Scientist, Machine Learning and Computational Biology

Key Skills

Biostatistics, Data Visualization, Effective communication skills, Genetics, Large scale data processing, Machine learning techniques, Oncology, Predictive Modeling, Python Programming, PyTorch, R Programming, SQL, Statistical modeling, Supervised learning, TensorFlow, Unsupervised learning

Job Description

We are seeking exceptional researchers with backgrounds in machine learning, statistics, genomics, bioinformatics, and/or computational biology. Successful candidates will have a passion for independent research and technical problem-solving, as well as a demonstrated ability to develop and implement research-based ideas.

Note: Though our Therapeutics office is located in South San Francisco, CA, this position will be remotely based in the Chicago, IL area. We will consider exceptional candidates throughout the United States who are open to relocating to Chicago.

What You’ll Do

In this new role, you will be responsible for developing innovative algorithms and analysis tools that integrate genetic variation information with molecular, cellular, and phenotypic data. You will collaborate with a talented team on complex projects and present your findings to internal 23andMe scientific teams and the wider scientific community.

Areas of focus may include language modeling, Bayesian models, graph embeddings, representation learning, generative models, and self-supervised learning techniques. Familiarity with analyzing protein structure information, deep mutational scanning data, chromatin accessibility, or gene expression data from both bulk and single-cell RNA sequencing would be advantageous, but it is not essential. What is more important is genuine intellectual curiosity, excellent research skills, and a proven track record of scientific innovation and success.

What You’ll Bring

• Ph.D. in the physical or life sciences (e.g. Chemistry, Biology, Physics), or quantitative field (e.g. Computer Science, Statistics, Mathematics)
• Deep understanding of computational biology, genomics, or machine learning, as well as a successful record of academic or industry accomplishments, including the development of novel methods and analytical approaches for genomic data analysis
• Strong R or Python skills, and a working knowledge of SQL
• Experience with supervised and unsupervised machine learning algorithms
• Exceptional communication skills, with an ability to convey complex technical concepts and scientific insights to diverse audiences
• Ability to work in dynamic team-oriented environment
• Experience conducting research in relevant disease areas such as metabolic diseases, immune diseases, or oncology is a plus
• Experience with Python-based machine learning libraries (Pytorch, TensorFlow, etc) highly desirable
• Ability to meet and collaborate in-person in Chicago at least once a week
• For Scientist II level: Minimum of 3 years post-Ph.D. work experience in an academic or for-profit setting

Job title will be commensurate with experience and academic credentials

Pay Transparency

23andMe takes a market-based approach to pay, and amounts will vary depending on your geographic location. The salary range reflected here is for a candidate based in the Chicago, IL area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.

Chicago, IL Base Pay Range:

• Scientist I: $115,000—$173,000 USD
• Scientist II: $130,000—$196,000 USD
• Scientist: $151,000—$227,000 USD