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Biotech Data Science Jobs in Raleigh, NC (NOW HIRING)

GRAIL

Data Engineer #4885

Durham, NC · On-site +1

$110K - $132K/yr

For more information, please visit grail.com As a Senior Data Analytics Engineer in Operational ... Experience in regulated life sciences/biotech environments and familiarity with clinical laboratory ...

GRAIL

Data Engineer # 4885

Durham, NC · On-site

$110K - $132K/yr

For more information, please visit grail.com As a Senior Data Analytics Engineer in Operational ... Experience in regulated life sciences/biotech environments and familiarity with clinical laboratory ...

GRAIL

Data Engineer #4885

Durham, NC · On-site +1

$110K - $132K/yr

For more information, please visit grail.com As a Senior Data Analytics Engineer in Operational ... Experience in regulated life sciences/biotech environments and familiarity with clinical laboratory ...

GRAIL

Staff Scientist, Assay R&D #4832

Durham, NC

... computer science and data science to overcome one of medicine's greatest challenges. GRAIL is ... PhD in Molecular Biology, Biochemistry, Biotechnology, or related scientific discipline with 5+ ...

GRAIL

Staff Scientist, Assay R&D #4832

Durham, NC

... computer science and data science to overcome one of medicine's greatest challenges. GRAIL is ... PhD in Molecular Biology, Biochemistry, Biotechnology, or related scientific discipline with 5+ ...

GRAIL

Staff Scientist, Assay R&D #4832

Durham, NC · On-site

... computer science and data science to overcome one of medicine's greatest challenges. GRAIL is ... PhD in Molecular Biology, Biochemistry, Biotechnology, or related scientific discipline with 5+ ...

IQVIA

CRA 1, IQVIA Biotech

Durham, NC

$71K - $145K/yr

This role is essential in protecting patient safety, ensuring highquality clinical data, and ... Bachelor's degree required; a scientific or healthcare discipline is preferred. * 6 months -2 years ...

IQVIA, Inc.

CRA 1, IQVIA Biotech

Durham, NC · On-site

$71K - $145K/yr

This role is essential in protecting patient safety, ensuring high-quality clinical data, and ... Bachelor's degree required; a scientific or healthcare discipline is preferred. * 6 months -2 years ...

IQVIA

CRA 1, IQVIA Biotech

Durham, NC

$71K - $145K/yr

This role is essential in protecting patient safety, ensuring highquality clinical data, and ... Bachelor's degree required; a scientific or healthcare discipline is preferred. * 6 months -2 years ...

Alliance Biotech Solutions LLC

CSV Engineer

Raleigh, NC · On-site

Experience & Skills • Bachelor's degree in Engineering, Computer Science, Information Systems ... data platforms, and computerized systems within pharmaceutical, biotechnology, medical device, or ...

GRAIL

Senior Scientist (Supervisor) #4874

Durham, NC · On-site

$88K - $120K/yr

... computer science and data science to overcome one of medicine's greatest challenges. GRAIL is ... PhD in Molecular Biology, Biochemistry, Biotechnology, or related scientific discipline with 2-5 ...

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All JobsBiotech Data Science JobsBiotech Data Science Jobs in Raleigh, NC

Biotech Data Science information

See Raleigh, NC salary details

$36.5K

$119.3K

$191K

How much do biotech data science jobs pay per year?

As of Jul 27, 2026, the average yearly pay for biotech data science in Raleigh, NC is $119,305.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,700.00 and $132,200.00 per year, depending on experience, location, and employer.

Can data scientists make $300k?

Biotech data scientists can potentially earn $300,000 or more annually, especially with extensive experience, advanced skills in machine learning and bioinformatics, and working in senior or specialized roles. Compensation varies based on location, company size, and individual expertise, with some senior-level positions reaching or exceeding this salary level.

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 are the key skills and qualifications needed to thrive in the Biotech Data Science position, 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 is a biotech data scientist?

A biotech data scientist analyzes biological and medical data to support research and development in the biotechnology industry. They use skills in statistics, programming, and machine learning, often working with tools like Python, R, and SQL to interpret complex datasets and inform decision-making.

What is a Biotech Data Science job?

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.

How can data science be used in biotechnology?

Biotech data scientists analyze large biological datasets to identify patterns, develop predictive models, and optimize processes such as drug discovery, genetic research, and personalized medicine. They use tools like machine learning, statistical analysis, and bioinformatics software to support research and development efforts in biotechnology companies and labs.

Can a biotechnologist become a data scientist?

A biotechnologist can become a data scientist by acquiring skills in programming, statistics, and machine learning, often through additional training or education such as online courses or advanced degrees. Their background in biology and laboratory data can provide a strong foundation for analyzing complex datasets in data science roles within biotech and healthcare industries.
What are popular job titles related to Biotech Data Science jobs in Raleigh, NC? For Biotech Data Science jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Biotech Data Science jobs in Raleigh, NC look for? The top searched job categories for Biotech Data Science jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Biotech Data Science jobs? Cities near Raleigh, NC with the most Biotech Data Science job openings:
Biotech Data Science jobs near you
Infographic showing various Biotech Data Science job openings in Raleigh, NC as of July 2026, with employment types broken down into 89% Full Time, 3% Part Time, 1% Temporary, and 7% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $119,312 per year, or $57.4 per hour.
Data Engineer #4885

Data Engineer #4885

GRAIL

Durham, NC • On-site, Remote

$110K - $132K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago

Job description

Our mission is to detect cancer early, when it can be cured. We are working to change the trajectory of cancer mortality and bring stakeholders together to adopt innovative, safe, and effective technologies that can transform cancer care.
 
