CJ0007 - Data Scientist – Pharma Analytics
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About the Role and Company
Circulants is a global provider of cloud software and data analytics for the life sciences industry. We help pharmaceutical, medical device, and diagnostics companies transform the commercialization journey — turning data into insights, and insights into action — to deliver better healthcare outcomes and stronger returns.
What sets us apart is our people. Their grit, entrepreneurial mindset, and family-like spirit drive our growth and fuel our ability to build impactful products. It’s this culture that makes us proud of our work and pushes us to keep moving forward at pace.
In this role, you will lead patient journey analytics and work with patient-level healthcare data to build robust analytical solutions for pharma clients.
Responsibilities
- Design and implement statistical and machine learning models for pharma use cases such as patient identification, treatment prediction, adherence modeling, and forecasting.
- Apply and tune a wide range of models, including:
- Regression: Linear, logistic, Poisson, survival analysis
- Tree-based models: Random Forest, XGBoost, LightGBM, CatBoost
- Neural networks: Deep learning, LSTM/RNN for time series, transformers for NLP
- Clustering & segmentation: K-means, hierarchical, DBSCAN, Gaussian mixtures
- Causal inference & propensity models: Matching, instrumental variables, uplift modeling
- Work with Databricks, PySpark, and SQL to process large-scale structured and unstructured healthcare data.
- Build production-ready models and ensure scalability using MLOps practices (MLflow, Docker, CI/CD).
- Collaborate with domain experts to align models with clinical and commercial needs (e.g., patient journeys, payer analytics, drug launch optimization).
- Visualize and communicate results using tools like matplotlib, seaborn, Plotly, PowerPoint.
- Continuously research and implement state-of-the-art ML/AI techniques for pharma problems.
- Job ID: CJ0007
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Qualifications:
BE / B.Tech / B.Pharma / M.Pharma / M.Tech / MBA / MS / PhD in a quantitative discipline (Statistics, Computer Science, Mathematics, Engineering, Data Science, or related). -
Experience:
1-4 years of experience in Data Science, with minimum 1+ years in the Pharma / Life Sciences domain. - Job Type: Full Time
- Location: Pune, India
- Salary: Competitive, based on experience and expertise.
Skills Required
Must-Have:
- Expertise in machine learning and statistical modeling with large-scale healthcare data.
- Strong coding skills in Python, R, SQL and experience with Databricks and cloud platforms.
- Proven ability to translate business problems into data science solutions.
- Strong understanding of regression, survival analysis, hypothesis testing, time series, causal inference.
- Experience working with real-world pharma data: claims, EMR, prescription, formulary, patient registries, HUB/SP.
- Familiarity with major data vendors: IQVIA, Komodo, Symphony, Veeva Compass, SHS, McKesson.
- Proficiency with libraries: scikit-learn, statsmodels, TensorFlow, Keras, PyTorch, XGBoost, LightGBM, CatBoost, PyMC3.
- Excellent communication, problem-solving, and storytelling skills.
Good-to-Have:
- Experience in deep learning (NLP, LSTM, transformers) applied to healthcare datasets.
- Knowledge of Bayesian statistics & probabilistic modeling.
- Hands-on experience with MLOps tools (MLflow, Kubeflow, Airflow, Docker).