.
              • Experience developing web (desktop and mobile) applications.
              • Familiarity with common stacks.
              • Knowledge of multiple front-end languages and libraries (e.g., HTML/CSS, JavaScript, XML, jQuery, etc.).
              • Knowledge of JavaScript frameworks, ReactJs is a plus.
              • Knowledge of multiple back-end languages (e.g., Java, Python, Node.js, etc.).
              • Familiarity with databases (e.g., MySQL, MSSQL, Postgres, etc.), web servers (e.g., Tomcat, Wildfly, etc.) and UI/UX design.
              • Experience in MVC frameworks like spring, preferably Spring Boot.
              • Excellent communication and teamwork skills.
              • Degree in Computer Science or relevant field.
              • Working experience in or good knowledge of cloud platforms (e.g., Azure, AWS, etc.).
              • Good in data structure, algorithms, and design patterns.
              • Good in design thinking and approach to solve business problem by applying suitable technologies (cost efficient, high performance, resilient, and scalable).
              • Good knowledge of Restful services and web services.
              • Work with development teams and product managers to ideate software solutions.
              • Design client-side and server-side architecture.
              • Build the front-end of applications through appealing visual design.
              • Develop and manage well-functioning databases and applications.
              • Write effective APIs.
              • Test software to ensure responsiveness and efficiency.
              • Troubleshoot, debug, and upgrade software.
              • Create security and data protection settings.
              • Build features and applications with a mobile responsive design.
              • Work with data scientists, data engineers, and analysts to improve software.

              Section B – Values:

              • Commitment to Excellence
              • Do GREAT Attitude
              • Honesty & Integrity
              • Perseverance
              • Respect

                  Company Profile:

                  Mango Sciences is an AI driven data aggregation and analytical engine providing end-to-end hospital-based analytics focusing on operational efficiencies and quality of care. With this capability, Mango Sciences is currently embedded in more than 350 different hospitals & clinics covering ~ 28 million lives in India.

                  Mango Sciences has ambitious plans to continue investing and building healthcare capacity across Africa and South Asia. This encompasses the dual mission of serving the healthcare needs of the population by improving the population’s access to quality healthcare, whilst catalysing engagement with Life Science Companies. The objective is to build a longitudinal patient record, from a patient’s DNA, all the way to their consumption and shopping habits across India and emerging markets. Our aim is to unlock insights into human populations never studied before with the power of data.

                  Working at Mango Sciences means being entrepreneurial, thinking big, and working together to make the impossible a reality. We are inspired by the things that seem impossible. At Mango Sciences, we see the impact of our collective ideas and expertise, and the power of science to deliver them.

                  We know that meaningful results require not only the right approach but also the right people. We invite you to reimagine healthcare with us. You will have the opportunity to play an important role in helping our clients drive healthcare forward and ultimately expand access to healthcare and improve patient health outcomes.

                  Expected Competencies

                  Section A – Knowledge, Skills, and Abilities:

                  • Knowledge about Micro services and message queue (E.g., Apache Kafka, RabbitMQ, etc).
                  • Knowledge in concepts and practices of Business Intelligence and Data Warehouse with Microsoft SQL Server.
                  • Create and maintain optimal data pipeline architecture.
                  • Analysis of data that meet business requirements.
                  • Assemble large, complex data sets that meet functional/non-functional business requirements.
                  • Identify, design, and implement internal process improvements: automating manual processes, optimising data delivery, etc.
                  • Build or use existing framework/tools for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and Azure ‘big data’ technologies.
                  • Use tools that utilise the data pipeline to provide actionable insights and other key business performance metrics.
                  • Technical experience with databases (MSSQL, Postgres, Oracle, etc.) data warehousing, ETL (Talend) and BI tools.
                  • Strong understanding of relational database concepts & technology – data modelling, SQL, query optimisation, data restoration, and data warehouse architecture.
                  • Strong ETL Experience in design, configuration, data mapping, extraction, transformation, and loading in an extremely complex environment processing large volumes of data.
                  • Experience with Unix/Linux shell scripting.
                  • Strong written, verbal, and interpersonal skills. Ability to communicate effectively internally and with stakeholders.
                  • Strong experience in SQL and PL/SQL.
                  • Create data tools for analytics and data science teams that assist them in building and optimising our product into an innovative industry leader.
                  • Experience in Programming – Java is an advantage.
                  • Experience with Scripting – Python preferred.
                  • Experience working with healthcare is an advantage.
                  • Experience working with job scheduling tools. Knowledge on Airflow is an advantage.
                  • Experience working with APIs to integrate and acquire data.
                  • Knowledge on SSIS/SSMA, Microsoft PowerShell is an advantage.
                  • Experience on NoSQL Database, Apache Spark, and Elasticsearch/Solr is an advantage.
                  • Knowledge of Tableau is an advantage.
                  • Experience in using a version control system like Github is an added advantage.
                  • Experience working in a cloud environment (e.g., AWS, Azure, etc).
                  • Performance tuning and code optimisation in SQL.
                  • Ability to work independently or with minimal supervision.
                  • Ability to work with internal and external stakeholders including the Product, Data, Design, and Client Teams to assist with data-related technical issues and support their data infrastructure needs.
                  • Ability to effectively interact with, present information to, and respond to questions from all levels of the organisation and partners.
                  • Ability to communicate complex analysis in a clear, precise, and actionable manner.
                  • Ability to research and troubleshoot technical problems.
                  • Work with data and analytics experts to strive for greater functionality in our data systems.
                  • Ability and willingness to learn new tools and applications.

                  Section B – Values:

                  • Commitment to Excellence
                  • Do GREAT Attitude
                  • Honesty & Integrity
                  • Perseverance
                  • Respect