Clinical Bioinformatics, Senior Manager/Associate Director

San Diego, CA

  • We are seeking a responsible, dynamic, creative and highly motivated Clinical Bioinformatics Scientist to join our Translational Science group to develop and implement computational approaches that translate findings from multi-omic clinical trial data, external database mining and internal transcriptomic studies into therapeutic hypotheses to further elucidate Samumed compounds’ mechanism of action, identify opportunities for patient stratification, and support indication selection.
  • This is a full-time position in the company’s San Diego headquarters.

Specific Responsibilities

  • Analyzing clinical and translational patient data from Samumed clinical trials to identify patterns and biomarkers of response
  • Mining publicly available and proprietary oncology-focused genomic databases to develop novel insights and generate new hypotheses
  • Interpreting results and building tools to facilitate the effective communication and exploration of data to internal scientific and clinical teams
  • Communicating and reporting genetic findings and analyses with colleagues, collaborators and through peer-reviewed publication
  • Surveying the latest developments in the broader genetics community and incorporating relevant approaches for internal studies
  • Participating in project teams with Samumed scientists and external collaborators and having an impact on the treatment of patients


  • PhD or advanced degree in Bioinformatics/Computational Biology with 4+ years of relevant experience in biopharmaceutical industry or academia
  • Data science skills to collect, integrate, mine and analyze complex biological data and translate them into testable hypotheses
  • Experience in analysis of large-scale multi-omics data such as RNA-seq, whole-exome seq, functional genomics and pharmacogenomics data analyses
  • Advanced knowledge in cancer genomics, immunology and molecular biology
  • Experience in mining and analysis of public oncology genomic databases, such as TCGA, cBioPortal, etc..
  • Experience developing software within the Linux environment
  • Strong programming capabilities in scripting languages (Python, Javascript) and proficient with Java or C++.
  • Expertise with R and statistical analysis strongly desired
  • Previous experience with machine learning methods and multivariate statistics particularly around biological data
  • Strong skillset in Python + SciKit-Learn, PyTorch highly desirable.
  • Experience writing and optimizing SQL for Oracle/MySQL/Postgres databases and strong understanding of relational databases. Experience with NoSQL databases a plus.
  • Ability to multitask, work independently, and execute in a dynamic organization
  • Strong skills in synthesizing data, and effectively communicating complex ideas to a broad scientific audience
  • Proven ability to collaborate in a team environment and work independently
  • Excellent oral and written communication skills
  • Must be a team-player, punctual and reliable, dependable and flexible in adapting to change in a multi-disciplinary, fast-paced work environment

Please submit your resume or additional inquiries to Please include the complete title of the position for which you are applying in the subject line of your email. Emails that do not include this information will be disregarded. NO PHONE CALLS PLEASE.