Mango Sciences

https://linkedin.com/redir/redirect

Founded :

2019

Type :

Product

Size :

20-100

Stage :

Raised funding

About

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Company social profiles

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Jobs at Mango Sciences

Data Scientist

at Mango Sciences

Posted by Supriya C

The recruiter has not been active on this job recently. You may apply but please expect a delayed response.

Remote only

4 - 10 yrs

₹12L - ₹30L / yr

Data scientist

LLM

large language model

GenAI

Generative AI

+6 more

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

Responsibilities

• 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

• 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

Project Manager

at Mango Sciences

Posted by Supriya C

The recruiter has not been active on this job recently. You may apply but please expect a delayed response.

Delhi, Gurugram, Noida, Ghaziabad, Faridabad

5 - 10 yrs

₹15L - ₹20L / yr

Project Management

Business Development

Digital Health

diagnostics industry

Biotechnology

+4 more

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.