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Remote Google Biotech Jobs in California (NOW HIRING)

Data Scientist

Santa Cruz, CA · Remote

$130K - $170K/yr

... and biotechnology fields. Fullpower's B2B PaaS customers are in medical solutions, remote ... Experience with Amazon Web Services (AWS) or Google Cloud * Experience with C++ is a plus ...

Remote Google Biotech information

What skills and qualifications are needed to thrive as a Remote Google Biotech professional?

To thrive as a Remote Google Biotech professional, you generally need a strong background in biological sciences, data analysis, and bioinformatics, often supported by a relevant degree (such as biology, biotechnology, or computer science). Familiarity with bioinformatics tools, cloud computing platforms like Google Cloud, and programming languages such as Python or R is typically required. Excellent communication, problem-solving abilities, and self-motivation are crucial soft skills for collaborating remotely and driving innovation. These skills ensure effective research, data-driven decision-making, and seamless teamwork in a distributed biotech environment.

What is a Remote Google Biotech?

Remote Google Biotech jobs are positions within Google's biotechnology divisions or related projects that allow employees to work from locations outside of traditional Google offices. These roles typically involve research, development, or support in areas like genomics, healthcare data, or bioinformatics, leveraging Google's technology and infrastructure. Employees may collaborate on projects such as artificial intelligence in healthcare, drug discovery, or life sciences initiatives, often working with teams distributed globally. These positions require strong technical skills in both biology and technology, and the ability to work effectively in a virtual environment.

How does a Remote Google Biotech professional typically collaborate with cross-functional teams while working remotely?

As a Remote Google Biotech professional, collaboration is largely facilitated through digital platforms like Google Workspace, video conferencing, and project management tools. You’ll regularly coordinate with interdisciplinary teams—such as data scientists, research biologists, and software engineers—by joining virtual meetings, sharing real-time documents, and participating in collaborative brainstorming sessions. Strong communication skills and proactive scheduling are essential to ensure smooth teamwork across time zones. Remote roles at Google also often offer structured onboarding and mentorship to help new hires integrate effectively into their teams.
What are the most commonly searched types of Google Biotech jobs in California? The most popular types of Google Biotech jobs in California are:
What are popular job titles related to Remote Google Biotech jobs in California? For Remote Google Biotech jobs in California, the most frequently searched job titles are:
What cities in California are hiring for Remote Google Biotech jobs? Cities in California with the most Remote Google Biotech job openings:

$130K - $170K/yr

Full-time

Re-posted 18 days ago


Job description

Fullpower-AI delivers a complete B2B IoT platform for AI-powered algorithms, remote contactless biosensing together with end-to-end engineering services, and customization of software in the field of life sciences, health, and biotechnology. Fullpower's platform is vetted and deployed as a PaaS, backed by a patent portfolio of 135+ patents. Fullpower's key areas of expertise include contactless biosensing, remote monitoring, non-invasive sleep technology, and the development of new technologies for others in the life sciences and biotechnology fields. Fullpower's B2B PaaS customers are in medical solutions, remote-contactless biosensing, bedding solutions, wearable, and wellness services.

Fullpower is seeking a passionate, team-oriented, and self-motivated Data Scientist interested in working on our next generation of products and algorithms and modeling rich, biomedical sensor data with a view toward medical, health, and fitness outcomes.

The ideal candidate will have a strong background in machine learning and data science and a proven track record of deploying models and algorithms for real-world applications.

Job Responsibilities:

  • Work with health data and time-series sensor data
  • Connect biomedical sensor data with medical, health, and fitness outcomes
  • Research and development of machine learning algorithms and statistical models for non-invasive sleep tracking
  • Develop visualizations and tools for understanding and annotating data
  • Optimize algorithms for running on embedded devices and in the cloud
  • Design and run experiments and clinical trials
  • Processing, cleaning, and combining different data sources to create new datasets
  • Collaborate with an interdisciplinary team of scientists, engineers, mathematicians for quick deployment of solutions

Software skills:

  • Expertise in Python and packages such as numpy, pandas, scikit-learn
  • Experience with a deep learning framework such as Tensorflow, pyTorch, or equivalent
  • Experience working with databases including familiarity with SQL
  • Experience with Amazon Web Services (AWS) or Google Cloud
  • Experience with C++ is a plus

Leadership qualities:

  • Self starter
  • Strong interpersonal and communication skills

Education and Experience:

  • Experience applying data science and machine learning to real-world problems
  • Bachelor's degree or higher in Mathematics, Statistics, Physics, Computer Science, or equivalent
  • Graduate degree and/or 5+ years experience a plus

Additional Information:

  • Fullpower does not sponsor work visas - must already be authorized to work in the United States
  • The base salary range for this full-time position is $130,000 to $170,000, plus equity, plus benefits. Fullpower's salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education and training.
Employment Type: Full-Time