Principal Scientist Jobs
Principal Scientist jobs are open across pharmaceuticals, biotechnology, materials science, and government research, from senior scientist to staff and principal levels, with specializations in drug discovery, computational modeling, and analytical chemistry. Find a role that fits from the openings below and apply directly.
Find Principal Scientist JobsLooking for remote work? View remote principal scientist jobs →Overview
Showing 5 of 465+ Principal Scientist jobs
If you are looking for a challenging and exciting career in the world of technology, then look no further. Skyworks is an innovator of high-performance analog semiconductors whose solutions are powering the wireless networking revolution. Through our broad technology expertise and one of the most extensive product portfolios in the industry, we are Connecting Everyone and Everything, All the Time.
At Skyworks, you will find a fast-paced environment with a strong focus on global collaboration, minimal layers of management, and the freedom to make meaningful contributions in a setting that encourages creative thinking. We are excited about the opportunity to work with you and glad you want to be part of a team of talented individuals who together are changing the way the world communicates.
Requisition ID: 78473
Description
We are seeking a highly motivated Senior Data Scientist to join our team and drive data-driven decision making across engineering, operations, and business functions. In this role, you will leverage advanced analytics, machine learning, statistical modeling, and large-scale data processing to transform complex datasets into actionable insights that improve products, processes, and business outcomes.
The ideal candidate is passionate about solving challenging problems, working with diverse data sources, and partnering with cross-functional stakeholders to deliver innovative analytical solutions. You will play a key role in designing and implementing scalable data science solutions, developing predictive models, and communicating insights that influence strategic and operational decisions.
Responsibilities
Lead end-to-end data science initiatives from problem definition through deployment, adoption, and value measurement. Develop machine learning, statistical, optimization, and AI solutions for complex engineering and business challenges. Analyze large-scale structured and unstructured data to generate actionable insights and recommendations. Design experiments, predictive models, forecasting systems, and anomaly-detection solutions. Build scalable data pipelines, automated workflows, analytical tools, and reusable data products. Create dashboards and visualizations that enable timely, data-driven decisions. Communicate technical findings and strategic recommendations to stakeholders and leadership.
Required Experience and Skills
Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Operations Research, or a related field.
8+ years of experience in Data Science, Machine Learning, Analytics, or a related field.
Solid understanding of statistics, experimental design, hypothesis testing, and predictive modeling.
Proven track record of delivering data-driven solutions that generated measurable business impact.
Experience developing, validating, and deploying machine learning and statistical models, including Regression, Classification, Clustering, Forecasting, Anomaly Detection.
Experience working with large-scale structured and unstructured datasets.
Experience extracting, transforming, integrating, and analyzing data from multiple disparate sources.
Experience collaborating with cross-functional stakeholders to translate business requirements into analytical solutions.
Strong problem-solving and analytical skills.
Ability to influence decision-making through data insights and recommendations.
Excellent written, verbal, and presentation skills.
Desired Experience and Skills
Preference for Master's degree or PhD in Data Science, Computer Science, Statistics, Mathematics, Engineering, Operations Research, or a related field.
Experience leading end-to-end data science projects from problem definition through deployment and business adoption.
Experience defining analytics strategy and influencing organizational direction.
Experience mentoring junior data scientists, analysts, or engineers.
Experience in semiconductor, manufacturing, quality, supply chain, product, or engineering analytics.
Experience applying analytics to Yield improvement, Process optimization, Quality improvement, Forecasting, Capacity planning, Root-cause analysis, Anomaly detection.
Experience with cloud and big data platforms such as Azure, AWS, Databricks, or Spark.
Experience with Generative AI, Large Language Models (LLMs), and AI-assisted analytics solutions.
Expertise in deep learning frameworks such as TensorFlow or PyTorch.
Knowledge of optimization methods, causal inference, advanced forecasting techniques, or reinforcement learning.
#LI-JR1
The typical base pay range for this role across the U.S. is currently USD $135,900 - $295,000 per year. Starting base pay will depend on relevant experience and skills, training and education, business needs, market demands, the ultimate job duties and requirements, and work location. Skyworks has different base pay ranges for different work locations in the U.S. Benefits include access to healthcare benefits (including a premium-free medical plan option), a 401(k) plan and company match, an employee stock purchase plan, paid time off (including vacation, sick/wellness, parental leave), among others. Employees are eligible to participate in an incentive plan, and certain roles are also eligible for additional awards, including recognition and stock. These incentives and awards are based on individual and/or company performance.
Skyworks is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Skyworks strives to create an accessible workplace; if you need an accommodation due to a disability, please contact us at accommodations@skyworksinc.com.
