Senior Data Scientist # 4630

Responsibilities:

Envision design and lead projects to evaluate and improve machine learning classifier performance for cancer detection

Collaborate cross-functionally with scientists engineers and clinicians to plan execute and interpret experiments

Develop high-quality reproducible and scalable software aligned with sound engineering principles

Apply best practices in machine learning and statistics to generate robust interpretable and reliable results

Analyze large-scale sequencing and genomics datasets to extract meaningful biological insights

Contribute to the development and evaluation of novel machine learning methods including deep learning approaches

Communicate findings and present updates regularly in technical and cross-functional forums

Contribute to scientific publications internal tools and production systems

These responsibilities summarize the role’s primary responsibilities and are not an exhaustive list. They may change at the company’s discretion.

Required Qualifications

Required Qualifications

Ph.D. in Bioinformatics Computational Biology Computer Science Statistics Machine Learning or a related field with 2+ years of relevant experience OR
M.S. with 4+ years of relevant experience OR
B.S. with 6+ years of relevant experience or equivalent practical experience

2+ years of experience applying machine learning or statistical modeling in a research or production environment

Strong expertise in data analysis using Python or R

Deep understanding of modern machine learning and statistical methods

Experience developing reproducible well-structured code in a collaborative environment

Strong written and verbal communication skills

Preferred Qualifications:

Experience with modern AI techniques including deep learning and/or large language model (LLM) training or adaptation

Experience working with sequencing or genomics data and deriving biological insights

Track record of scientific contributions (e.g. publications tools datasets patents or conference presentations)

Experience with system-level programming languages (e.g. Go Java C C++)

Familiarity with version control (e.g. Git) and reproducible research practices in Linux environments

Demonstrated ability to independently drive projects while collaborating effectively across teams

Interest in translating research innovations into production-ready systems

What We Do

GRAIL is a healthcare company whose mission is to detect cancer early when it can be cured. GRAIL is using the power of high-intensity sequencing population-scale clinical studies and state-of-the-art computer science and data science to enhance the scientific understanding of cancer biology and to develop and commercialize pioneering products.

Why Work With Us

Everything we do is guided by our mission to detect cancer early when it can be cured. It’s the reason we’re here and it’s no small task. The right people make all the difference. That’s why we’re looking for those who strive to share their knowledge contribute their skills inspire each other and commit to something bigger than themselves.

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