Scientist I, Computational Analytics

Research & Development Cambridge, Massachusetts



Repertoire Immune Medicines is seeking a computational biologist to build cutting edge computational methods across a wide range of clinical indications.  The Scientist I of Computational Analytics will be responsible for executing computational analysis and modeling projects to serve various functions across the R&D organization, including Platform Discovery and Translational Research. This position will develop tools to analyze large, single-cell multi-omics datasets, computational models to predict features of peptide-MHC affinity and TCR-pMHC reactivity, and methods to interrogate high-dimensional clinical data for exploratory purposes.

Repertoire has recently expanded the scope of its computational efforts and will be further integrating computational biology into all facets of the DECODE and DEPLOY platforms. The Computational Analytics group will work side-by-side with a Computational Engineering group, interfacing directly with our Platform Discovery, Translational Medicine, and Clinical teams to scope, build, and implement computational solutions. The ability to work in a fast-paced, highly collaborative environment will be critical to success.



  • Contribute methods, models, and visualization tools for Platform Discovery and Translational Research.
  • Build computational methods for characterizing TCR-pMHC interactions, quantifying biomarker expression, identifying features of cell phenotype, monitoring clonotype distribution, and applying population genetics to experimental design.
  • Apply new tools or data-mining techniques for integrative analysis and visualization of large data sets.
  • Ensure proper documentation of code, workflows, reports, and analyses.
  • Execute multiple projects in across matrixed teams, working with leadership to meet short timelines while maintaining scientific rigor.
  • Provide transparency and regular communication on project status, setbacks, and modification of strategy.



Basic Qualifications

  • Academic training in Computational Biology, Bioinformatics, Statistics, Computer Science, preferably with 2 yrs experience in biotech/pharma industry.
  • Proven ability to manage projects.
  • Experience analyzing single cell genomics data.
  • Experience in developing bioinformatics workflows for NGS-based assays.
  • Strong grounding in biology or medicine with statistical and quantitative data analysis skills.
  • Technical proficiency in Python and R.
  • Ability to apply new tools for the integrative analysis and visualization of multi-dimensional datasets.
  • Excellent verbal, written, analytical, and presentation communication skills.
  • Ability to meet critical timelines.


Preferred Qualifications

  • Experience with machine learning algorithms.
  • Experience with structural simulations.
  • Experience in data analysis using cloud computing infrastructure.
  • Ability to showcase technologies with external partners to support business development activities.
  • Strong scientific publication record with proven high levels of performance.
  • Experience analyzing imaging data (both histological as well as clinical).