Computational Biology/Machine Learning Co-Op
Quick Summary
Company Each day, the lives of more than 2 billion people across the globe are impacted by chronic diseases. Moreover,
The computational biology team at Etiome is a small group of scientists with diverse expertise spanning machine learning, image analysis, biology, causal inference, and software development. The team’s main focus is on the development and application of the Temporal Biodynamics platform, which leverages the heterogeneity of scRNA-seq data and patient clinical information to build temporal models of disease. In collaboration with the biology team, we leverage these models to identify novel, stage-specific targets and biomarkers in applicable patient populations. We also close the loop on experimental validation by ingesting, processing, and helping interpret the data from in-house experiments that test our hypotheses.
We are seeking a computational biology/machine-learning co-op who will work on building and improving Etiome’s proprietary machine learning platform for modeling chronic diseases. The ideal candidate will have a strong background in machine learning, statistics, programming using python (especially in its application to transcriptomic analysis), a strong understanding of high-level concepts in biology, and excellent communication skills.
Responsibilities
~1 min read- →Build and improve Etiome’s machine learning platform using transcriptomic data
- →Build computational tools to aid in biological data analysis
- →Optimize and refine analysis based on biological interpretation of results
- →Document and record version-controlled analysis using git
- →Present results to the computational biology team
- →Work with the computational biology team to maintain and improve internal software
Requirements
~1 min read- Python programming experience
- Understanding of basic concepts in machine learning and statistics
- Strong understanding of general concepts in cellular biology as they apply to drug discovery
- Experience reading and interpreting results from scientific literature
Nice to Have
~1 min read- Exposure to single cell transcriptomic analysis software and concepts
- Understanding and experience in deep learning methods eg. autoencoders
- Experience working with version control/git
- Experience working with large-scale code repositories
The salary range for this role is $25 - $35. Compensation for the role will depend on a number of factors, including a candidate’s qualifications, skills, competencies, and experience. Etiome, Inc. currently offers healthcare coverage, annual incentive program, retirement benefits and a broad range of other benefits. Compensation and benefits information is based on Etiome, Inc.'s good faith estimate as of the date of publication and may be modified in the future.
Listing Details
- Posted
- April 15, 2026
- First seen
- March 26, 2026
- Last seen
- April 15, 2026
Posting Health
- Days active
- 20
- Repost count
- 0
- Trust Level
- 77%
- Scored at
- April 15, 2026
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