ML Engineer & Data Scientist (Life Sciences AI)

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.
• –+ 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 environment (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: .