Data Scientist

Found in: Appcast US C2 - 2 weeks ago

San Diego, United States Sapient Full time

About Us

Sapient is a fast-growing early-stage biotech company headquartered in San Diego, CA. Our focus is on accelerating drug development and transforming personalized medicine. Combining state-of-the-art mass spectrometry technology with advanced biocomputational services and multifaceted human health data, we enable biomarker discovery at unprecedented speed and scale to provide a deeper understanding of human biology and effectively align biological targets, patients, and drug therapies. We are a highly collaborative team of passionate scientists, clinicians, and engineers with expertise in various disciplines, committed to making innovations with scientific rigor. Ultimately, our platform technology enhances the precision and efficacy of treatments, touching and enhancing countless lives.


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 experience using a variety of data mining and statistical analysis methods and platforms, building and implementing models, using and creating algorithms, and contributing to the development of final products. The data scientist will work with a wide range of stakeholders and collaborate with chemists, biologists, and 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.


What awaits you / 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.


What we’re looking for

  • 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.
  • 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 team player.
  • Curious and eager to grow, thriving in a dynamic and intellectually challenging environment.


The requirements

  • 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 industry experience.
  • Great team player.



Position Location – San Diego, California (Sorrento Valley)

Position Type – Full-time, on-site or hybrid

Compensation Range – $100K-$150K

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