Remote Senior Data Scientist - Life Sciences

Placements24; Queenstown; Hybrid; NZD 120,000 - 180,000; Full time

Benefits offered by this job

Health insurance

Dental & vision insurance

Flexible remote work with home office

Generous paid time off & professional 

Development opportunities

Job summary

Placements24 is seeking a highly skilled Senior Data Scientist to join a fully remote, cutting-edge life sciences research division. Leverage advanced analytics and ML to extract insights from complex biological and clinical datasets, driving data-driven decisions across multiple programs.

Responsibilities include developing models, statistical analyses, data extraction and cleaning, collaboration with biologists and clinicians, data visualization, and staying current with ML advances.

Qualifications

• Masters or PhD in a quantitative field such as Data Science, Statistics, Computer Science, Bioinformatics or related.
• Minimum 6 years of professional Data Scientist experience in life sciences.

Responsibilities

• Develop, implement, and validate predictive models for large-scale biological and clinical datasets.
• Design and execute statistical analyses, hypothesis testing, and experimental design for research projects.
• Extract, clean, and transform complex data from various sources, ensuring data integrity and quality.
• Collaborate with biologists, chemists, and clinicians to translate research questions into data science problems.
• Visualize data and model outputs for presentations to technical and non-technical audiences.
• Stay current with advances in data science and life sciences domains.

Skills

Python

R

Pandas

Scikit-learn

TensorFlow

Statistical modeling

Hypothesis testing

Experiment design

Communication

Education

Master's or PhD in Data Science/Statistics/CS/Bioinformatics

Tools

AWS

Azure

GCP

Job description

About the Role

Our client is seeking a highly skilled and motivated Senior Data Scientist to join their fully remote, cutting-edge research division focusing on the life sciences . This pivotal role will involve leveraging advanced analytical techniques and machine learning to extract meaningful insights from complex biological and clinical datasets. You will play a key part in driving data-driven decision-making across multiple research programs, contributing to the development of novel therapies and diagnostics. This is an exceptional opportunity for an experienced data scientist to contribute impactful work remotely, collaborating with a diverse team of experts.

Key Responsibilities

• Develop, implement, and validate predictive models and analytical solutions for large-scale biological and clinical datasets.
• Design and execute statistical analyses, hypothesis testing, and experimental design for research projects.
• Extract, clean, and transform complex data from various sources, ensuring data integrity and quality.
• Collaborate with biologists, chemists, and clinicians to translate research questions into data science problems and interpret results.
• Visualize data and model outputs effectively for presentations to both technical and non-technical audiences.
• Stay current with the latest advancements in data science, machine learning, and relevant life science domains.

Requirements

• Master's or Ph.D. in Data Science, Statistics, Computer Science, Bioinformatics, or a related quantitative field.
• Minimum of 6 years of professional experience as a Data Scientist, with a strong focus on the life sciences sector.
• Proficiency in programming languages such as Python or R, and experience with data manipulation and machine learning libraries (e.g., Pandas, Scikit-learn, TensorFlow).
• Strong understanding of statistical modeling, hypothesis testing, and experimental design.
• Experience with cloud computing platforms (e.g., AWS, Azure, GCP) and big data technologies is a plus.
• Excellent analytical, problem-solving, and communication skills, with the ability to work effectively in a remote, collaborative team environment from Queenstown or elsewhere.

Benefits

• Highly competitive salary and performance-based bonus compensation.
• Comprehensive health, dental, and vision insurance plans.
• Flexible remote working arrangements with support for home office setup.
• Generous paid time off and opportunities for professional development.
• The chance to work on groundbreaking research with a talented and diverse global team, driving innovation in the life sciences .