Mango Sciences is a leading emerging market data science company connecting millions of underrepresented patients to precision medicine. The company’s Querent™ platform utilizes industry-leading AI analytics to transform deep clinical data into key insights that drive global health improvements. Mango Sciences is currently partnering with hospitals to understand the health data of individuals in India and other emerging markets to drive advancement in patient care and drug discovery for all populations.

Company OverviewMango Sciences is a pioneering data science company focused on connecting underrepresented patients to precision medicine. Leveraging its Querent™ platform, Mango Sciences transforms complex clinical data using advanced AI analytics to provide insights that contribute to global health improvements. With its network of partners, including hospitals, the company is dedicated to advancing patient care and drug discovery in India and other emerging markets. Headquartered in Boston, Mango Sciences is part of the Hospitals and Health Care industry. Job OverviewWe are seeking a Real World Evidence Analyst to join our dynamic team remotely from Bangalore. The role requires a minimum of 4 years of professional experience in the field, situated at a mid-level position. As part of our mission to advance health data insights, you will play a crucial role in transforming clinical data into actionable insights by using your expertise in real world evidence analysis. Qualifications and Skills<ul><li>Proven experience in real world evidence analysis, specifically within the healthcare industry (Mandatory skill).</li><li>Strong background in clinical data management to ensure that data is collected, stored, and analyzed correctly (Mandatory skill).</li><li>Expertise in oncology to effectively contribute to research and analysis within this key area (Mandatory skill).</li><li>Experience in cancer research, with a focus on developing and executing studies that provide valuable insights into cancer treatment.</li><li>Working knowledge of electronic medical records for efficient data extraction and management in healthcare settings.</li><li>Proficiency in data analysis to interpret complex datasets and derive actionable insights for healthcare improvements.</li><li>Experience in health informatics for managing healthcare data, improving patient care, and enhancing decision-making processes.</li><li>Knowledge of HERO (Health Economic Research Outcomes) to assess the economic impact of health interventions and policies.</li></ul> Roles and Responsibilities<ul><li>Analyze real world data to generate evidence that supports clinical and health economic research initiatives.</li><li>Collaborate with cross-functional teams to integrate insights from underrepresented populations into global health strategies.</li><li>Perform deep dives into clinical data sets to extract insights that can be used to influence patient care strategies and drug development.</li><li>Maintain up-to-date knowledge on methodologies and data analytics tools to ensure leading practice in data insights and healthcare research.</li><li>Communicate data findings effectively to stakeholders, supporting them in decision-making processes for healthcare interventions.</li><li>Develop and maintain strong relationships with hospitals and research institutions to facilitate data sharing and collaboration.</li><li>Ensure data quality and integrity through rigorous data management standards and procedures.</li><li>Contribute to publications and presentations by providing evidence-based insights from conducted analyses.</li></ul>

We are seeking an experienced Data Scientist with a proven track record in Machine Learning, Deep Learning, and a demonstrated focus on Large Language Models (LLMs) to join our cutting-edge Data Science team. You will play a pivotal role in developing and deploying innovative AI solutions that drive real-world impact to patients and healthcare providers. Responsibilities •&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;LLM Development and Fine-tuning: fine-tune, customize, and adapt large language models (e.g., GPT, Llama2, Mistral, etc.) for specific business applications and NLP tasks such as text classification, named entity recognition, sentiment analysis, summarization, and question answering. Experience in other transformer-based NLP models such as BERT, etc. will be an added advantage. •&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Data Engineering: collaborate with data engineers to develop efficient data pipelines, ensuring the quality and integrity of large-scale text datasets used for LLM training and fine-tuning •&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Experimentation and Evaluation: develop rigorous experimentation frameworks to evaluate model performance, identify areas for improvement, and inform model selection. Experience in LLM testing frameworks such as TruLens will be an added advantage. •&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Production Deployment: work closely with MLOps and Data Engineering teams to integrate models into scalable production systems. •&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Predictive Model Design and Implementation: leverage machine learning/deep learning and LLM methods to design, build, and deploy predictive models in oncology (e.g., survival models) •&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Cross-functional Collaboration: partner with product managers, domain experts, and stakeholders to understand business needs and drive the successful implementation of data science solutions •&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Knowledge Sharing: mentor junior team members and stay up to date with the latest advancements in machine learning and LLMs Qualifications Required •&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Doctoral or master’s degree in computer science, Data Science, Artificial Intelligence, or related field •&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;5+ years of hands-on experience in designing, implementing, and deploying machine learning and deep learning models •&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;12+ months of in-depth experience working with LLMs. Proficiency in Python and NLP-focused libraries (e.g., spaCy, NLTK, Transformers, TensorFlow/PyTorch). •&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Experience working with cloud-based platforms (AWS, GCP, Azure) Additional Skills •&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Excellent problem-solving and analytical abilities •&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Strong communication skills, both written and verbal •&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Ability to thrive in a collaborative and fast-paced environment