If you are looking for a challenging and exciting career in the world of technology, then look no further. Skyworks is an innovator of high-performance analog semiconductors whose solutions are powering the wireless networking revolution. Through our broad technology expertise and one of the most extensive product portfolios in the industry, we are Connecting Everyone and Everything, All the Time.
At Skyworks, you will find a fast-paced environment with a strong focus on global collaboration, minimal layers of management, and the freedom to make meaningful contributions in a setting that encourages creative thinking. We are excited about the opportunity to work with you and glad you want to be part of a team of talented individuals who together are changing the way the world communicates.
Requisition ID: 78473
Description
We are seeking a highly motivated Senior Data Scientist to join our team and drive data-driven decision making across engineering, operations, and business functions. In this role, you will leverage advanced analytics, machine learning, statistical modeling, and large-scale data processing to transform complex datasets into actionable insights that improve products, processes, and business outcomes.
The ideal candidate is passionate about solving challenging problems, working with diverse data sources, and partnering with cross-functional stakeholders to deliver innovative analytical solutions. You will play a key role in designing and implementing scalable data science solutions, developing predictive models, and communicating insights that influence strategic and operational decisions.
Responsibilities
Lead end-to-end data science initiatives from problem definition through deployment, adoption, and value measurement. Develop machine learning, statistical, optimization, and AI solutions for complex engineering and business challenges. Analyze large-scale structured and unstructured data to generate actionable insights and recommendations. Design experiments, predictive models, forecasting systems, and anomaly-detection solutions. Build scalable data pipelines, automated workflows, analytical tools, and reusable data products. Create dashboards and visualizations that enable timely, data-driven decisions. Communicate technical findings and strategic recommendations to stakeholders and leadership.
Required Experience and Skills
Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Operations Research, or a related field.
8+ years of experience in Data Science, Machine Learning, Analytics, or a related field.
Solid understanding of statistics, experimental design, hypothesis testing, and predictive modeling.
Proven track record of delivering data-driven solutions that generated measurable business impact.
Experience developing, validating, and deploying machine learning and statistical models, including Regression, Classification, Clustering, Forecasting, Anomaly Detection.
Experience working with large-scale structured and unstructured datasets.
Experience extracting, transforming, integrating, and analyzing data from multiple disparate sources.
Experience collaborating with cross-functional stakeholders to translate business requirements into analytical solutions.
Strong problem-solving and analytical skills.
Ability to influence decision-making through data insights and recommendations.
Excellent written, verbal, and presentation skills.
Desired Experience and Skills
Preference for Master's degree or PhD in Data Science, Computer Science, Statistics, Mathematics, Engineering, Operations Research, or a related field.
Experience leading end-to-end data science projects from problem definition through deployment and business adoption.
Experience defining analytics strategy and influencing organizational direction.
Experience mentoring junior data scientists, analysts, or engineers.
Experience in semiconductor, manufacturing, quality, supply chain, product, or engineering analytics.
Experience applying analytics to Yield improvement, Process optimization, Quality improvement, Forecasting, Capacity planning, Root-cause analysis, Anomaly detection.
Experience with cloud and big data platforms such as Azure, AWS, Databricks, or Spark.
Experience with Generative AI, Large Language Models (LLMs), and AI-assisted analytics solutions.
Expertise in deep learning frameworks such as TensorFlow or PyTorch.
Knowledge of optimization methods, causal inference, advanced forecasting techniques, or reinforcement learning.
#LI-JR1
The typical base pay range for this role across the U.S. is currently USD $135,900 - $295,000 per year. Starting base pay will depend on relevant experience and skills, training and education, business needs, market demands, the ultimate job duties and requirements, and work location. Skyworks has different base pay ranges for different work locations in the U.S. Benefits include access to healthcare benefits (including a premium-free medical plan option), a 401(k) plan and company match, an employee stock purchase plan, paid time off (including vacation, sick/wellness, parental leave), among others. Employees are eligible to participate in an incentive plan, and certain roles are also eligible for additional awards, including recognition and stock. These incentives and awards are based on individual and/or company performance.
Skyworks is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Skyworks strives to create an accessible workplace; if you need an accommodation due to a disability, please contact us at accommodations@skyworksinc.com.
Principal Scientist Jobs by Experience Level
Top Cities Hiring Principal Scientists
Explore principal scientist openings in the cities hiring most right now.
See All 465+ Principal Scientist Jobs
Find roles that match your experience and apply in just a few clicks.
