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Bioinformatics Scientist

South San Francisco, California

About Us 

Kardigan is a heart health company working to make cardiovascular disease preventable, curable and no longer the leading cause of death in the world.

It is Kardigan’s mission to develop multiple targeted treatments in parallel that bring people with cardiovascular diseases to the cures they deserve.
 
Led by Tassos Giannakakos, Jay Edelberg, M.D. and Bob McDowell, Ph.D., Kardigan’s co-founders have reunited after leading MyoKardia to discover and develop mavacamten, the first cardiac myosin inhibitor, resulting in an acquisition by Bristol Myers Squibb in 2020.
 
We have a cutting-edge discovery and translational research platform, a pipeline of late-stage candidates, and an industry-leading team that is driven to improve the lives of patients.
 
At Kardigan, we are motivated by our values which guide how we work, interact, and achieve our goals. Driven by patients and their families, we are deeply committed to improving the lives of patients and prioritizing their needs above all else. We believe in being authentic—leading with truth to bring out the best in others by creating an environment where every person knows they will be fully accepted. With an eagerness to learn, we encourage the highest levels of curiosity and are open to changing our minds. We are committed to winning as a team with urgency, excellence, and intention, and support each other no matter what role we play or where we sit. Lastly, we strive to enable the impossible because patients are counting on us. We are not afraid to take risks to unlock innovation and advance scientific discoveries.
 
These values are the foundation of our work, empowering us to make a real difference, every day.
 
 

About Us

Kardigan is a heart health company working to make cardiovascular disease preventable, curable and no longer the leading cause of death in the world.

It is Kardigan’s mission to develop multiple targeted treatments in parallel that bring people with cardiovascular diseases to the cures they deserve.

Led by Tassos Giannakakos, Jay Edelberg, M.D. and Bob McDowell, Ph.D., Kardigan’s co-founders have reunited after leading MyoKardia to discover and develop mavacamten, the first cardiac myosin inhibitor, resulting in an acquisition by Bristol Myers Squibb in 2020.

We have a cutting-edge discovery and translational research platform, a pipeline of late-stage candidates, and an industry-leading team that is driven to improve the lives of patients.

 

At Kardigan, we are motivated by our values which guide how we work, interact, and achieve our goals. Driven by patients and their families, we are deeply committed to improving the lives of patients and prioritizing their needs above all else. We believe in being authentic-leading with truth to bring out the best in others by creating an environment where every person knows they will be fully accepted. With an eagerness to learn, we encourage the highest levels of curiosity and are open to changing our minds. We are committed to winning as a team with urgency, excellence, and intention, and support each other no matter what role we play or where we sit. Lastly, we strive to enable the impossible because patients are counting on us. We are not afraid to take risks to unlock innovation and advance scientific discoveries.  

These values are the foundation of our work, empowering us to make a real difference, every day. 

This is a 4 day on-site position - M - TH 

 

Job Overview

We are seeking a Bioinformatics Scientist to join our Translational Research team and help drive therapeutic discovery in cardiovascular disease. In this role, you will apply computational and statistical methods to analyze and integrate large-scale biological and clinical datasets, generating insights that accelerate new target identification, biomarker discovery, patient stratification, and target validation.

The ideal candidate is a self-motivated scientist who combines strong technical skills with a passion for biology. You will work both independently and collaboratively with experimental and clinical teams to translate data into actionable discoveries that advance our therapeutic programs.

 

Essential Duties and Responsibilities

  • Design, perform, and interpret computational analyses of large-scale biological datasets, including genomic, transcriptomic, proteomic, and clinical data.
  • Collaborate with bench and clinical scientists to generate testable hypotheses and link computational insights to translational research goals.
  • Contribute to new target and biomarker discovery, conduct patient stratification analyses to support therapeutic development programs.
  • Participate in the preparation of scientific publications and conference presentations.
  • Stay current with advances in bioinformatics, data integration, and machine learning, and apply innovative methods to enhance ongoing research projects.

 

Qualifications and Preferred Skills

  • PhD. in Bioinformatics, Computational Biology, Computer Science, Statistics, or related quantitative fields.
  • 1–2 years of post-graduate experience in academia or industry.
  • Proven experience in experimental design and in applying bioinformatics methods to solve complex biological problems.
  • Hands-on experience in analyzing next-generation sequencing (NGS) data, including bulk RNA-seq, single-cell RNA-seq, and whole-exome sequencing (WES).
  • Familiarity with other omics data (e.g., proteomics, metabolomics) is highly desirable.
  • Strong programming skills in R and/or Python, with demonstrated ability to implement advanced analytical methods and create clear, insightful visualizations of complex biological data.
  • Experienced in Linux environments, and cloud computing; comfort using the command line interface is preferred.
  • Experienced in developing interactive data visualization tools, such as RShiny applications, is preferred.
  • Excellent communication skills, with the ability to present complex analyses and results to both computational and experimental audiences.

Ability to work independently while effectively contributing to collaborative, cross-functional teams in a fast-paced, dynamic environment

Exact Compensation may vary based on skills, experience and location.

Pay range

$131,000 - $171,000 USD

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