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Urgent! Senior Biostatistician Job Opening In San Francisco California – Now Hiring CYNET SYSTEMS

Senior Biostatistician



Job description

Job Description:



Pay Range: $47.03hr - $53.03hr



Requirements:


  • As a Bioinformatics Analyst, candidates will play a critical role in analyzing large genomic and Client NGS assay datasets to support drug Client programs, with a focus on Cell Therapy therapeutics.


  • Candidates' primary responsibilities include executing, applying, and analyzing sequencing and assay data to identify potential therapeutic candidates.


  • Candidates will prepare data packages and summaries that facilitate cross-team communication and decision-making, while building, maintaining, and optimizing computational pipelines to ensure scalability, reproducibility, and efficiency.


  • Candidates have a strong background in statistics and software development, with proficiency in Python and experience working with both open-source and custom packages.


  • Candidates follow best practices in code development and enjoy collaborating with a diverse range of engineers and scientists.


  • Candidates are skilled at guiding study design and data interpretation, and capable of translating complex biological questions into quantifiable hypotheses and analyses.


  • Candidates thrive in multidisciplinary teams supporting drug Client efforts.



Key Responsibilities:


  • Perform quality control on sequencing and alignment data to ensure accuracy and precision.


  • Analyze large genomics datasets to extract meaningful insights related to drug Client.


  • Build, maintain, and optimize bioinformatics pipelines for scalability and reproducibility.


  • Support diverse drug programs through computational and statistical analyses.


  • Develop and refine statistical models and hypothesis tests to interpret complex datasets.


  • Clearly communicate study designs, methodologies, and key findings to interdisciplinary teams, including wet-lab scientists and project stakeholders.


  • Contribute to presentations and reports highlighting methods and outcomes.



Qualifications:


  • Proficiency in Python, with experience applying software development best practices.


  • Familiarity with cloud computing environments (e.g., AWS) for large-scale data analysis.


  • Experience with Git for version control and reproducibility.


  • Solid understanding of NGS technologies and biological assays.


  • Strong collaboration skills, especially in advising on study design and avoiding pitfalls in collaboration with wet-lab scientists, engineers, and protein designers.


  • Excellent communication skills, capable of translating biological questions into rigorous computational analyses.


  • Experience supporting drug Client programs in a biotech or pharmaceutical setting.


  • Prior experience presenting complex computational results to diverse audiences.




Required Skill Profession

Other General



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