Data Scientist
Il y a 3 mois
Coders Connect is partnering with a cutting-edge biotechnology company specializing in the development of predictive preclinical research solutions. Their innovative solutions support advancements in biomedical and pharmaceutical research, enhancing the predictability and success of clinical studies.
One of the 3 drivers for the company's strategic plan is how levering data will improve their models and therefore bring drugs more quickly and safely to market.
Due to its strong scientific focus and its global pharmaceutical partners, the company generates and has access to a large volume and variety of data. For example:
- Omics data: expression profile of thousands of proteins/RNAs
- Bioprocess data: historical data with tens of parameters and hundreds of experiments
- Business data: historical data with tens of thousands of prospects history
- Bibliographic data: tens of thousands of documents of interest
Role Overview:
We are seeking a Data Scientist to join their dynamic team and play a key role in developing data-driven solutions that enhance preclinical research. This is a fantastic opportunity to work with state-of-the-art technologies, collaborate with experts, and contribute to groundbreaking research.
What You'll Do:
- Data Analysis: Perform complex data analyses and develop predictive models to support preclinical research projects.
- Collaborative Development: Work closely with software engineers and other team members to integrate data science solutions into the broader research framework.
- Model Building: Develop and refine machine learning models to extract actionable insights from large datasets.
- Data Visualisation: Create clear and insightful data visualisations to communicate findings to stakeholders.
- Research Support: Assist in the design and analysis of experiments, contributing to the development of new research methodologies.
- Continuous Learning: Stay up-to-date with the latest developments in data science and related technologies, applying new knowledge to enhance project outcomes
Requirements:
Technical Proficiency:
- Proficiency in data science programming languages (e.g., Python, R, SQL) and experience with data visualisation tools (e.g., Tableau, Power BI).
Skills:
- Analytical Skills: Strong analytical abilities to interpret complex datasets and derive meaningful insights.
- Communication: Effective communication skills to present technical information to both technical and non-technical stakeholders.
- Problem-Solving: Excellent problem-solving skills, with a proactive approach to overcoming challenges.
Experience & Mindset:
- Experience in data science, with a background in applying machine learning and statistical techniques to real-world problems. (3-5 years)
- Industry Knowledge: Familiarity with biomedical or pharmaceutical research is a plus, but not required.
- Innovative: Enthusiasm for exploring new technologies and methodologies in data science.
- Flexible: Ability to adapt to changing priorities and work effectively in a fast-paced environment.
- Collaborative: Strong team player with a focus on collaboration and shared success.
- Detail-Oriented: Attention to detail, ensuring precision and accuracy in all data-related tasks.
Benefits
- Innovative Projects: Contribute to pioneering research that advances preclinical study outcomes.
- Cutting-Edge Technology: Work with the latest data science tools and technologies.
- Professional Growth: Benefit from continuous learning opportunities and the chance to develop your skills in a dynamic environment.
- Collaborative Culture: Be part of a supportive and innovative team that values collaboration and shared success.
- Impactful Work: Play a crucial role in projects that have real-world applications in the biomedical and pharmaceutical fields.
Join us and be part of a team that is driving innovation and making a real difference in the field of preclinical research. Apply today
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