Machine Learning Data Scientist – Algorithm Development

  • BHO Tech
  • San Jose, CA, United States
  • Jul 08, 2024
Full time Engineering

Job Description

Job Description:
Machine Learning Data Scientist – Algorithm Development
Redwood City, CA, US


We believe conquering cancer is a big data problem. That’s why we built the world’s leading comprehensive liquid biopsy. This non-invasive tool for accessing and sequencing tumor DNA is used by thousands of oncologists to help tens of thousands of advanced cancer patients. We believe the boom in cancer data acquisition we helped launch will drive important discoveries and new products. We’re working on some exciting ones, including in early detection, where the impact on patients can be profound. We’ve raised more than $500 million from investors including Sequoia Capital, Khosla Ventures, OrbiMed, and SoftBank.


We are committed to positively and significantly impacting patient health through technology breakthroughs that address long-standing unmet needs in oncology.

As the leader in the field of liquid biopsy, We had collected cancer genomic data from over 40,000 patients and is looking for machine learning data scientists excited about developing statistical and machine learning algorithms aimed at using this data to enable breakthroughs in cancer patient care.

Potential applications of machine learning using liquid biopsy data include (but are not limited to):

Using epigenetic signals to detect tissue of origin
Identifying biomarkers predicting drug response
Predicting the occurrence of cancer relapse
Detecting tumor residues after surgery
Enabling early detection of cancer in high risk patients


Use machine learning and signal processing techniques to develop new algorithms for NGS data analysis with impact on clinical patient care
Elucidate key dependencies and factors explaining observed mutational profiles across cancer types
Integrate internal and external genomic data sources for comprehensive analysis
Interact with medial affairs and technology teams to include expert knowledge of data attributes and to design experiments generating most pertinent data for analysis
Participate in brainstorming sessions, create and maintain a highly productive and motivating work environment
Provide written documentation and specifications


PhD. in machine learning, high dimensional statistics, computational biology, engineering, mathematics, physics or related fields
Experienced machine learning algorithm developer with focus on genomic data applications:
Experience using regression, supervised and unsupervised learning
Experience using deep learning applications to genomic data
Expert knowledge of probability and statistics with focus on working with high-dimensional data
Experienced in Python, R, and C/C++
Familiar with high-performance computing (SGE / grid, Mesos, MPI)
Great communicator with great written and verbal fluency in English
Ability to work independently, with minimal supervision
Dedicated to make a difference in a rapid-paced startup environment

We would like to talk with you about our exciting projects we currently have ongoing.

Kris Young
Account Director
BHO Tech
San Jose, San Francisco CA
Phone: (866) 816-1615 x 823