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Computational Biologist

2 months ago


Cambridge, Massachusetts, United States Flagship Ventures Full time
Position Overview:
Join a pioneering organization dedicated to advancing life sciences through cutting-edge technologies that revolutionize healthcare. As a key player in our team, you will contribute to the development of groundbreaking methods for detecting cellular dynamics using minimally invasive biospecimens.

About Us:
We are an early-stage biotech firm focused on creating advanced technological platforms that enhance disease detection and intervention. Our mission is to connect individuals with the most effective treatments to prevent disease progression.

Key Responsibilities:
  • Develop computational strategies to analyze signals from extracellular vesicles derived from human samples.
  • Perform multi-omic analyses on human biospecimens and related datasets.
  • Utilize public data to explore early disease transitions from minimally invasive samples.
  • Assist in the design and analysis of data from cellular biology experiments to validate key hypotheses.
  • Stay updated with scientific literature to maintain technical expertise.
  • Collaborate with Contract Research Organizations (CROs) and external partners.
  • Effectively communicate research findings through presentations and reports to the team.
  • Lead and mentor a computational team to foster growth and innovation.

Qualifications:
The ideal candidate will possess:
  • A PhD in computational biology, systems biology, bioinformatics, computer science, or a related discipline, with 2-4 years of relevant industry or postdoctoral experience.
  • Expertise in computational support for wet-lab experimental design, including power analysis and Bayesian planning.
  • Hands-on experience with modern machine learning frameworks such as PyTorch or TensorFlow.
  • Familiarity with next-generation sequencing (NGS) techniques and collaboration with experimental biologists.
  • Experience in analyzing -omics data (e.g., RNA-seq, proteomics) using programming languages like R or Python.
  • Knowledge of statistical inference and machine learning methodologies.
  • Strong project management skills, with the ability to work independently and collaboratively.
  • Excellent communication skills for presenting scientific data to diverse audiences.
  • A detail-oriented, flexible, and inquisitive mindset.
  • A passion for contributing to the foundation of an innovative biotech company.

About Our Company:
We are committed to equal employment opportunities and value diversity in our workforce. We believe that varied experiences and perspectives enhance our innovation and success. If you are enthusiastic about making a significant impact in the biotech field, we encourage you to explore this opportunity.