About Us:
At cGxPTech, we are building next-generation AI solutions for the Life Sciences industry, focused on improving efforts in drug discovery and development, data intelligence, clinical insights, and data-driven decision-making.
Job Description:
We are looking for a skilled Machine Learning Engineer / Data Scientist to design, develop, and deploy AI models for life sciences applications. This role involves working with structured and unstructured data, building predictive models, and integrating AI into real-world products.
Responsibilities:

- Design, develop, and optimize machine learning models for life sciences use cases.
- Work with chemistry manufacturing controls, clinical, regulatory, or business data (structured & unstructured).
- Build predictive models (classification, recommendation, NLP).
- Develop AI-powered features such as candidate-job matching, resume parsing, or data insights.
- Clean, preprocess, and analyze large datasets.
- Deploy models using cloud platforms (AWS, Azure, or GCP).
- Collaborate with product, engineering, and domain experts.
- Ensure data integrity, compliance, and model performance.

Requirements:

- Bachelor's or Master's in Computer Science, Data Science, Bioinformatics, or related field.




- 1 5+ years of experience in Machine Learning/Data Science.
- Strong programming skills in Python (NumPy, Pandas, Scikit-learn).
- Experience with ML frameworks (TensorFlow, PyTorch, or similar).
- Knowledge of NLP techniques (resume parsing, text classification, etc.).
- Experience working with APIs and data pipelines.
- Familiarity with cloud platforms (AWS/GCP/Azure).

Preferred Qualifications:

- Experience in Life Sciences / Healthcare / Pharma domain.
- Knowledge of GxP, clinical data, or regulatory environments.
- Experience with LLMs (OpenAI, Hugging Face, etc.).
- Experience in recommendation systems or job matching algorithms.
- Exposure to MLOps and model deployment pipelines.

What We Offer:

- Opportunity to build AI products in a high-growth Life Sciences startup.
- Flexible work setting (Hybrid).
- Competitive compensation.
- Work on impactful, real-world healthcare and life science solutions.

Compensation (Indicative):

- Open & As per the experience.
- Contract/Freelance options available.

How to Apply:
Send your resume and portfolio (GitHub/Kaggle/projects) to: [email protected] .

📌 ML Engineer & Data Scientist (Life Sciences AI) (India)
🏢 Katalyst Healthcares & Life Sciences
📍 India