Biopharmaceutical Data Scientists

19 hours ago

Remote, India Hyqoo Full time

Remote (India)
3-6 yrs Exp.Contract
3 Months
Start Immediately
JOB

**Job Description**:
**Job Title: Biopharmaceutical Data Scientist**

**Roles and Responsibilities**:

- Develop and implement robust **machine learning** models and algorithms tailored to biopharmaceutical datasets to identify patterns, predict outcomes, and optimize drug development pipelines.
- Analyze large-scale biological, clinical, and pharmaceutical data using advanced **data science** methodologies to support decision-making processes.
- Collaborate with cross-functional teams including bioinformatics, clinical research, and regulatory affairs to integrate data-driven insights into project strategies.
- Design and maintain scalable data pipelines and workflows ensuring high-quality data management and reproducibility.
- Communicate complex data findings and model results effectively to both technical and non-technical stakeholders.
- Stay updated with the latest advancements in **pharma** analytics, **machine learning**, and **data science** to continuously enhance analytical approaches.

**Qualifications**:

- Bachelor’s or Master’s degree in Computer Science, Data Science, Bioinformatics, Statistics, Pharmaceutical Sciences, or a related field. PhD is a plus.
- 3 to 6 years of professional experience in **data science** or **machine learning** roles within the biopharmaceutical or healthcare sector.
- Strong understanding of pharmaceutical development processes and domain knowledge in **pharma** is essential.
- Proven experience in handling and analyzing complex biological and clinical datasets.
- Excellent problem-solving skills and ability to work independently as well as in collaborative, multidisciplinary teams.

**Tools and Technologies**:

- Proficiency in **Python** and its scientific libraries such as **Pandas**, **NumPy**, **Scikit-learn**, and **TensorFlow** or **PyTorch** for building and deploying machine learning models.
- Experience with data visualization tools like **Matplotlib**, **Seaborn**, or **Plotly**.
- Familiarity with database querying languages such as **SQL**.
- Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) for scalable data processing is advantageous.
- Exposure to pharmaceutical data standards and platforms (e.g., CDISC, SAS) is a plus.

**Skills**:

- Data Science, Machine Learning, Python, Pharma

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