Job Description

Job Description

Job Description

Salary: $120,000 - $150,000

About The Role:

We are in search of a passionate Data Scientist to support Sapient’s biomarker discovery service offerings and R&D effort with insights gained from analyzing clinical and multi-omics data.

This role is within the data science team, highly independent in nature, and working under the oversight and mentorship of the department head. This role will focus on solving unstructured problems and deriving insights from metabolomics, proteomics, genomics, and clinical data. The data scientist will have substantial experiences using a variety of data mining and statistical analysis methods and platforms, building and implementing models, using and creating algorithms, and contributing to final insights on biomarker discoveries. The data scientist will work with a wide range of stakeholders and collaborate with chemists, biologists, clinicians within and outside of the Company, and will have a demonstrated ability to drive biomarker discovery with their data-based insights. This is a great opportunity to tackle a diverse set of problems while shaping the future of drug development and healthcare.

Responsibilities:

• Define project and product-based problems, develop action plans to solve them, and synthesize solutions.
• Independently work to analyze datasets, mine databases, and create code according to Company-defined good practice, to drive optimization and improvement within and across projects.
• Solve unstructured and often ambiguous problems and provide reports on developed solutions to management.
• Apply statistical and machine learning methods with rigor to high-dimensional omics and clinical data to derive insights.
• Collaborate with scientists and clinicians internally and externally to investigate scientific and medical problems with rigorous analyses and critical thinking.
• Communicate methods used, data insights, and scientific findings to collaborators and clients with clarity.

Experience and Qualifications:

• MS, or PhD in Biostatistics, Bioinformatics, Computational Biology, Bioengineering, Data Science, Applied Math, Physics, or Life Science related scientific field.
• 3+ years of hands-on experience in statistical analysis and data mining, as well as modeling and coding.
• 1+ year of life sciences industry experience.
• Deep knowledge and understanding of statistical methods and basic machine learning algorithms.
• Life science domain knowledge and good intuition in applying appropriate data analysis approaches to best address questions given the scientific context.
• Experience in clinical or epidemiological study data analysis is preferred.
• Consistent use of git or other code management tools.
• Proficiency in Python or R for product-level code development.
• Strong use of clean code principles, testing principles, and understanding of CI/CD processes is preferred.
• Experience with database query language (e.g. SQL) and cloud computing (e.g. AWS) is preferred
• Excellence in communicating findings by visualizing the results, composing presentation slides, and forming a scientific report.
• Self-motivated, dedicated, and accountable.
• Curious and eager to grow, thriving in a dynamic and intellectually challenging environment.
• Great team player.

Position Location – San Diego, California (Sorrento Valley)

Position Type – Full-time, on-site

Compensation Range – $120K-$150K

Sapient is an equal opportunity employer. We value diversity, inclusivity and belonging of all people from different cultures socioeconomic backgrounds. We do not discriminate based on race, ethnicity, gender, age, sex, disability or any other secondary biases.

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