ML Engineer & Data Scientist (Life Sciences AI)

Katalyst HealthCares & Life Sciences View all jobs

  • Hyderabad, Telangana
  • Permanent
  • Full-time
  • 8 days ago
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 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: .

Katalyst HealthCares & Life Sciences