Find Principal Scientist JobsPrincipal Scientist Job Market
Who's Hiring
- Amazon27
- AbbVie24
- Genentech17
- Capital One15
- Merck13
Top Industries Hiring
- Technology & Software27
- Biotechnology & Pharmaceuticals23
- Retail8
- Consulting & Professional Services8
- Science & Research7
What Employers Look For
The qualifications that appear most often in principal scientist jobs.
- PhD in a relevant scientific discipline such as biology, chemistry, biochemistry, or a related field
- Eight or more years of hands-on research experience in industry or government settings
- Demonstrated record of first- or senior-author peer-reviewed publications and patent contributions
- Proficiency with domain-specific tools such as molecular modeling software, analytical instrumentation, or statistical programming languages
- Experience leading cross-functional project teams and mentoring junior scientists or postdoctoral researchers
- Familiarity with regulatory submission processes such as IND, NDA, or equivalent documentation standards
Tips for Your Principal Scientist Job Search
Tailor your resume to publication impact
Principal scientist resumes live or die on demonstrated scientific leadership. Quantify your contributions by citing patents filed, peer-reviewed publications as first or senior author, and programs you advanced from discovery to development stage rather than listing duties.
Highlight cross-functional leadership experience
Hiring managers for principal scientist roles expect you to have led collaborations with regulatory, clinical, or engineering teams. Name the teams you partnered with, the decisions you influenced, and the outcomes those partnerships produced to distinguish your candidacy.
Apply early to roles that fit
Migrate Mate lists principal scientist openings from across the United States in one place, so you can find roles that match your specialization and apply directly to each listing without hunting across multiple sources.
Target job titles one level above your current role
Companies post the same scope of work under 'Senior Scientist,' 'Principal Scientist,' and 'Staff Scientist' interchangeably. Search all three variants and read the responsibilities carefully. Applying only to exact title matches means missing a large portion of relevant openings.
Prepare a scientific narrative for your interviews
Principal scientist interviews typically include a research seminar or whiteboard session. Practice presenting one flagship project from hypothesis through data to business decision in under 20 minutes, anticipating questions about failed experiments and how you redirected the work.
Negotiate scope and resources, not just compensation
At the principal level, negotiating headcount, lab budget, and independent project time matters as much as base pay. Before your offer conversation, identify the resources you need to deliver on the role's stated goals and be ready to make that case directly.
Principal Scientist Jobs: Frequently Asked Questions
Which companies are hiring the most principal scientists?
The companies hiring the most principal scientists right now include Amazon, AbbVie, and Genentech, with the largest share of openings in California, Massachusetts, and Virginia, based on current listings on Migrate Mate as of November 2026. Pharmaceutical, biotech, and contract research organizations consistently account for the majority of active openings.
How many principal scientist jobs are remote?
About 48% of principal scientist openings are fully remote or hybrid as of November 2026, though the share varies significantly by specialization. Computational biology, bioinformatics, and data science-adjacent principal scientist roles are the most likely to offer remote arrangements, while wet lab and instrumentation-heavy positions almost always require on-site presence.
How do you become a principal scientist?
Becoming a principal scientist typically requires a PhD in a relevant field followed by several years of progressively independent research experience in industry or government. You build toward the role by leading projects rather than executing tasks, publishing or patenting original work, and demonstrating that you can set scientific direction for a team. Transitioning from senior scientist to principal usually happens when you've shown you can define problems, not just solve them.
Can you get a principal scientist job without extensive experience?
Candidates with strong doctoral and postdoctoral credentials can sometimes step directly into junior principal scientist roles at smaller biotechs or startups, where title bands are compressed. The key is demonstrating scientific independence through publications, patents, or conference presentations rather than years on the job. Targeting companies that are early in building out a research function gives you the best chance of being hired at this level before accumulating a decade of industry experience.
What does the principal scientist interview process look like?
The principal scientist interview process typically includes an initial recruiter screen, one or two technical interviews with senior scientists or research directors, a research seminar where you present your past work to the broader team, and a final round with leadership or cross-functional stakeholders. Be ready to discuss not just your scientific results but the decisions you made along the way, how you handled setbacks, and how your work connected to business or program goals.
Where can I find and apply to principal scientist jobs?
You can find and apply to principal scientist jobs on Migrate Mate, which lists current openings from across the United States. The listings cover a range of industries and specializations, from pharmaceuticals and biotechnology to government research and materials science. Find roles that match your background and apply directly to each listing from the page.
See All 465+ Principal Scientist Jobs
Find roles that match your experience and apply in just a few clicks.
Find Principal Scientist Jobs