Manager, Strategic Patient Programs &amp; Business Development Experience: 5 Years to 10 Years Location: Delhi / NCR Workmode : Onsite About the Role We are seeking a highly motivated and results-driven Manager to lead strategic initiatives across our patient services and business development divisions. The ideal candidate will have a strong background in the pharmaceutical domain, with expertise in designing and executing patient-centric programs, leveraging data to drive business growth, and leading cross-functional teams. This role requires a blend of strategic thinking, pharma project management, and a fundamental understanding of digital health solutions. Key Responsibilities ·&nbsp;&nbsp;&nbsp;&nbsp;Develop and lead strategic initiatives for patient support programs across various therapeutic areas, with a focus on delivering innovative, patient-centric solutions. ·&nbsp;&nbsp;&nbsp;&nbsp;Design and execute data-driven healthcare strategies to enhance patient engagement, adherence, and access, using analytics to measure program impact and inform continuous refinements. ·&nbsp;&nbsp;&nbsp;&nbsp;Manage and optimize vendor partnerships and project execution to improve operational efficiency and achieve key business objectives. ·&nbsp;&nbsp;&nbsp;&nbsp;Orchestrate cross-functional collaborations with Medical, Market Access, Advocacy, and Commercial teams to ensure seamless integration of patient support initiatives. ·&nbsp;&nbsp;&nbsp;&nbsp;Contribute to business development by identifying new opportunities and scaling operations. ·&nbsp;&nbsp;&nbsp;&nbsp;Lead digital transformation projects, overseeing the development and implementation of technology-based solutions for patient onboarding, adherence tracking, and HCP engagement. ·&nbsp;&nbsp;&nbsp;&nbsp;Ensure regulatory and quality compliance for all patient programs and business operations, staying up-to-date on industry best practices. ·&nbsp;&nbsp;&nbsp;&nbsp;Spearhead team management and development, fostering a high-performance culture and enhancing service delivery. Qualifications ·&nbsp;&nbsp;&nbsp;&nbsp;A Bachelor's degree in a relevant field such as Engineering, Life Sciences, or Biotechnology is required. ·&nbsp;&nbsp;&nbsp;&nbsp;A minimum of 5-10 years of progressive experience in the pharmaceutical, digital health, or diagnostics industry. ·&nbsp;&nbsp;&nbsp;&nbsp;Proven expertise in project management and team leadership. ·&nbsp;&nbsp;&nbsp;&nbsp;Strong understanding of the pharmaceutical landscape, including market access, pharmacovigilance, and regulatory compliance. ·&nbsp;&nbsp;&nbsp;&nbsp;Demonstrated experience in business development and scaling operations. ·&nbsp;&nbsp;&nbsp;&nbsp;Basic understanding of software development and experience working on digital health or mobile platform projects. ·&nbsp;&nbsp;&nbsp;&nbsp;Exceptional communication, stakeholder engagement, and analytical skills.