ZipRecruiter

Log In

1

Biotech Data Science Jobs in Pacifica, CA (NOW HIRING)

Doist

Image Data Scientist

South San Francisco, CA · On-site

$120 - $180/hr

Our client, a world leader in life sciences and biotechnology, is looking for a "Image Data Scientist" based out of South San Francisco, CA. Job Duration: Long Term Contract (Possibility Of Extension ...

next page

Showing results 1-20

All JobsBiotech Data Science JobsBiotech Data Science Jobs in Pacifica, CA

Biotech Data Science information

See Pacifica, CA salary details

$43.2K

$141.4K

$226.4K

How much do biotech data science jobs pay per year?

As of Aug 27, 2026, the average yearly pay for biotech data science in Pacifica, CA is $141,433.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,500.00 and $156,700.00 per year, depending on experience, location, and employer.

What is a biotech data science?

A Biotech Data Science job involves analyzing complex biological and pharmaceutical data to drive research, innovation, and decision-making. Professionals in this field use machine learning, statistical modeling, and bioinformatics tools to extract insights from genomics, clinical trials, and drug discovery datasets. They collaborate with scientists, engineers, and healthcare professionals to improve treatments, develop new therapies, and optimize bioprocesses. Strong programming skills, domain knowledge in biology or biotechnology, and expertise in data analysis are essential for success in this role.

What are the key skills and qualifications needed to thrive in biotech data science, and why are they important?

To thrive in Biotech Data Science, you need a solid background in biology or biotechnology, strong statistical and analytical skills, and experience with data analysis languages like Python or R. Familiarity with bioinformatics tools, sequencing platforms, and data visualization software is often expected, with certifications in data science or related fields considered a plus. Excellent problem-solving, communication, and collaboration skills are essential when working across multidisciplinary teams. These competencies enable effective interpretation of complex biological data, driving innovation and insights in the biotech industry.

What are the most common challenges faced by professionals in biotech data science roles?

One of the primary challenges in Biotech Data Science is working with large, complex, and sometimes incomplete biological datasets, which require advanced analytical approaches and careful data curation. Professionals often need to stay current with rapidly evolving technologies and methods, which can be demanding but also rewarding for those who enjoy continuous learning. Collaboration with scientists, engineers, and regulatory teams is common, so adapting communication styles and translating technical findings to diverse audiences is key. Overcoming these challenges leads to meaningful scientific discoveries and significant career growth opportunities.

What cities near Pacifica, CA are hiring for Biotech Data Science jobs?

Cities near Pacifica, CA with the most Biotech Data Science job openings:

Biotech Data Science jobs near you
Infographic showing various Biotech Data Science job openings in Pacifica, CA as of August 2026, with employment types broken down into 50% Full Time, 20% Part Time, 10% Temporary, and 20% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $141,433 per year, or $68 per hour.

Image Data Scientist

Doist

South San Francisco, CA • On-site

$120 - $180/hr

Other

Medical, Dental, Vision, Retirement

Posted 9 days ago

Job description

Our client, a world leader in life sciences and biotechnology, is looking for a “Image Data Scientist” based out of South San Francisco, CA. Job Duration: Long Term Contract (Possibility Of Extension) Company Benefits: Medical, Dental, Vision, Paid Sick leave, 401K

The Translational Safety, Pathology – Digital Pathology team is seeking an Image Data Scientist to support the development of computational image analysis workflows for digital histopathology.

Key Responsibilities
  • Develop and implement image analysis pipelines for digital pathology / histopathology images using classical image processing, ML, and deep learning techniques.
  • Process and analyze Whole Slide Images (WSI) using tools such as OpenSlide or similar.
  • Collaborate with pathologists and scientists to design image analysis workflows aligned with biological research questions.
  • Perform statistical analyses, data visualization, and support development of AI-driven pathology algorithms.
  • Contribute to computational tool development and workflow optimization.
Required Qualifications
  • MS/PhD in Data Science, Computer Vision, Bioinformatics, Computational Biology, or related field with 5+ years of experience.
  • Strong Python programming skills including NumPy, Pandas, Scikit-learn, OpenCV.
  • Experience with computer vision, image processing, classification, segmentation, and digital pathology analytics.
  • Hands‑on experience with Whole Slide Image (WSI) analysis.
  • Expertise with deep learning frameworks such as PyTorch, TensorFlow, or Keras.
  • Experience working in HPC environments / SLURM.
  • Proficiency with Git/GitHub/GitLab version control.
Preferred Skills
  • Digital pathology platforms (HALO, Visiopharm, QuPath).
  • Object detection / segmentation tools (Detectron2).
  • Workflow orchestration (Dagster, Airflow).
  • Cloud computing exposure (AWS EC2).
  • GUI development using Tkinter or PyQt.
#J-18808-Ljbffr

Apply