Overview
On Site
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - 12 Month(s)
Skills
Amazon Web Services
Assays
Bioinformatics
Cloud Computing
Collaboration
Job Details
We are looking for Senior Biostatistician for our client in San Francisco, CA
Job Title: Senior Biostatistician
Job Type: Contract
Job Description:
Pay Range: $47.03hr - $53.03hr
Requirements:
- As a Bioinformatics Analyst, candidates will play a critical role in analyzing large genomic and novel NGS assay datasets to support drug discovery 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 discovery efforts.
- Perform quality control on sequencing and alignment data to ensure accuracy and precision.
- Analyze large genomics datasets to extract meaningful insights related to drug discovery.
- 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.
- 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 discovery programs in a biotech or pharmaceutical setting.
- Prior experience presenting complex computational results to diverse audiences.
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