Katalyst Healthcares & Life Sciences
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Hyderabad · Hybrid · 5-8 Yrs · 19 hours ago
Biotech & Pharmaceuticals · 51 to 200 Employees · South Plainfield, US
Hiring: Engineering
What employees say
+ They have about 10% of projects they actually claim to be working with.
− The remainder 90% of job postings are resume collection services for a number of reasons like gaining trust of senior leadership that are trying to track down their former employee
More reviews on the company profile.
Job description
Overview
We are looking for a skilled Machine Learning Engineer / Data Scientist to design, develop, and deploy AI models for life sciences applications.
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.
Qualifications
- 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).
Nice to have
- 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.
Benefits
- 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.
- Open & As per the experience.
- Contract/Freelance options available.
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Job application FAQ
Last updated 10 October 2026
- How do I apply for ML Engineer & Data Scientist (Life Sciences AI) at Katalyst Healthcares & Life Sciences?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Katalyst Healthcares & Life Sciences may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this ML Engineer & Data Scientist (Life Sciences AI) role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is ML Engineer & Data Scientist (Life Sciences AI) remote or on-site in Hyderabad, Telangana?
- This listing is marked hybrid with location Hyderabad, Telangana. Confirm details on the job description before applying.
- What skills matter for this ML Engineer & Data Scientist (Life Sciences AI) role at Katalyst Healthcares & Life Sciences?
- This is a mid-level ML Engineer & Data Scientist (Life Sciences AI) role. Key skills include Hybrid. Feedback AI highlights matched vs missing skills on your profile after signup.