Data Scientist, Bioengineering

Deep grounding in synthetic biology, molecular engineering, and computational methods for data-analysis.

Experience in biomolecular ultrasound.

Familiarity with fundamental concepts in NGS, Omics, ML, and molecular engineering.

Proficiency in Python / PyTorch / BoTorch / Pyro and comfort writing clean, reproducible production grade code.

Experience bridging machine learning and experimental science, especially working with sparse, noisy, and or high-cost data.

If you're excited about this role but don't meet every qualification, please apply. As we build, we're hiring for complementary strengths to form a high-impact team. For more information about hiring at Merge, please visit our Hiring FAQ

Merge Labs does not discriminate on the basis of race, color, religion, national origin, age, sex, sexual orientation, gender, gender identity, gender expression, marital status, physical or mental disability, medical condition, genetic information, family status, ancestry, citizenship, U.S. military (state and federal) and veteran status, or any other legally protected status. It is our intention that all applicants be given equal opportunity and that selection decisions are based on job related factors. We are an equal opportunity employer.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@merge.io.