Mango Sciences

Position Summary

Mango Sciences is connecting the health data of millions from underrepresented populations to global

research. 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 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

• Synthesize and present findings, both verbally and through written means (e.g., slides, documents)

• 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

• 8+ years of relevant work experience, with evidence of

o Strong analytic work and problem-solving skills

o 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

• Vision and entrepreneurial spirit to take on a key role in a small, growing company

Through our data, Mango Sciences aims to unlock insights into populations never before studied. With our

proprietary hospital analytics platform, we have access to 28M lives in India and aim to grow across Africa,

Asia, and the Middle East. Together, we will improve precision medicine and optimize patient care for all

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

•           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.

•           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

•           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.

•           Production Deployment: work closely with MLOps and Data Engineering teams to integrate models into scalable production systems.

•           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)

•           Cross-functional Collaboration: partner with product managers, domain experts, and stakeholders to understand business needs and drive the successful implementation of data science solutions

•           Knowledge Sharing: mentor junior team members and stay up to date with the latest advancements in machine learning and LLMs

Qualifications Required

•           Doctoral or master’s degree in computer science, Data Science, Artificial Intelligence, or related field

•           5+ years of hands-on experience in designing, implementing, and deploying machine learning and deep learning models

•           12+ months of in-depth experience working with LLMs. Proficiency in Python and NLP-focused libraries (e.g., spaCy, NLTK, Transformers, TensorFlow/PyTorch).

•           Experience working with cloud-based platforms (AWS, GCP, Azure)

Additional Skills

•           Excellent problem-solving and analytical abilities

•           Strong communication skills, both written and verbal

•           Ability to thrive in a collaborative and fast-paced environment

Manager, Strategic Patient Programs & Business Development

Experience- 5 to 10 Years

Location- Delhi/NCR

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

·       Develop and lead strategic initiatives for patient support programs across various therapeutic areas, with a focus on delivering innovative, patient-centric solutions.

·       Design and execute data-driven healthcare strategies to enhance patient engagement, adherence, and access, using analytics to measure program impact and inform continuous refinements.

·       Manage and optimize vendor partnerships and project execution to improve operational efficiency and achieve key business objectives.

·       Orchestrate cross-functional collaborations with Medical, Market Access, Advocacy, and Commercial teams to ensure seamless integration of patient support initiatives.

·       Contribute to business development by identifying new opportunities and scaling operations.

·       Lead digital transformation projects, overseeing the development and implementation of technology-based solutions for patient onboarding, adherence tracking, and HCP engagement.

·       Ensure regulatory and quality compliance for all patient programs and business operations, staying up-to-date on industry best practices.

·       Spearhead team management and development, fostering a high-performance culture and enhancing service delivery.

Qualifications

·       A Bachelor's degree in a relevant field such as Engineering, Life Sciences, or Biotechnology is required.

·       A minimum of 5-10 years of progressive experience in the pharmaceutical, digital health, or diagnostics industry.

·       Proven expertise in project management and team leadership.

·       Strong understanding of the pharmaceutical landscape, including market access, pharmacovigilance, and regulatory compliance.

·       Demonstrated experience in business development and scaling operations.

·       Basic understanding of software development and experience working on digital health or mobile platform projects.

·       Exceptional communication, stakeholder engagement, and analytical skills.