We are a healthcare company, pioneering new technologies to advance early cancer detection. We have built a multi-disciplinary organization of scientists, engineers, and physicians and we are using the power of next-generation sequencing (NGS), population-scale clinical studies, and state-of-the-art computer science and data science to overcome one of medicine's greatest challenges.
 
GRAIL is headquartered in the bay area of California, with locations in Washington, D.C., North Carolina, and the United Kingdom. It is supported by leading global investors and pharmaceutical, technology, and healthcare companies.
 
For more information, please visit grail.com

As a Senior Data Analytics Engineer in Operational Intelligence, you will bridge Data Engineering, Data Science, and Analytics to curate and transform raw operational and laboratory data into BI-ready datasets and scalable data products. You will collaborate across Software, Operations, Research, Development, and Commercial to design and sustain a robust data ecosystem, while performing analysis and building and maintaining dashboards and analytical tools that monitor high-throughput lab processes. In this strategic, hands-on role, you will ensure the accuracy, accessibility, and utility of data and reporting systems that are critical to lab efficiency, traceability, and product quality, delivering trusted insights that drive measurable business value in a rapidly growing environment.

This role is based at our Durham, North Carolina, office. It offers a flexible work arrangement, with the ability to work from GRAIL's office or from home. Our current flexible work arrangement policy requires that a minimum of 60%, or 24 hours, of your total work week be on-site. Your specific schedule, determined in collaboration with your manager, will align with team and business needs and could exceed the 60% requirement for the site.

Responsibilities:
  • Build, evolve, and support dashboards, reports, and real-time monitoring tools for functional teams and executives that clearly communicate findings and drive data-informed decisions.; enable self-serve analytics and automate common ad hoc requests.
  • Implement and continuously improve process monitoring systems (e.g., SPC, automated controls, alerting) to track and stabilize process health.
  • Define, govern, and report KPIs for throughput, quality, efficiency, and compliance; proactively surface trends, anomalies, and risks.
  • Develop and deploy predictive analytics, trend analyses, and models to anticipate process, equipment, and quality issues; partner with Data Science on model integration and deployment.
  • Collect, cleanse, and analyze process and production data from high-throughput lab environments; ensure timely, reliable access to accurate datasets.
  • Provide rapid data extracts and tailored analyses to expedite troubleshooting, containment, and root-cause investigations.
  • Ensure data quality and integrity through robust testing, validation, lineage, and observability; establish and monitor SLAs for critical datasets.
  • Maintain comprehensive process documentation compliant with ISO, CLIA, CAP, NYS, GMP, and FDA requirements; ensure monitoring and reporting systems are audit-ready.
  • These responsibilities summarize the role's primary responsibilities and are not an exhaustive list. They may change at the company's discretion.
Required Qualifications:
  • Bachelor's degree in Computer Science, Statistics, Informatics, Information Systems, Engineering, Data Science, Life Sciences, or a related quantitative field.
  • 5+ years of relevant experience as a data analyst, analytics engineer, or data engineer delivering production-grade datasets, dashboards, and reports.
  • 3+ years of data modeling experience (dimensional/semantic).
  • 2+ years building dashboards and reports in a modern BI platform (e.g., Tableau).
  • Proficiency in SQL and at least one programming language (Python or R).
  • Hands-on experience with AWS analytics services (e.g., Redshift, S3, Glue, Managed Airflow) and/or Snowflake.
  • Experience working with SaaS application data sources (e.g., NetSuite, Salesforce, Workday, Coupa).
  • Proven expertise in process analytics, SPC, statistical methods, and root-cause analysis (e.g., JMP, Minitab; SQL; Python/R).
  • Demonstrated ability to collaborate with stakeholders and system users to deliver robust solutions and measurable results.
  • Experience in regulated life sciences/biotech environments and familiarity with clinical laboratory operations.
Preferred Qualifications:
  • 5+ years of laboratory operations experience in regulated medical device, diagnostics, or biotechnology settings.
  • Master's preferred.
  • Experience deploying and scaling process monitoring in high-throughput or automated environments.
  • Knowledge of end-to-end clinical lab workflows (sample shipment; pre-analytical, analytical, and post-analytical phases).
  • Strong understanding of regulatory and QMS frameworks (GMP, ISO 13485, ISO 15189, CLIA, CAP, NYS, FDA).
  • Excellent leadership, communication, and cross-functional collaboration skills

The expected, full-time, annual base pay scale for this position is 86K - $106K. Actual base pay will consider skills, experience, and location.


This role may be eligible for other forms of compensation, including an annual bonus and/or incentives, subject to the terms of the applicable plans and Company discretion. This range reflects a good-faith estimate of the range that the Company reasonably expects to pay for the position upon hire; the actual compensation offered may vary depending on factors such as the candidate's qualifications. Employees in this role are also eligible for GRAIL's comprehensive and competitive benefits package, offered in accordance with our applicable plans and policies. This package currently includes flexible time-off or vacation; a 401(k) retirement plan with employer match; medical, dental, and vision coverage; and carefully selected mindfulness programs.
 
GRAIL is an equal employment opportunity employer, and we are committed to building a workplace where every individual can thrive, contribute, and grow. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, age, disability, status as a protected veteran, , or any other class or characteristic protected by applicable federal, state, and local laws. Additionally, GRAIL will consider for employment qualified applicants with arrest and conviction records in a manner consistent with applicable law and provide reasonable accommodations to qualified individuals with disabilities. Please contact us at [email protected] if you require an accommodation to apply for an open position.
 
GRAIL maintains a drug-free workplace. We welcome job-seekers from all backgrounds to join us!
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