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Senior Computational Biologist – Proteomics

Position Description

Juvena Therapeutics, Inc. is a regenerative medicine biotech startup inviting applicants for Computational Biologist – Proteomics who are excited to work as a core member of a team focused on the discovery and validation of novel candidate biologics for tissue regeneration and increased stem cell activity.

The senior computational biologist will be responsible for driving lead biologics and biomarker discovery and prioritization from proteomics and multi-omics experiments by using their deep understanding of protein identification, quantitation,  and characterization, extracting meaningful biological insights from large, complex omics datasets (such as interaction networks, molecular single cell resolution studies, expression profiling), and integrating the results into Juvena Therapeutics’ growing in-house knowledge ecosystem. Expertise in protein modeling for computational chemistry/drug discovery would be considered equal to and in place of multi-omics analysis experience.

They will develop and apply creative, leading-edge approaches in bioinformatics, biostatistics, and machine-learning to identify novel biologics and enhance the efficiency of lead therapeutic drug screening and design. They will also support all stages of drug development that require proteomics applications and/or computational biology/bioinformatics.

The position is full-time starting as early as possible. This is the perfect opportunity for someone interested in the exciting and fast-paced environment of a startup company looking to make a difference in human health and healthspan.

Company Summary

Juvena Therapeutics is a venture backed biotechnology startup discovering and developing disease-modifying biologics by leveraging their computationally-driven discovery platform to rapidly identify and validate secreted proteins with regenerative potential for multiple rare and chronic diseases.

At Juvena Therapeutics, we are on a mission to discover and develop biologics for rare and chronic degenerative diseases by mapping secreted proteins to unmet medical needs through a machine learning (ML)-enhanced platform. Juvena’s approach integrates proteomics, transcriptomics and imaging with phenotypic human in vitro disease model screening and extensive preclinical validation to mine the therapeutic potential of human stem cell secretomes as a rich source of new medicines that promote tissue regeneration and repair. We are advancing lead drug candidates for muscular dystrophies, atrophy, injury, and osteopathies, and establishing new programs targeting tissue-specific degenerative diseases across multiple therapeutic areas. Since our launch in mid-2018, Juvena has discovered and validated several hits for neuromuscular, skeletal, and metabolic diseases. Juvena’ preclinical programs are supported by funding from the National Institute of Health (NIH) and the California Institute of Regenerative Medicine (CIRM). Juvena is advancing a lead program for Myotonic Dystrophy Type 1, a rare autosomal dominant, progressive muscle-wasting disease.

At Juvena we embrace a diversity of backgrounds, experience and approaches that all combine to lead us to world-class scientific results in an inclusive environment.

Position Location and work permit requirement

640 Galveston Dr. Redwood City, 64063

Candidate must be legally authorized to work in the US.

Major Responsibilities

  • Bring to the Discovery team your expertise in:
    • Design and analysis of data-dependent acquisition  and data-independent acquisition proteomics experiments (mass-spec based required)
    • Analysis of isobaric labeling proteomics data
  • Integrate analysis of multi-omics and interaction network data or computational protein/drug discovery modeling
  • Reference and re-analyze existing proteomics datasets
  • Develop and apply machine learning methods to enhance the efficiency of candidate biologics discovery and screening for increased stem cell activity.
  • Work cross-functionally to create the best possible pipeline of candidate therapeutics and the tools to scale out efficiently across multiple indications. 
  • Improve efficiency by automating data extractions, analyses, and reporting; 
  • Other scientific tasks as required.
  • Actively survey the forefront of published methods and resources for your field and internalize key aspects to the company

Position Requirements and Experience

This position is a great fit if you have/are:

  • Ph.D. in bioinformatics, biology, biochemistry or analytical chemistry with 5+ years relevant experience in mass spectrometry-based proteomics 
  • Broad knowledge of mass spectrometry-based protein quantification and characterization strategies & analysis tools
  • Demonstrated mastery of bioinformatics/proteomics/multi-omics analysis with publications, co-inventorships, or other impressive achievements
  • Highly communicative. Effective communicator verbally, in writing, and in presentations to both expert and novice audiences
  • Self-Starter – Can work independently and/or collaboratively with scientists to make appropriate and timely decisions to meet deadlines on experiments and projects
  • Strong foundational knowledge and experience with biological data, particularly with methods generating large scale omics data sets (e.g. epigenomics, genomics, transcriptomics, proteomics)
  • Demonstrated expertise in an analysis and automation language (e.g. Python, R)
  • Demonstrated expertise in cloud computing systems – experience with Google Cloud and AWS resources is a plus
  • Familiarity with pharmaceutical R&D is a plus.
  • Industry or startup R&D experience is a plus.

Compensation and Benefits

  • Competitive salary, annual bonus and stock options
  • Health/Dental/Vision insurance
  • Paid vacation and holidays

Apply Now

To apply for this position please complete the form below. Once the form is complete, email your CV and Cover Letter to with the title of the position as the subject line.