Join Lifelancer as a Data Scientist

Are you a dynamic individual passionate about data science? Lifelancer is seeking an enthusiastic Data Scientist to join our in-house team on a permanent basis. In this role, you'll work on diverse projects from our expansive client base, including small to large pharmaceutical, biotechnology, medical device, and consumer health companies.

Why Join Us?

Be a part of a team dedicated to making a difference in people's lives. Enjoy a fulfilling and rewarding career by contributing to impactful projects in the healthcare sector.

Main Job Tasks and Responsibilities

Data Exploration

Conduct exploratory data analysis to identify patterns, anomalies, or significant structures in clinical data.

Feature Engineering

Transform and engineer data features to enhance the performance of ML/NLP models, leveraging domain knowledge of clinical trials in drug and medical devices development.

Model Training and Validation

Continuously train, validate, and fine-tune models to ensure robustness and relevance. Implement cross-validation, hyperparameter tuning, and other optimization techniques.

Collaborative Projects

Lead cross-functional projects, collaborating with clinicians, pharmacologists, regulatory specialists, and IT teams to ensure cohesive execution.

Model Interpretability

Work on making complex models interpretable and understandable to non-experts, especially when results have significant clinical implications.

Regular Updates

Conduct periodic presentations and training sessions for stakeholders, sharing insights and educating on the significance and implications of findings.

Education, Experience, and Skills

Education: Post-Graduate in Engineering, Data Science, or related fields, with 2-4 years of relevant experience.

Advanced Expertise: Mastery over ML and NLP methodologies, ensuring optimal model selection and implementation based on specific project requirements.

Domain Knowledge: Deep understanding of the clinical trials landscape, including regulatory compliance, data management practices, trial phases, and industry-specific challenges.

Project Management: Proven ability to lead complex data-centric projects from conception to completion, liaising with cross-functional teams, stakeholders, and external partners.

Technical Proficiency: Expertise in popular ML/NLP frameworks and tools such as TensorFlow, PyTorch, Scikit-learn, and NLTK. Comfortable with big data technologies and cloud platforms.

Research Development: Track record of pioneering research initiatives that enhance trial outcomes, patient recruitment strategies, drug efficacy, and medical devices predictions using ML/NLP techniques.

Interested? Apply now:

Company name: Lifelancer

Job title: Data Scientist

Don't miss the opportunity to advance your career and make a significant impact in the healthcare industry with Lifelancer. Apply today!