Biostatistician

Source One is a consulting services company and we’re currently looking for the following individual to work as a consultant with our direct client, a global pharmaceutical manufacturing client in South San Francisco, CA . This is a Hybrid role see details below.

This role will be onsite and available to candidates local to the South San Francisco, CA area. We are interested in every qualified candidate who is eligible to work in the United States. Unfortunately, we are not able to sponsor visas or employ corp-to-corp

Title : Biostatistician II

Location : South San Francisco, CA

Onsite (Mon-Fri, 40 hours)

Contract Duration : 12 months, with likely extension

Pay Rate : $52.64 per hour (w2)

Preferred experience : protein design, CAR design, or synthetic biology domain

Description :

As a Bioinformatics Analyst, you will play a critical role in analyzing large genomic and Client NGS assay datasets to support drug discovery programs, with a focus on Cell Therapy therapeutics. Your primary responsibilities include executing, applying, and analyzing sequencing and assay data to identify potential therapeutic candidates. You 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.

About You

You have a strong background in statistics and software development, with proficiency in Python and experience working with both open-source and custom packages. You follow best practices in code development and enjoy collaborating with a diverse range of engineers and scientists. You are skilled at guiding study design and data interpretation, and capable of translating complex biological questions into quantifiable hypotheses and analyses. You thrive in multidisciplinary teams supporting drug discovery 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 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.

Qualifications