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Bioinformatics Scientist 1 or 2, Translational Medicine 

Research | Berkeley, CA | Full Time

Job Description

Plexxikon, a member of the Daiichi Sankyo Group, is a leader in the discovery and development of novel, small molecule pharmaceuticals. The company utilizes its proprietary discovery platform to successfully develop a portfolio of competitively differentiated clinical and preclinical stage compounds in a number of therapeutic areas. Plexxikon’s most advanced program, Zelboraf™ (vemurafenib) was the first precision medicine to be approved for the treatment of BRAF-mutant metastatic melanoma.   Plexxikon's demonstrated capability in discovery and early development uniquely positions the company to develop multiple commercial franchises for different therapeutic indications, and to create significant value for Plexxikon, Daiichi Sankyo and its collaborators.

Plexxikon's novel discovery approach, combined with experienced management and scientific teams, a broad network of scientific and clinical experts, and partnerships supporting later stage development, have been key drivers of the company's success since it began operations in 2001.  Plexxikon is a small business with approximately 70 employees based in Berkeley, California. 

As part of an integrated and cross-functional drug discovery team, members of the Translational Medicine (TM) group play a key role in successfully bridging discovery and preclinical research and human clinical trials and ensuring state of the art thinking and optimally informed decision making in drug development. We are seeking a highly motivated scientist with strong expertise in molecular and clinical data analysis, good understanding of the pharmacological principles and pharmaceutical practices, and broad knowledge of emerging, innovative technologies to join the team. The prospective new hire will report directly to the leader of the TM team. This is an exceptional opportunity to impact drug discovery and development in a highly successful biotech company.  

Responsibilities include, but are not limited to:

  • Develop and implement comprehensive plans to analyze multivariate molecular and clinical datasets, adhere to pre-specified timelines and performance standard, effectively communicate the results
  • Conduct multi-omic data analysis (RNA-seq, DNA-seq, Single-cell, FACS, NanoString, etc.), integrate with other preclinical and clinical data sources and execute exploratory analysis and reporting
  • Expression profiling, SNV/INDEL/structural variant calling, genomic association analysis
  • Maintain and improve upon current bioinformatics pipelines and computational infrastructure, contribute to the development of new analytical methods, streamline the analysis to enable real time collaboration
  • Query public data sources  and perform necessary computational analysis to answer specific questions regarding target/disease biology and clinical practice
  • Provide support to discovery and clinical trial teams, advise on best practice and help address unmet needs, perform clinical/preclinical data analysis and reporting for regulatory submission
  • Collaborate with external academic labs, aiding with experimental designs and contributing to data generation and analysis
  • Design, coordinate execution and report clinical biomarker experiments (biomarker identification and incorporation into clinical trials, monitoring/tracking clinical biosample collections and requesting sample shipments to assay labs, integrate biomarker data with clinical data, analyze/interpret and report results to team)
  • Maintain a current understanding of biomarker literature and methodology, as well as other scientific literature related to drug discovery projects
  • Follows the industry’s best practices for ensuring analytical reproducibility
  • Other duties as assigned

Position Requirements & Experience:

  • Ph.D. in Data Science, Bioinformatics or a related field (Biostatistics, Statistical Programming, Outcomes Research, etc.) with at least 2 years of related experience and a solid understanding of biology and strong interest in Translational Medicine and Clinical Research
  • Statistical programming experience with R or Python, interactive data visualization (eg. R Shiny)
  • Expertise in applied statistics and statistical methods including modeling and regression analysis
  • Comfortable with Linux command line and writing shell scripts to run in a highly parallelized environment
  • Experience analyzing high dimensional genomics and biomarker data from oncology/immuno-oncology studies preferred
  • Strong understanding of the latest sequencing technologies, library prep methods, etc.
  • A track record of accomplishments (including literature publications) demonstrating technical proficiency, independent thinking and scientific creativity
  • Excellent interpersonal, verbal and written communication skills are essential in this collaborative work environment
  • Comfortable in a fast-paced small company environment that requires flexibility to adjusting workloads based upon changing priorities and willingness to be a team player in order to accomplish the common goal of the project, regardless of level or type of work
  • Desire to learn and tackle new challenges is imperative 

Plexxikon, an equal opportunity employer, is located in Berkeley, just off interstate 80.  We offer a chance to work with talented people in a collaborative environment and provide excellent benefits including health insurance, an annual performance bonus and long-term incentive program, generous time off and much more.   To learn more about Plexxikon, please visit our website at

As an equal opportunity employer, Plexxikon is committed to a diverse workforce. Employment decisions regarding recruitment and selection will be made without discrimination based on race, color, religion, national origin, gender, age, sexual orientation, physical or mental disability, genetic information or characteristic, gender identity and expression, veteran status, or other non-job related characteristics or other prohibited grounds specified in applicable federal, state and local laws. In order to ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veterans' Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990.  For more information about equal employment opportunity protections, visit the EEOC.  

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