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Data Scientist
2 months ago
We are seeking a highly skilled Data Scientist to join our team at Lifelancer, a talent-hiring platform in Life Sciences, Pharma, and IT. As a Data Scientist, you will play a crucial role in developing and deploying data science solutions for business problems using Natural Language Processing (NLP) and other advanced analytics techniques.
Key Responsibilities- Collaborate with a centralized team of data scientists, engineers, and strategists to conceptualize and deploy data science solutions for business problems using NLP and other advanced analytics techniques.
- Design and execute A/B tests to quantify the value of these solutions and communicate findings to technical and non-technical audiences.
- Build and deliver compelling data visualizations and outputs to communicate findings to business leaders and stakeholders.
- Participate in the broader data science community to stay current with methodology, software, and data development and availability.
- Bachelor's, Master's, or PhD degree in a computational or quantitative discipline, including but not limited to data science, statistics, computer science, computational linguistics, biomedical informatics, neuroscience, physics, epidemiology, or health economics.
- 2 years of experience developing and/or applying ML/NLP solutions in an industry or academic context.
- Expertise in programming languages, version control, and other data science-related tools.
- Expertise in working with natural language data and building text-based products using both classic and state-of-the-art NLP techniques.
- Experience with LLM prompt engineering and familiarity with LLM-based workflows/architectures.
- Experience with statistical/analytical methodologies and algorithms.
- Exceptional communication skills and ability to present findings to non-technical audiences.
- Experience in effective data visualization approaches and a keen eye for detail in the visual communication of findings.
- Demonstrated history of adherence to highest standards of data ethics.
- 3 years of industry NLP data science experience.
- Familiarity with data product UX/UI design and testing.
- Familiarity with LLMOps, including deployment, monitoring, and maintenance of data solutions.
- Prior experience with using advanced analytics and/or developing advanced data visualizations and dashboards.
- Prior exposure to clinical data, real-world data, manufacturing, or supply chain data, or life sciences-related research data.
- Knowledge of the biopharma or healthcare industry.