Job Title: Entry-Level AI/ML Engineer – Pharma & Life Sciences
Location: Remote
Employment Type: Contract
Experience: 0–2 Years
Job Summary
We are seeking an Entry-Level AI/ML Engineer to support the development and implementation of artificial intelligence and machine learning solutions within pharmaceutical, biotechnology, and life sciences environments. The ideal candidate will assist with data analysis, model development, predictive analytics, and automation initiatives to improve research, manufacturing, quality, and operational efficiency.
This role is suitable for recent graduates with a background in Computer Science, Data Science, Artificial Intelligence, Bioinformatics, or related fields and an interest in applying AI/ML technologies to pharmaceutical and life sciences challenges.
Key Responsibilities
- Assist in developing, training, testing, and evaluating machine learning models.
- Collect, clean, preprocess, and analyze pharmaceutical, laboratory, clinical, or manufacturing datasets.
- Develop Python scripts for data processing, statistical analysis, and model implementation.
- Support predictive analytics and pattern recognition for quality, manufacturing, and research applications.
- Assist with exploratory data analysis and visualization to identify trends and insights.
- Collaborate with Data Scientists, Software Engineers, Research Scientists, Quality, and Manufacturing teams.
- Support the integration of AI/ML models into existing applications and data workflows.
- Document model development, testing results, assumptions, and performance metrics.
- Follow applicable data privacy, security, documentation, and regulatory requirements.
- Assist with model monitoring, troubleshooting, and continuous improvement.
- Support data integrity and traceability in regulated pharmaceutical environments.
Required Qualifications
- Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Bioinformatics, Biomedical Engineering, Biotechnology, or a related field.
- 0–2 years of experience in AI/ML, data science, or software development; relevant internships and academic projects are acceptable.
- Basic programming knowledge in Python.
- Familiarity with machine learning concepts, algorithms, and model evaluation.
- Knowledge of data preprocessing, statistics, and exploratory data analysis.
- Exposure to libraries such as Pandas, NumPy, Scikit-learn, or TensorFlow/PyTorch.
- Strong analytical, problem-solving, documentation, and communication skills.