Senior/Principal Scientist, Bioinformatics Job at Remix Therapeutics, Watertown, MA

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  • Remix Therapeutics
  • Watertown, MA

Job Description

Remix launched with a vision to transform patient's lives through modulation of RNA processing. Our breakthrough science provides a path to identify small molecules that impact the expression of disease driving mRNAs and proteins. We take on the challenge of addressing drug targets in diseases of high unmet medical need to bring new therapeutic options to patients. Remix has a commitment to demonstrate the highest levels of scientific integrity with urgency because those patients are counting on us to deliver. With an in-house technology platform built from scratch, we have rapidly generated multiple drug discovery programs that are advancing towards the clinic.

Position Summary:

Remix Therapeutics is a clinical stage biotech company focused on discovering modulators of RNA processing for undruggable disease drivers. We seek a creative and motivated Senior/Principal Scientist with a background in bioinformatics/computational biology to work in a collaborative team aimed at the discovery and development of novel RNA-processing modulators that target disease-causing genes across oncology and non-oncology indications.

The successful candidate will have a strong biology background and will work with a multi-disciplinary scientific team to analyze and interpret high-dimensional molecular data from a variety of next-generation sequencing platforms to understand compound mechanism of action, including identification of relevant biomarkers and therapeutic application. The scientist is expected to have expertise in mining proprietary and publicly available genomic data to draw actionable biological insights and hypotheses. He/she will develop and assess novel integrative approaches to analyze data and be expected to clearly communicate their approaches and results to scientists across multiple disciplines.

Remix Therapeutics was awarded the Best Places to Work in Boston 2025 by BioSpace. The company is financed by Atlas Venture, The Column Group, Foresite Capital, Arch Venture Partners, Alexandria Venture Investments, and Surveyor Capital. The company is based in Watertown, Massachusetts.

Principal Responsibilities:
  • Perform in silico analysis from various sequencing technologies to extract biological insights in compound mechanism of action, therapeutic strategy, and disease biology
  • Analyze multi-omic proprietary and publicly available data such as TCGA and DepMap and combine data sets to extract biological insight
  • Collaborate with bench scientists to design and execute experiments for the development of a comprehensive pre-clinical data package in oncology
  • Develop intuitive data visualizations, presentations, and communicate results the broader company
  • Participate and thrive in a culture of effective collaboration between experimental and computational scientists


Qualifications:

  • PhD in Computational Biology, Bioinformatics, or Computer Science
  • 5+ years experience in industry
  • Background in cancer biology preferred
  • Knowledge and experience with publicly available datasets (TCGA, GTEx, DepMap etc)
  • Outstanding bioinformatics programming skills in at least one language relevant to data analysis such as Python or R
  • Proficient with Linux environment and scripting language, such as bash
  • Proficient in cloud computing (e.g. AWS)
  • Ability to effectively communicate methodologies and results with colleagues, including bench scientists, research management, and project team leaders
  • Strong problem-solving and troubleshooting skills
  • Ability to work in a dynamic and fast-paced environment independently and efficiently
  • Knowledge of RNA-biology and splicing is preferred
  • Authorized to legally work in the US
  • Hybrid role: 3 days on-site, 2 days off-site


Salary Range:

$154,530 - $205,810 USD

This range reflects the expected base salary for this position, plus bonus, equity, and benefits as applicable. Actual salaries may vary based on factors, such as skill, experience, and qualification for the role.

Job Tags

Full time,

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