1

Phd Biophysics Data Scientist Jobs (NOW HIRING)

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field (PhD preferred for some roles) * 5+ years of experience in data science or a related field

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field (PhD preferred for some roles) * 5+ years of experience in data science or a related field

PhD, MS, or BA/BS in statistics, biostatistics, computer science, data science, life science, or a related field. * Relevant clinical development experience (programming, RBM/RBQM, Data Management ...

Waymo data scientists work hand-in-hand with engineering teams at each stage of the software ... PhD in a quantitative field * Experience solving problems related to Autonomous Driving or Ride ...

Master's/PhD in Computer Science, Data Science, or equivalent experience * 4-7 years of industry experience working with real-world datasets * Experience with Agile Scrum development methodology * C# ...

Data Scientist

Boulder, CO · On-site

$130K - $160K/yr

THE TYPE OF CANDIDATE WE'RE LOOKING FORMaster's or PhD in Data Science, Statistics, or related field.5-8 years of data science experience.Expertise in Python, SQL, and machine learning frameworks.

This role will be responsible for data science and ML Ops on the Databricks platform. This role ... MS or PhD preferred) in computer science, engineering, statistics, mathematics, or related field ...

MA or PhD degree in Computer Science, Engineering or other relevant area; graduate degree in Data Science or other quantitative field is preferred * Must be a U.S. Citizen Employment Type: FULL_TIME

Required : • PhD in a quantitative field (Statistics, Computer Science, Economics, Operations ... distributed data systems (e.g. Snowflake) through research or internships • Ability to ...

We are seeking a seasoned Data Scientist to collaborate closely with cross-functional teams. Your ... A PhD or MS in a quantitative field (e.g., Engineering, Mathematics, Natural Sciences, or Economics)

MA or PhD degree in Computer Science, Engineering or other relevant area; graduate degree in Data Science or other quantitative field is preferred * Must be a U.S. Citizen

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field (PhD preferred for some roles) * 5+ years of experience in data science or a related field

Data Scientist III Chantilly, VA (on-site at client facility) Full-Time, Long-Term Contract (1-Year ... PhD in a relevant field with 3+ years of experience; or an equivalent combination of education and ...

Data Scientist

Boston, MA

$160K - $180K/yr

Master's or PhD in a quantitative field such as Mathematics, Physics, Computer Science, or a related discipline. * Strong foundation in data analysis, statistical modeling, and machine learning ...

Required : • 5+ years of data science experience with a track record of thought leadership and innovation • A PhD or MS in a quantitative field (e.g., Engineering, Mathematics, Natural Sciences ...

Showing results 21-40

Phd Biophysics Data Scientist information

See salary details

$37.5K

$122.7K

$196.5K

How much do phd biophysics data scientist jobs pay per year?

As of Sep 11, 2026, the average yearly pay for phd biophysics data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What does a PhD biophysics data scientist do?

A PhD Biophysics Data Scientist applies advanced data analysis, machine learning, and computational modeling techniques to biological and physical data. They use their expertise in biophysics to interpret complex datasets, often working on problems such as protein structure prediction, drug discovery, or biomolecular simulations. Their work bridges the gap between experimental biology and computational science, enabling new insights and solutions in biomedical research.

What are the key skills and qualifications needed to thrive as a PhD biophysics data scientist, and why are they important?

To thrive as a PhD Biophysics Data Scientist, you need a strong background in biophysics, advanced quantitative analysis, and programming, typically supported by a PhD in a relevant field. Proficiency in statistical analysis tools (such as R or Python), machine learning frameworks, and experience with large-scale biological datasets are essential. Strong problem-solving abilities, effective communication, and interdisciplinary collaboration set top candidates apart. These skills enable accurate data-driven insights, effective teamwork, and innovation in solving complex biological problems.

What are some common interdisciplinary challenges faced by PhD biophysics data scientists when collaborating with experimental and computational teams?

PhD Biophysics Data Scientists often work at the intersection of biology, physics, and data science, requiring effective collaboration with both experimentalists and computational modelers. A common challenge is bridging the communication gap—translating complex biological or physical phenomena into data-driven models that are accessible to team members from varying backgrounds. Additionally, integrating heterogeneous datasets (such as imaging, sequencing, or simulation data) can be technically demanding and may require negotiating differences in data formats and standards. Overcoming these challenges often leads to more innovative solutions and provides valuable opportunities to deepen interdisciplinary expertise.

What are popular job titles related to Phd Biophysics Data Scientist jobs?

For Phd Biophysics Data Scientist jobs, the most frequently searched job titles are:

Infographic showing various Phd Biophysics Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Full-time

Re-posted 5 days ago


Job description

Overview

VTG is seeking a highly analytical and driven Data Scientist with at least 5 years of experience leveraging data to drive business insights and decision-making. The ideal candidate will have strong expertise in statistical analysis, machine learning, and data modeling, with the ability to translate complex data into actionable insights.


What will you do?
  • Analyze large, complex datasets to identify trends, patterns, and actionable insights
  • Develop, train, and validate machine learning and statistical models
  • Design and implement experiments, including A/B testing and predictive analytics
  • Collaborate with data engineers and analysts to ensure data quality and accessibility
  • Communicate findings and recommendations to technical and non-technical stakeholders
  • Build data visualizations and dashboards to present insights effectively
  • Deploy and monitor machine learning models in production environments
  • Continuously improve model performance and accuracy
  • Stay current with emerging data science techniques, tools, and technologies

Do you have what it takes?
  • Active TS/SCI with Polygraph required.
  • Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or related field (PhD preferred for some roles)
  • 5+ years of experience in data science or a related field
  • Strong proficiency in programming languages such as Python or R
  • Experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch)
  • Strong foundation in statistics, probability, and data analysis techniques
  • Experience with SQL and working with large datasets
  • Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn)
  • Familiarity with cloud platforms (AWS, Azure, or GCP)
Qualifications:
  • Active TS/SCI with Polygraph required.
  • Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or related field (PhD preferred for some roles)
  • 5+ years of experience in data science or a related field
  • Strong proficiency in programming languages such as Python or R
  • Experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch)
  • Strong foundation in statistics, probability, and data analysis techniques
  • Experience with SQL and working with large datasets
  • Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn)
  • Familiarity with cloud platforms (AWS, Azure, or GCP)
Education:UNAVAILABLEEmployment Type: FULL_TIME